JP7513974B2 - Tsunami evacuation strategy review support system, tsunami evacuation strategy review support method, and computer program - Google Patents

Description

Article 30, Paragraph 2 of the Patent Act (1) Presented in the Proceedings of the 23rd Conference of the Japanese Society for Disaster Information Studies on November 27, 2021

(2) March 4, 2022: Announced at a meeting of the Ministry of Education, Culture, Sports, Science and Technology's Science and Technology Research and Development Commission

(3) March 18, 2022: Announced at a meeting of the Ministry of Education, Culture, Sports, Science and Technology's Science and Technology Research and Development Commission

(4) May 2022: Published in the results report of the Ministry of Education, Culture, Sports, Science and Technology's Science and Technology Research and Development Commission Project

(5) September 21, 2022, Announced at the Book of Abstracts at the IDRiM 2022 Conference

Article 30, Paragraph 2 of the Patent Act applies (6) October 3, 2022 Announcement at a meeting of the Ministry of Education, Culture, Sports, Science and Technology's Science and Technology Research and Development Commission

Article 30, Paragraph 2 of the Patent Act (7) October 14, 2022 Announcement at a meeting of the Ministry of Education, Culture, Sports, Science and Technology's Science and Technology Research and Development Commission

The present invention relates to technology that supports the consideration of strategies or policies for evacuation from tsunamis.

Tsunamis that run up land can cause enormous damage, so we need to conduct evacuation drills in advance to protect our lives. However, compared to disasters such as earthquakes and fires, tsunamis occur much less frequently, and many people have never experienced one, so it is difficult to imagine a tsunami, which makes evacuation drills lacking in realism.

In response, the following technology has been proposed. "Nigetore," described in Non-Patent Document 1, is a smartphone application for tsunami evacuation drills. This application combines the smartphone's GPS function with a tsunami inundation simulation function, and notifies the user in real time during the user's evacuation drill of the number of minutes it will take for the anticipated tsunami to reach the user's current location. Furthermore, it determines whether the evacuation is successful or not based on the approach of the tsunami to the user. By using this application to conduct an evacuation drill, the user can get a feel for the behavior of a tsunami and experience a more realistic evacuation drill than before.

Application "Nigetore", searched on September 9, 2022, URL https://nigetore.jp/, Kyoto University Disaster Prevention Research Institute, Yamori Laboratory "Nigetore" Development Team

If we want to take every precaution to protect human lives, everyone should evacuate immediately if there is even the slightest possibility of a tsunami occurring after an earthquake.

However, if tsunamis often do not come upstream even after people evacuate, residents gradually begin to take evacuation less seriously, and an increasing number of people stop evacuating.

Therefore, disaster prevention personnel in organizations such as local governments, companies, and educational institutions need to consider more appropriate strategies or policies regarding tsunami evacuation.

In light of these problems, the present invention aims to provide support for making it easier than ever to consider strategies or policies for evacuation from tsunamis.

A tsunami evacuation strategy review support system according to one embodiment of the present invention comprises an evaluation acquisition means for acquiring, for each of a plurality of individuals in a specific area, a degree of temporal proximity between the individual and the tsunami during the evacuation process as an evaluation of the evacuation from the individual's starting point to an evacuation site for the individual if a tsunami were to occur; a process change means for changing the process for each of the plurality of individuals based on given conditions; an evaluation calculation means for calculating, as a second evaluation of the evacuation for each of the plurality of individuals, a degree of proximity based on the process for each of the plurality of individuals changed by the process change means; and a map generation means for generating an evacuation characteristics map representing the characteristics of the good or bad of the evacuation in the specific area based on the evaluation of each of the plurality of individuals , and in a specified case generating the evacuation characteristics map based on the second evaluation instead of the evaluation .

Preferably, the evaluation acquisition means acquires, as the evaluation of each of the multiple individuals, the degree of closest approach between the individual and the tsunami during the individual's process, the evaluation calculation means calculates, as the second evaluation of each of the multiple individuals, the degree of closest approach during the individual's process as changed by the process change means, and the map generation means generates the evacuation characteristics map by placing an evaluation image corresponding to the evaluation or the second evaluation of each of the multiple individuals at a position on the map of the specific area corresponding to the departure location or the evacuation site of each of the multiple individuals.

Alternatively, the device may include an annotated information acquisition means for acquiring, as annotated information for each of the plurality of individuals, information regarding the attributes of the individual or information regarding the environment of the individual at the time of the evacuation, and a diagram presentation means for providing a diagram showing the distribution of the annotated information for each of the plurality of individuals for each of a plurality of elements or ranges, and when any of the plurality of elements or ranges is selected, the map generation means generates the evacuation characteristics map by arranging the evaluation image of the individual whose annotated information corresponds to the selected element or range among the plurality of individuals.

Alternatively , the evaluation acquisition means acquires the degree of approach of each of the multiple individuals at each of the multiple times in the process as the evaluation of each of the multiple individuals, and the map generation means generates the evacuation characteristics map by placing evaluation images corresponding to the evaluation of at least one of the multiple individuals at each of the multiple times at a position on the map of the specific area where the at least one of the multiple individuals was located at each of the multiple times.

The present invention allows operators to more easily consider tsunami evacuation strategies or policies than ever before.

1 is a diagram showing an example of the overall configuration of a tsunami evacuation strategy review support system 1. [0023] FIG. 2 is a diagram illustrating an example of a hardware configuration of an evacuation analysis server 2. FIG. 2 is a diagram illustrating an example of a functional configuration of the evacuation analysis server 2. FIG. FIG. 2 is a diagram illustrating an example of a functional configuration of a smartphone 4. 11 is a flowchart illustrating an example of an overall processing flow by an evacuation drill application 40. 11 is a diagram showing an example of evacuation drill data 53 and analysis data 54. FIG. FIG. 4 is a diagram showing an example of a main screen 6. 1A and 1B are diagrams showing examples of a target settings window 71 and a general settings window 73. FIG. 13 is a diagram showing an example of a region selection screen 69. FIG. 13 is a diagram showing an example of how dots 600 are arranged on the main screen 6. FIG. 6 is a diagram showing an example of an individual information window 601. FIG. 13 is a diagram showing an example of a condition change screen 74. 13 is a flowchart illustrating an example of the flow of a log change process. FIG. 11 is a diagram showing an example of a transition of log data 51. 13 is a flowchart illustrating an example of the flow of a reevaluation process. 1A to 1C are diagrams showing examples of chart screens 78a to 78d. 13A to 13H are diagrams showing examples of chart screens 78e to 78h. 1A to 1C are diagrams showing examples of chart screens 78i to 78n. FIG. 13 is a diagram showing an example of a state in which a plurality of chart screens 78 are open on the main screen 6. FIG. 13 is a diagram showing an example of a state in which an element of interest is selected on a chart screen 78. FIG. 13 is a diagram showing an example of a main screen 6 when filtering is applied. FIG. 13 is a diagram showing an example of a switching window 76. FIG. 6 is a diagram showing an example of a state in which dots 600 are arranged based on the closest approach time. 13 is a flowchart illustrating an example of the flow of a district analysis process. FIG. 13 is a diagram showing an example of color-coding for each district. FIG. 13 is a diagram showing an example of a tsunami setting window 75. FIG. 6 is a diagram showing an example of a flooded region 602. 13 is a flowchart illustrating an example of an overall processing flow of the evacuation analysis server 2. 13 is a flowchart illustrating an example of an overall processing flow of the evacuation analysis server 2. FIG. 6 is a diagram showing an example of a manner in which a mark 605 is arranged on a map 60.

[1. Overall structure]
Fig. 1 is a diagram showing an example of the overall configuration of a tsunami evacuation strategy study support system 1. Fig. 2 is a diagram showing an example of the hardware configuration of an evacuation analysis server 2.

The tsunami evacuation strategy review support system 1 shown in Figure 1 is a system that supports the review of strategies or policies for evacuation from tsunamis, and analyzes evacuation drill data from various perspectives and presents the information to the user.

The tsunami evacuation strategy review support system 1 is composed of an evacuation analysis server 2, one or more clients 3, multiple smartphones 4, and a communication line 10. The evacuation analysis server 2, each client 3, and each smartphone 4 can exchange data with each other via the communication line 10. The communication line 10 may be the Internet, a LAN (Local Area Network) line, a public line, or the like.

The evacuation analysis server 2 performs analysis related to evacuation and provides the results of the analysis to the client 3. A so-called server device or cloud server is used as the evacuation analysis server 2. The following describes an example in which a server device is used as the evacuation analysis server 2.

2, the evacuation analysis server 2 is composed of a computer main body 21, a display 22a, a keyboard 22b, a pointing device 22c, etc. The computer main body 21 is composed of a main processor 21a, a RAM (Random Access Memory) 21b, a ROM (Read Only Memory) 21c, an auxiliary storage device 21d, a network adapter 21e, an input/output interface 21f, and a graphics board 21g, etc.

The main processor 21a is a processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), and executes programs loaded into the RAM 21b.

In addition to the operating system, the analysis service providing program 20 (see FIG. 3) is installed in the ROM 21c or the auxiliary storage device 21d. The analysis service providing program 20 is loaded into the RAM 21b and executed by the main processor 21a. Other programs are also loaded into the RAM 21b as appropriate and executed by the main processor 21a. A hard disk drive (HDD) or a solid state drive (SSD) is used as the auxiliary storage device 21d. The analysis service providing program 20 will be described in detail later.

The network adapter 21e is a communication device such as a network interface card (NIC) for communicating with the client 3 and the smartphone 4 via the communication line 10. The input/output interface 21f is an input/output board that complies with standards such as Universal Serial Bus (USB), and is connected to the keyboard 22b and the pointing device 22c.

The graphics board 21g generates a video signal for displaying the screen and sends it to the display 22a. It is also called a "video board" or "video card." The display 22a is connected to the graphics board 21g and displays images based on the video signal from the graphics board 21g.

Based on the video signal, the display 22a displays a screen for inputting commands or information, a screen showing the results of processing performed by the main processor 21a, and the like.

The keyboard 22b and pointing device 22c are used to input commands or information.

Returning to FIG. 1, client 3 is a terminal device through which a user receives services such as analysis provided by the evacuation analysis server 2. Various users, such as disaster prevention personnel belonging to organizations such as government agencies or companies, researchers at academic institutions, and researchers at consulting companies, receive this service via client 3 in order to consider strategies or policies for evacuation from tsunamis. As client 3, a personal computer with a web browser installed, a tablet computer, or a smartphone is used.

The smartphone 4 is used to collect data on evacuation drills and transmit it to the evacuation analysis server 2. An evacuation drill application 40 (see FIG. 4) is installed on the smartphone 4. The evacuation drill application 40 will be described in detail later.

[2. Overview of the functional configuration of each part]
Fig. 3 is a diagram illustrating an example of the functional configuration of the evacuation analysis server 2. Fig. 4 is a diagram illustrating an example of the functional configuration of the smartphone 4.

According to the analysis service providing program 20, the functions of the main screen display unit 201, analysis data selection unit 202, district registration unit 203, mapping processing unit 204, progress update unit 205, reevaluation unit 206, item-specific analysis unit 207, filtering processing unit 208, district analysis unit 209, flooded area display unit 210, evacuation drill data storage unit 211, expected flood data storage unit 212, analysis data storage unit 213, and district range data storage unit 214 shown in FIG. 3 are realized in the evacuation analysis server 2.

According to the evacuation training application 40, the functions of the evacuation training evaluation unit 401, the log data generation unit 402, the training attribute data generation unit 403, the evacuation training data transmission unit 404, and the flood assumption data storage unit 411 shown in FIG. 4 are realized on the smartphone 4.

Below, we will explain the processing of each part of the evacuation analysis server 2, the client 3, and the smartphone 4 in order.

[3. Details of each part]
3.1 Sample Collection
Fig. 5 is a flowchart illustrating an example of the overall processing flow by the evacuation training application 40. Fig. 6 is a diagram showing examples of evacuation training data 53 and analysis data 54.

As described below, the analysis by the evacuation analysis server 2 is based on the results of evacuation drills conducted by various users (individuals). The results of the evacuation drills are acquired by the smartphone 4 and provided to the evacuation analysis server 2.

Here, we will explain the process for obtaining the results of an evacuation drill on the evacuation analysis server 2 and the smartphone 4, using an example in which a user 43 conducts an evacuation drill to evacuate from his or her home to an evacuation destination.

In the estimated flood data storage unit 411 of the smartphone 4, estimated flood data 50 for each of multiple estimated tsunamis is stored in advance as data for evacuation drills. Below, an example will be described in which estimated flood data 50 for each of a tsunami that occurs very rarely but is one of the largest in scale (L2 tsunami), a tsunami that is smaller in scale than an L2 tsunami but occurs relatively frequently (L1 tsunami), and a tsunami caused by an earthquake that occurs after a half-break earthquake (R tsunami) is stored. However, each time new estimated data on tsunami inundation is issued by the latest tsunami inundation simulation, that estimated data is stored as estimated flood data 50 in the estimated flood data storage unit 411. The same is true for the estimated flood data storage unit 212 described below.

The expected flooding data 50 indicates the height of the tsunami at each location or area for each specified time based on the time of occurrence of the earthquake. Below, we will explain an example in which the specified time is in one-minute increments, such as one minute, two minutes, three minutes, etc. after the occurrence time.

For example, the expected inundation data 50 for an L2 tsunami shows the height of an L2 tsunami in each location or area for each specified time, i.e., 1 minute, 2 minutes, 3 minutes, etc., after the occurrence of the earthquake.

In addition, the expected flooding data 50 can be used to estimate the time of arrival of the tsunami at each location or area. For example, if the expected flooding data 50 indicates that the height at a certain location will exceed 0 meters for the first time 18 minutes after the occurrence time, it can be assumed that the tsunami will arrive 18 minutes after the occurrence time.

Before starting the evacuation drill, the user 43 starts the evacuation drill application 40 on his/her smartphone 4. The user 43 designates the tsunami assumed in the current evacuation drill from the above three tsunamis as the assumed tsunami in the drill on the smartphone 4, and further inputs the time required from the occurrence time of the virtual earthquake related to the current evacuation drill to leaving his/her home as the preparation time Tp. In general, it is dangerous to leave immediately after the occurrence of an earthquake, and the golden rule is to escape as soon as the shaking has stopped. It is said that the continuous shaking of a large earthquake that is so strong that it is impossible to stand lasts for 2 to 3 minutes. Therefore, for example, about 3 minutes may be input as the preparation time Tp. However, each user has various circumstances, such as evacuating with a person who requires assistance, checking the safety of the fire, and preparing items to take to the evacuation destination. According to a survey on the Great East Japan Earthquake, it is said that it takes an average of about 15 to 20 minutes or more to leave. Therefore, the user 43 inputs the preparation time Tp in consideration of his/her own actual circumstances or the assumed scale of the earthquake. It is also advisable to practice multiple times, changing the preparation time Tp, assuming various cases. Below, we will explain an example in which the preparation time Tp is input in minutes.

Then, the user 43 inputs a start command into the smartphone 4, and leaves his/her home with the smartphone 4 to head to the evacuation destination. At this time, the user 43 mentally selects one of a number of evacuation locations (such as a specific high ground, a public facility, an evacuation tower, or a high-rise building) that have been designated and publicly known in advance by a local government or the like. Alternatively, as described below, the user 43 may flexibly select an evacuation location other than these.

Hereinafter, the time when the virtual earthquake occurs will be referred to as the "virtual earthquake occurrence time". The virtual earthquake occurrence time is "0 seconds". Since it is assumed that the user 43 will head to the evacuation destination when the preparation time Tp has elapsed from the virtual earthquake occurrence time, the time when the start command is input is the preparation time Tp ahead of the virtual earthquake occurrence time. In addition, the latitude and longitude, altitude, type, and name of each evacuation location are set in advance in the evacuation analysis server 2.

When a start command is input, the evacuation drill evaluation unit 401 performs an evaluation of the current evacuation drill, for example, according to the procedure shown in FIG. 5.

The evacuation training evaluation unit 401 evaluates the progress of the evacuation training of the user 43 periodically (Yes in #802) until the evacuation completion report described below is input (No in #801), as follows. In this embodiment, the evaluation is performed every minute.

The evacuation training evaluation unit 401 identifies the current location of the user 43, i.e., the current latitude and longitude of the smartphone 4 (#803). Furthermore, it estimates the time at which the training assumed tsunami specified before inputting the command will reach the current location based on the assumed inundation data 50 of the training assumed tsunami (#804). Hereinafter, in the explanation of the flowchart in FIG. 5, this time will be referred to as the "estimated arrival time". Furthermore, the evacuation training evaluation unit 401 calculates the approach time Tr by subtracting the current time from the estimated arrival time (#805).

If the approach time Tr is 0 or less, that is, if the current time has reached the expected arrival time (Yes in #806), it is considered that the training assumed tsunami has reached the current location, and the evacuation drill evaluation unit 401 evaluates it as "flooding" (#807). Both times are based on the time of the virtual earthquake occurrence. As will be described later, if it is evaluated as "flooding" even once, it will be treated as a failed evacuation, but in order to collect information for the simulation, the user 43 continues the evacuation drill until he or she reaches the evacuation destination.

Alternatively, if the approach time Tr is less than a predetermined positive time (e.g., 5 minutes) and is a positive value, i.e., if the tsunami is considered to be approaching before this predetermined time (No in #806, Yes in #808), the evacuation drill evaluation unit 401 evaluates it as "dangerous" (#809). On the other hand, if it is equal to or greater than this predetermined value (No in #806, No in #808), it evaluates it as "progressing smoothly" (#810).

When the user 43 arrives at the evacuation destination, the user taps a specific button to input an evacuation completion report into the smartphone 4. At this time, if the evacuation destination is a structure such as an evacuation tower or a building, the user also inputs which floor the user evacuated to. Note that the evacuation destination does not have to be the evacuation destination selected at the start of the training. The user 43 may change the evacuation destination as appropriate, taking into account the situation during the training. In other words, the evacuation end point or end location is the evacuation destination.

When the evacuation completion report is input (Yes in #801), the evacuation training evaluation unit 401 will comprehensively evaluate this evacuation training as follows:

The evacuation training evaluation unit 401 determines whether the training assumed tsunami will reach the evacuation destination within a predetermined time (e.g., 2 hours) from the time of the virtual earthquake occurrence based on the assumed inundation data 50 of the training assumed tsunami (#811). At this time, the height of the floor that is the evacuation destination is taken into consideration. That is, if the height of the floor is always higher than the height of the training assumed tsunami, it is determined that the training assumed tsunami will not reach the evacuation destination, and if the height of the training assumed tsunami sometimes exceeds the height of the floor, it is determined that it will reach the evacuation destination. The height of the floor may be calculated based on a formula such as 3 meters x (k-1), where "k" is the number of floors.

If it is determined that the training assumed tsunami will arrive (Yes in #812), the evacuation training evaluation unit 401 evaluates the training as a "failure" (#813).

Alternatively, if it is determined that the training tsunami will not arrive (No in #812), the evacuation drill evaluation unit 401 evaluates as follows: If all of the intermediate evaluation results are "smooth" (Yes in #814), evaluate as "success" (#815). Alternatively, if some of the intermediate evaluation results are "dangerous" and the rest are all "smooth" (No in #814, Yes in #816), evaluate as "narrow escape" (#817). Alternatively, if any of the intermediate evaluation results include "flooding" (No in #814, No in #816), evaluate as "failure" (#813).

Note that all or part of the processing by the evacuation drill evaluation unit 401 may be executed in the evacuation analysis server 2 instead of the smartphone 4. Alternatively, the flood assumption data storage unit 411 may not be provided in the smartphone 4, and the flood assumption data storage unit 212 of the evacuation analysis server 2 may be used. In this case, the smartphone 4 notifies the evacuation analysis server 2 of the latitude and longitude of its current location each time an evaluation is performed (every minute in this embodiment). The evacuation analysis server 2 then calculates the tsunami arrival time at which the training assumption tsunami will reach the notified current location based on the flood assumption data 50 stored in the flood assumption data storage unit 212, and replies to the smartphone 4. The smartphone 4 then performs the processing of steps #811 to #817 based on the returned tsunami arrival time.

Returning to FIG. 4, the log data generating unit 402 generates log data 51 when the processing by the evacuation drill evaluation unit 401 is completed. As shown in FIG. 6, the log data 51 indicates the virtual earthquake occurrence time, the movement start time (i.e., the time when the preparation time Tp has elapsed from the virtual earthquake occurrence time), the position of the user 43 at each predetermined time after the movement start, the approach time Tr, the evaluation result of the progress, the preparation time Tp, the overall evaluation result, the assumed tsunami designated this time, the implementation area where this evacuation drill was carried out, the implementation date and time when this evacuation drill was carried out, and the closest approach time. The implementation date and time can be obtained from the operating system of the smartphone 4. The implementation area can be specified based on the initial position of the user 43. Below, an example will be described in which the unit of area is a city, ward, town, or village. The closest approach time is the smallest value of the approach times Tr calculated for each predetermined time.

During the evacuation drill, the display of smartphone 4 displays the evaluation results of the progress, a map showing the current location of user 43 and the surrounding area, and the path from the starting point (in this example, the user's home) to the current location. After the evacuation drill is completed, the overall evaluation result is displayed.

The log data generation unit 402 may be realized by an existing application. For example, it may be realized by the application "Nigetore" (https://nigetore.jp/) developed by the "Nigetore" development team of the Yamori Laboratory at the Disaster Prevention Research Institute, Kyoto University. In this case, this application can be expanded so that it can evaluate the progress as described above for each of the three tsunamis.

The training attribute data generation unit 403 generates attribute data 52 indicating the attributes of the current evacuation training, as shown in Figure 6, for example, as follows.

The training attribute data generating unit 403 displays a predetermined input screen on the touch panel display, and has the user 43 input information about the user 43, such as the user's age, sex, departure location, evacuation site to which the user is to evacuate, whether assistance is required in daily life, whether assistance is required during evacuation, whether the user is accompanied by someone, whether the user has participated in a public evacuation drill, and whether the user moves while looking at the smartphone 4. Furthermore, the user 43 is prompted to input the weather and time of day at home during the evacuation drill as information about the environment during the evacuation drill. The "time of day" may refer to whether the sun is out or not, i.e., either "daytime" or "nighttime". However, the user 43 inputs one of multiple evacuation sites designated by a local government or the like as the evacuation destination. However, if the user is forced to evacuate to another location, the name and type of the location are input.

In addition, instead of having the user 43 input some of these pieces of information, the training attribute data generating unit 403 may obtain them from an existing system, such as a resident basic register network system (so-called Juki Net) or a system of an Internet-related service (for example, Google, Yahoo, or Facebook). The current weather may be obtained from a system that distributes weather information, and the current time zone may be obtained from the operating system of the smartphone 4. If the time zone is either "daytime" or "nighttime", it may be specified based on the current time and the sunrise and sunset times of the day. The evacuation site that is the evacuation destination may be specified based on the position information of the smartphone 4 at the time the evacuation completion report is input. For example, the evacuation site closest to the position of the smartphone 4 may be specified as the evacuation destination. However, if the distance between the position of the smartphone 4 and the nearest evacuation site is equal to or greater than a predetermined distance, there is a possibility that the evacuation site is an undesignated evacuation site. In that case, the name and type of the evacuation site are input by the user 43.

This information may be entered after the evacuation drill has finished or before it begins.

The evacuation drill data transmission unit 404 transmits data including the log data 51 and the attribute data 52 to the evacuation analysis server 2 as evacuation drill data 53.

Then, in the evacuation analysis server 2, the evacuation drill data storage unit 211 acquires and stores the evacuation drill data 53.

Various users carry out evacuation drills as described above, and each time the evacuation analysis server 2 and each user's smartphone 4 carry out the above-mentioned processing, a large number of sample evacuation drill data 53 are accumulated in the evacuation drill data storage unit 211.

3.2 Preparation for analysis
Fig. 7 is a diagram showing an example of the main screen 6. Fig. 8 is a diagram showing examples of a target setting window 71 and a general setting window 73. Fig. 9 is a diagram showing an example of a district selection screen 69.

The flooding assumption data storage unit 212 (see FIG. 3) stores in advance flooding assumption data 50 for each of the L2 tsunami, L1 tsunami, and R tsunami, similar to the flooding assumption data storage unit 411 (see FIG. 4) of the smartphone 4.

The evacuation analysis server 2 has two modes for analyzing evacuations: actual situation mode and simulation mode. The "actual situation mode" is a mode that analyzes the success or failure of an evacuation based on samples of actual evacuation drills as described above. On the other hand, the "simulation mode" is a mode that rewrites samples of evacuation drills according to specified conditions to simulate an evacuation drill, and analyzes the success or failure of an evacuation based on the results. The default mode is actual situation mode.

Regardless of which mode you use, the preparatory tasks and processes are as follows:

An operator 33 in charge of disaster prevention starts a web browser on the client 3 in advance. Then, the operator specifies a specific URL (Uniform Resource Locator) of the evacuation analysis server 2.

Then, the main screen display unit 201 displays the main screen 6 as shown in FIG. 7 on the display of the client 3. The main screen 6 is the main web page of the analysis service.

The main screen display unit 201 distributes the HTML (Hypertext Markup Language) file, CSS (Cascading Style Sheets) file, image files, etc. of the main screen 6 to the client 3, and the web browser of the client 3 displays the main screen 6 on the display based on these files. Other web pages, which will be described later, are also displayed using a similar mechanism.

The main screen 6 is composed of a map 60 and, arranged above the map 60, a target setting button 61, a sample number indicator 62, a general settings button 63, a simulation button 64, a flooded area button 65, a switch button 66, a zoom in button 67a, a zoom out button 67b, and multiple item buttons 68.

The operator 33 can set various conditions in the evacuation analysis server 2 and cause the evacuation analysis server 2 to execute various processes by operating each object from the target setting button 61 to the item button 68. In addition, these objects can be moved to any position on the map 60 by dragging and dropping them.

By default, a pure white image is displayed as map 60. Alternatively, the map that was previously displayed as map 60 may be displayed, or a map of all of Japan may be displayed. Map 60 also shows the location of each evacuation site (evacuation sites designated by local governments, etc.) as a mark 604.

The analysis data selection unit 202 selects the evacuation drill data 53 (see FIG. 6) to be used this time from the evacuation drill data storage unit 211, for example, as follows:

When the target setting button 61 is clicked, the analysis data selection unit 202 places a target setting window 71 as shown in FIG. 8 (A) on the map 60 in place of the target setting button 61.

Here, the operator 33 selects the region (in this embodiment, city, ward, town, or village), period, and tsunami to be analyzed as follows: When the region list box 71a is clicked, a list of regions is displayed in a pull-down menu. The operator 33 selects the region to be analyzed from the list. When the start box 71b is clicked, a calendar is displayed, and the operator 33 selects the start (start date) of the period to be analyzed from the calendar. Similarly, when the period box 71c is clicked, a calendar is displayed, and the operator 33 selects the end (end date) of the period. This selects the period. Alternatively, the start and end dates may be entered directly from the keyboard. Furthermore, the tsunami to be analyzed is selected by clicking the corresponding radio button in the radio button group 72d. Then, the setting button 71e is clicked. Hereinafter, the selected region is described as the "target region", the selected period is described as the "target period", and the selected tsunami is described as the "target tsunami".

Then, the analysis data selection unit 202 selects, from the evacuation drill data 53 stored in the evacuation drill data storage unit 211, data whose implementation date and time fall within the target period, whose assumed tsunami for the drill matches the target tsunami, and whose implementation area falls within the target area. Then, a copy of the selected evacuation drill data 53 is stored in the analysis data storage unit 213 as analysis data 54. Furthermore, a map of the target area is placed on the main screen 6 as map 60, and the sample number indicator 62 is updated to indicate the total number of analysis data 54.

Also, when the setting button 71e is clicked and then the "<" button in the upper right corner of the target setting window 71 is clicked, the target setting window 71 is closed and the target setting button 61 is placed on the main screen 6 again, as shown in FIG. 7.

Note that there may be cases where only a portion of the map 60, i.e., the target area, appears on the main screen 6. In such cases, the operator 33 can check the entire map 60 or other portions by reducing the size of the map 60 using the zoom out button 67b, or by dragging the map 60 to change its position relative to the main screen 6. The map 60 can also be enlarged using the zoom in button 67a.

The district registration unit 203 executes the process of dividing the target area into multiple districts and registering them, for example, as follows:

When the General Settings button 63 is clicked, the district registration unit 203 places a general settings window 73 as shown in FIG. 8 (B) on the map 60 in place of the general settings button 63. When the New button 73a is clicked in the general settings window 73, a district selection screen 69 as shown in FIG. 9 is displayed on the display of the client 3 in place of the main screen 6.

The district selection screen 69 is a web page that includes a map 691, a group of drawing tool buttons 692 arranged above the map 691, a sample display switch 693, and a done button 694.

Map 691, like map 60, is a map of the target area. Drawing tool button group 692 has multiple buttons that call up tools such as a line drawing tool, a line selection tool, and a line moving tool. Using these tools, operator 33 specifies the range of each of multiple districts in the target area. In FIG. 9, the range of each of the four districts is shown with a thick line.

When the operator 33 has finished specifying the range of each district, he/she clicks the Done button 694. The district registration unit 203 then displays a dialog box having a text box and a Done button on the display of the client 3. The operator 33 enters the name of the current division method in the text box and clicks the Done button.

Then, the district registration unit 203 generates district range data 55 indicating the input name, the specified range of each district, and the identifier of the target area, and stores it in the district range data storage unit 214.

If the mapping process described below has already been performed, when the operator 33 switches the sample display switch 693 on, the dots for each sample are placed on the map 691 based on the results of the most recent mapping process.

When the Done button in the dialog box is clicked, the district selection screen 69 and the dialog box are closed. The main screen 6 is then displayed again with the general settings window 73 (see FIG. 8(B)) positioned. At this time, the name entered in the text box in the dialog box is added to the division list 73b of the general settings window 73.

The operator 33 can register multiple ways of dividing the target area. For example, the area may be divided by address blocks defined by the local government, by neighborhood associations, by areas with topographical characteristics (coasts, riverbanks, depressions, hills, etc.), or by distance from evacuation destinations. For each division method, district range data 55 is generated by the above-mentioned method and stored in the district range data storage unit 214.

The district registration unit 203 also has a function for changing the division method and the name, and a function for importing district range data 55 from another computer or recording medium. Note that district range data 55 relating to at least one of the above examples may be prepared by default in the district registration unit 203 for each region (city, ward, town, or village).

When the Apply button 73c is clicked, the general settings window 73 closes and the general settings button 63 is placed on the main screen 6 again, as shown in Figure 7.

The general settings window 73 is also used to set things other than dividing the target area. This will be explained in due course.

3.3 Actual Mode
Fig. 10 is a diagram showing an example of how dots 600 are arranged on the main screen 6. Fig. 11 is a diagram showing an example of an individual information window 601.

Based on the analysis data 54 for each sample of the evacuation drill, the mapping processing unit 204 arranges the dots of each sample as dots 600 on the map 60 as follows. Hereinafter, the process of arranging the dots 600 on the map 60 in this manner will be referred to as the "mapping process."

When the simulation mode is set, the analysis data 54 is rewritten according to the conditions specified by the operator 33, as described below, and then the mapping process is executed. On the other hand, when the actual situation mode is set, the analysis data 54 is executed as a general rule without being rewritten.

In the actual mode, the mapping processing unit 204 arbitrarily selects one piece of analysis data 54 from the analysis data storage unit 213. The position at the time of the virtual earthquake occurrence (i.e., the position when the time is "0") shown in the log data 51 (see FIG. 6) included in the selected analysis data 54 is identified from the map 60 on the main screen 6. For example, if the longitude and latitude of (X_0, Y_0) are shown as the position at the time of the virtual earthquake occurrence, the position of this longitude and latitude on the map 60 is identified.

Then, the mapping processing unit 204 places dots 600 at the specified positions in the map 60, as shown in FIG. 10. At this time, if the overall evaluation result shown in the log data 51 is "success", the dots 600 are colored green, if it is "narrow escape", they are colored yellow, and if it is "failure", they are colored red. Alternatively, the evaluation results may be distinguished by the shape of the dots. For example, a circular dot may be used for "success", an equilateral triangular dot may be used for "narrow escape", and a square dot may be used for "failure". Due to space limitations, in FIG. 10, only a few representative dots 600 out of all the dots 600 are labeled. The same applies to the other drawings.

The mapping processing unit 204 uses the same method to place dots 600 on the map 60 in a manner that corresponds to the overall evaluation result for the remaining analysis data 54 stored in the analysis data storage unit 213.

As a result, dots 600 corresponding to each piece of analysis data 54 are placed on the map 60. In other words, the mapping processing unit 204 displays on the map 60 the positions of the starting points of each user in the target area and the overall evaluation results of the evacuation drills.

When the operator 33 clicks on any of the dots 600, the mapping processing unit 204 displays information about the sample corresponding to the clicked dot 600. Specifically, all or part of the information shown in the log data 51 and attribute data 52 of the analysis data 54 of that sample is displayed as a pop-up on the map 60 as an individual information window 601 as shown in FIG. 11. The travel distance is the total distance between the positions at two adjacent times, and the walking speed is the total distance divided by the evacuation time (the time from the start of evacuation to arrival at the evacuation destination). In FIG. 11, the walking speed is expressed in minutes, but it may be in seconds or hours. However, since the progress is evaluated in minutes, the speed per minute is easy for the operator 33 to understand.

As described above, the actual state mode is set as the default, so when the target area is selected in the target setting window 71 (see FIG. 8(A)) and the setting button 71e is clicked, the mapping processing unit 204 executes mapping processing in the actual state mode.

Boundaries (e.g., dotted or dashed lines) representing the extent of each district in the target area may also be placed on the map 60. The same is true in the simulation mode.

The operator 33 can also adjust the size of the dot 600 using the group of radio buttons 73d in the general settings window 73 (see FIG. 8(B)). The mapping processing unit 204 places the dot 600 on the map 60 at the size specified in the group of radio buttons 73d.

3.4 Simulation Mode
Fig. 12 is a diagram showing an example of a condition change screen 74. Fig. 13 is a flowchart explaining an example of the flow of a log change process. Fig. 14 is a diagram showing an example of the transition of the log data 51. Fig. 15 is a flowchart explaining an example of the flow of a re-evaluation process.

The mapping process in the simulation mode is generally performed according to the following procedure. The progress update unit 205 updates the sample information based on the conditions specified by the operator 33, and the re-evaluation unit 206 evaluates the sample. Then, the mapping processing unit 204 performs the mapping process based on the results of the evaluation. Specifically, it is as follows.

The operator 33 clicks the simulation button 64 on the main screen 6. The progress update unit 205 then places a condition change screen 74 as shown in FIG. 12 on the map 60 in place of the simulation button 64.

Here, the operator 33 specifies the conditions for the simulation. If the operator wishes to specify the tsunami to be simulated from among the L2 tsunami, L1 tsunami, and R tsunami, he or she turns on the check box 74a and clicks the corresponding radio button from the group of radio buttons 74b.

Alternatively, if the operator 33 wishes to specify a uniform preparation time Tp, he or she turns on both the check box 74c and the radio button 74d, and inputs the time to be set as preparation time Tp in the text box 74e. Alternatively, if the operator wishes to increase or decrease preparation time Tp by a uniform amount, he or she turns on both the check box 74c and the radio button 74f, and inputs the amount of time to be increased or decreased in the text box 74e. For example, if the operator wishes to increase preparation time Tp by 5 minutes, he or she inputs "5", and if the operator wishes to decrease preparation time Tp by 7 minutes, he or she inputs "-7".

Alternatively, if the operator 33 changes the evacuation speed (the speed of movement during an evacuation drill) and performs a simulation, he or she turns on check box 74g. Then, if the operator 33 wants to specify an evacuation speed that is 0.8 times that of an actual evacuation drill, he or she turns on radio button 74h. If the operator wants to specify an evacuation speed that is 0.5 times that of an actual evacuation drill, he or she turns on radio button 74i. If the operator wants to specify the walking speed of an elderly person, he or she turns on radio button 74j.

When the done button 74k is clicked, the condition change screen 74 is closed and the simulation button 64 is placed on the main screen 6 again, as shown in FIG. 7.

The progress update unit 205 rewrites each analysis data 54 (see FIG. 6) stored in the analysis data storage unit 213 based on the conditions specified on the condition change screen 74. Here, the process of rewriting the analysis data 54 will be explained with reference to the flowchart shown in FIG. 13 and the example of the transition shown in FIG. 14.

When standardization of preparation time Tp is specified, that is, when check box 74c and radio button 74d are turned on and time is entered in text box 74e on condition change screen 74 in FIG. 12 (Yes in #821 in FIG. 13), progress update unit 205 updates log data 51 for each analysis data 54 so that the entered time is shown as preparation time (#822).

Alternatively, if it is specified that the preparation time Tp should be increased or decreased uniformly, i.e., if the check box 74c and radio button 74f are on and a time is entered in the text box 74e (No in #821, Yes in #823), the progress update unit 205 updates each log data 51 so that this entered time is added to each time other than the preparation time and the virtual earthquake occurrence time (#824). Specifically, if a positive value is entered, the preparation time and each time other than the virtual earthquake occurrence time are increased by that value, and if a negative value is entered, the absolute value is decreased.

For example, when a certain piece of log data 51 has contents as shown in FIG. 14(A) and it is specified that the preparation time Tp should be increased by "3 minutes", the progress update unit 205 updates the preparation time shown in the log data 51 from "5 minutes" to "8 minutes" as shown in FIG. 14(B), and updates each of the times "5 minutes", "6 minutes", ..., "17 minutes" to "8 minutes", "9 minutes", ..., "20 minutes".

Also, if 0.8 times the speed during the actual evacuation drill is specified as the evacuation speed (Yes in #825), the progress update unit 205 updates each log data 51 so that it moves at 0.8 times the actual speed (#826). Specifically, the i-th time T_i shown in each log data 51 is updated to Tp + (T_i - Tp) x (1/0.8), where i = 3, 4, 5, .... Alternatively, if 0.5 times is specified (No in #825, Yes in #827), each log data 51 is updated so that it moves at 0.5 times the actual speed (#828). Specifically, each time T_i shown in each log data 51 is updated to Tp + (T_i - Tp) x (1/0.5).

Alternatively, if the walking speed of the elderly person is specified (No in #825, No in #827, Yes in #829), the progress update unit 205 updates each log data 51 so that the elderly person moves at a typical walking speed P (e.g., 1 meter per second) (#830).

例えば、あるログデータ５１が図１４（Ｂ）のような内容である場合において、避難速度として０．５倍が指定された場合は、経過更新部２０５は、そのログデータ５１に示される３番目以降の時刻を(８＋(９－８)×(１／０．５))分、(８＋(１０－８)×(１／０．５))分、…、(８＋(２０－８)×(１／０．５))分、つまり、図１４（Ｃ）のように「１０分」、「１２分」、…、「３２分」に更新する。 Specifically, the progress update unit 205 calculates the distance Li traveled between the (i-1)th time and the i-th time based on the position at each time. Alternatively, the position may be measured in advance at shorter time intervals (for example, 10 second intervals) using a GPS (Global Positioning System) function, and the distance Li may be calculated based on the measurement results. The time Mi required to travel the distance Li, that is, Mi=Li/P, is calculated. Then, each log data 51 is updated so that the i-th time becomes T'i in the following formula (1).

For example, in the case where certain log data 51 has the content as shown in FIG. 14(B) and 0.5 times has been specified as the evacuation speed, the progress update unit 205 updates the third and subsequent times shown in the log data 51 to (8+(9-8)×(1/0.5)) minutes, (8+(10-8)×(1/0.5)) minutes, ..., (8+(20-8)×(1/0.5)) minutes, that is, to "10 minutes", "12 minutes", ..., "32 minutes" as shown in FIG. 14(C).

In addition, if any of the L2 tsunami, L1 tsunami, and R tsunami is designated as the expected tsunami (Yes in #831), the progress update unit 205 updates the training expected tsunami shown in each log data 51 to the designated tsunami (#832).

The re-evaluation unit 206 performs an evaluation of the progress of each sample at each time and an overall evaluation based on each log data 51 updated by the progress update unit 205. The evaluation mechanism is basically the same as the evaluation mechanism by the log data generation unit 402 of the smartphone 4 (see FIG. 4), as shown in FIG. 15.

That is, the re-evaluation unit 206 estimates the time when the training assumed tsunami shown in each log data 51 will reach the uth (u=1, 2, ...) position of each log data 51 based on the assumed inundation data 50 of that training assumed tsunami (#842 in FIG. 15). Hereinafter, in the explanation of the flowchart in FIG. 15, this time will be referred to as the "estimated arrival time". Furthermore, the re-evaluation unit 206 calculates the approach time Tc by subtracting the uth time from the estimated arrival time at the uth position (#843).

If the approach time Tc is 0 or less, that is, if the uth time has reached the expected arrival time of the uth position (Yes in #844), the re-evaluation unit 206 evaluates the uth progress as "flooded" (#845). If the approach time Tc is less than a predetermined time (e.g., 5 minutes) and is a positive value (No in #844, Yes in #846), it is evaluated as "dangerous" (#847). If it is equal to or greater than the predetermined value (No in #844, No in #846), it is evaluated as "progressing smoothly" (#848).

After evaluating the progress for all times shown in the log data 51, the re-evaluation unit 206 performs an overall evaluation as follows:

The re-evaluation unit 206 determines whether the training tsunami will reach the evacuation destination within a predetermined time (e.g., 2 hours) from the time of the virtual earthquake occurrence based on the training tsunami inundation assumption data 50 (#851). As explained in FIG. 5, the height of the floor that is the evacuation destination is also taken into consideration at this time. Then, if it is determined that the training tsunami will reach the destination (Yes in #852), it is evaluated as a "failure" (#853).

If not (No in #852), the re-evaluation unit 206 performs an overall evaluation based on the intermediate evaluation results (#854 to #857, #853). The evaluation process is the same as the process described in #814 to #817 and #813 in FIG. 5.

Then, the re-evaluation unit 206 updates each log data 51 so that the results of the progress and overall evaluation are indicated (#858). At this time, each log data 51 is updated so that the minimum value of the approach times Tc at each time is indicated as the closest approach time. As a result, for example, a certain log data 51 is updated from the state shown in FIG. 14(C) to the state shown in FIG. 14(D).

By the above processing, the log data 51 for each of the analysis data 54 stored in the analysis data storage unit 213 is updated according to the conditions specified by the operator 33.

The mapping processing unit 204 performs mapping processing based on these pieces of analysis data 54. The method of mapping processing is the same as the method in the actual mode described above, except that updated log data 51 is used.

3.5 Displaying charts by item
Fig. 16 is a diagram showing examples of chart screens 78a to 78d. Fig. 17 is a diagram showing examples of chart screens 78e to 78h. Fig. 18 is a diagram showing examples of chart screens 78i to 78n. Fig. 19 is a diagram showing an example of a state in which a plurality of chart screens 78 are opened on the main screen 6.

The operator 33 can have the evacuation analysis server 2 analyze the overall evaluation results obtained in the actual situation mode or simulation mode for each item, and can check the analysis results using charts.

The item-specific analysis unit 207 (see FIG. 3) performs the analysis of the sample as follows, based on the analysis data 54 (see FIG. 6) stored in the analysis data storage unit 213, and in accordance with the item button 68 clicked by the operator 33 on the main screen 6 (see FIG. 7).

When the item button 68a is clicked, the item-specific analysis unit 207 tally up the overall evaluation results. That is, based on the evaluation results (overall) shown in the log data 51 of the analysis data 54 for each sample, the number of samples with an overall evaluation result of "success", "narrow escape", and "failure" is counted, and the proportion of each number in the total is calculated. Then, a chart screen 78a as shown in FIG. 16(A) showing the number and proportion of each of "success", "narrow escape", and "failure" is placed on the map 60 in place of the item button 68a.

When the button in the upper left of the chart screen 78a is clicked, the chart screen 78a closes and the item button 68a is displayed again. The same is true for the other item buttons 68 and other chart screens 78. That is, when an item button 68 is clicked, the corresponding chart screen 78 is displayed instead, and when the chart screen 78 is closed, the corresponding item button 68 is displayed again.

Alternatively, when the item button 68b is clicked, the item-specific analysis unit 207 tallies the closest approach times. For example, based on the closest approach times shown in the log data 51 of the analysis data 54 for each sample, it counts the number of samples whose closest approach times fall within the range of "up to 4 minutes," "5 to 9 minutes," ..., "30 to 34 minutes," and "35 minutes or longer." Then, a chart screen 78b showing the number of each type is placed on the map 60, as shown in FIG. 16(B).

Alternatively, when the item button 68c is clicked, the item-specific analysis unit 207 tallies the evacuation time. Here, the "evacuation time" is the time from the virtual earthquake occurrence time to arrival at the evacuation destination (the last time shown in the log data 51 of the analysis data 54). For example, based on the last time shown in the log data 51 of the analysis data 54 for each sample, the number of samples whose evacuation time falls within the range of "0 to 4 minutes", the range of "5 to 9 minutes", ..., the range of "30 to 34 minutes", and the range of "35 minutes or more" is counted. Then, a chart screen 78c showing the number of each case, as shown in FIG. 16(C), is placed on the map 60.

Alternatively, when the item button 68d is clicked, the item-specific analysis unit 207 tallies the preparation times. For example, based on the preparation times shown in the log data 51 of the analysis data 54 for each sample, the number of samples with preparation times of "1 minute or less", "2 minutes", ..., "7 minutes", and "8 minutes or more" is counted. Then, a chart screen 78d showing the number of each type is placed on the map 60, as shown in FIG. 16 (D).

Alternatively, when the item button 68e is clicked, the item-specific analysis unit 207 tallies up the ages. For example, based on the ages indicated in the attribute data 52 of the analysis data 54 for each sample, the number of samples corresponding to the ages "10 years or younger", "11-20 years old", ..., "61-70 years old", and "71 years old or older" is counted. Then, a chart screen 78e showing the number of each type, as shown in FIG. 17(A), is placed on the map 60.

Alternatively, when the item button 68f is clicked, the item-specific analysis unit 207 tallies the evacuation speed. For example, based on the movement history shown in the log data 51 of the analysis data 54 of each sample, the movement distance and movement time from the start of movement to arriving at the evacuation destination are calculated for each sample. The evacuation speed is then calculated by dividing the movement distance by the movement time. Hereinafter, calculations are made to one decimal place. Furthermore, the item-specific analysis unit 207 counts the number of samples with evacuation speeds of "0.9 kilometers per second or less," "1.0 to 1.9 kilometers per second," ..., "6.0 to 6.9 kilometers per second," and "7.0 kilometers per second or more." Then, a chart screen 78f showing the number of each is placed on the map 60, as shown in FIG. 17(B).

Alternatively, when the item button 68g is clicked, the item-specific analysis unit 207 tallies the departure locations. For example, based on the departure locations shown in the attribute data 52 of the analysis data 54 for each sample, it counts the number of samples whose departure location is "home," "workplace," "school," and other than these three, i.e., "other." Then, a chart screen 78g showing the number of each is placed on the map 60, as shown in FIG. 17(C).

Alternatively, when an item button 68h is clicked, the item-specific analysis unit 207 tallies the implementation times. For example, based on the implementation time (time of day within the implementation date and time) indicated in the attribute data 52 of the analysis data 54 for each sample, the number of samples whose implementation time falls within the range of "12:00 to 3:00", "4:00 to 7:00", ... and "20:00 to 23:00" is counted. Then, a chart screen 78h showing the respective numbers is placed on the map 60, as shown in FIG. 17(D).

Alternatively, when the item button 68i is clicked, the item-specific analysis unit 207 tabulates the gender. For example, based on the gender indicated in the attribute data 52 of the analysis data 54 for each sample, the number of samples whose gender is "male" and the number of samples whose gender is "female" are counted, and the respective percentages of the number of males and the number of females to the total are calculated. Then, a chart screen 78i showing the respective percentages, as shown in FIG. 18 (A), is placed on the map 60. Note that the number of males and females may also be shown on the chart screen 78i together with the percentages.

Alternatively, when the item button 68j is clicked, the item-specific analysis unit 207 tallies the evacuation destinations. For example, based on the evacuation destinations indicated in the attribute data 52 of the analysis data 54 for each sample, the number of samples whose evacuation destination is an "evacuation tower", whose evacuation building is an "evacuation plaza", whose evacuation destination is a building other than an evacuation tower or evacuation building, i.e., "indoors other than the above", and whose evacuation destination is an outdoor location other than an evacuation plaza, i.e., "outdoors other than the above", is counted. Then, a chart screen 78j showing the number of each of the samples, as shown in FIG. 18(B), is placed on the map 60. The tallying may be done by type of evacuation location, or by individual evacuation location, such as "XX junior high school", "XX community center", or "XX evacuation tower".

Alternatively, when the item button 68k is clicked, the item-specific analysis unit 207 tallies whether or not the evacuation drill was performed while looking at a smartphone. For example, based on the item "while looking at a smartphone" shown in the attribute data 52 of the analysis data 54 of each sample, the number of samples whose value for this item is "Yes" and the number whose value is "No" are counted, and the respective percentages of the number of "Yes" cases and the number of "No" cases to the total are calculated. Then, a chart screen 78k showing the respective percentages of "Yes" and "No" cases as shown in FIG. 18(C) is placed on the map 60. Note that the respective numbers of "Yes" and "No" cases may be shown on the chart screen 78k together with the percentages.

Alternatively, when the item button 68m is clicked, the item-specific analysis unit 207 tallies the means of transportation. For example, based on the means of transportation indicated in the attribute data 52 of the analysis data 54 for each sample, the number of samples whose means of transportation is "walking," "bicycle," "motorcycle," "car," "wheelchair," and "silver cart" is counted. Then, a chart screen 78m showing the number of each type is placed on the map 60, as shown in FIG. 18 (D).

Alternatively, when an item button 68n is clicked, the item-specific analysis unit 207 tallies the travel distance. For example, the travel distance of each sample is calculated based on the position at each time indicated in the attribute data 52 of the analysis data 54 of each sample. Hereinafter, calculations are made to one decimal place. Furthermore, the item-specific analysis unit 207 counts the number of samples whose travel distance falls into the range of "1.0 kilometer or less", "1.1 to 2.0 kilometers", ..., "7.1 to 8.0 kilometers", and "8.1 kilometers or more". Then, a chart screen 78n showing the number of each type is placed on the map 60, as shown in FIG. 18(E).

As shown in FIG. 19, the operator 33 can open multiple chart screens 78 at the same time. When a chart screen 78 is opened, the item buttons 68 and the chart screen 78 may not fit on the main screen 6. In such a case, the operator 33 can scroll them to display them one part at a time.

3.6 Filtering
Fig. 20 is a diagram showing an example of a state in which an element of interest is selected on the chart screen 78. Fig. 21 is a diagram showing an example of a state of the main screen 6 when filtering is applied.

As shown in the examples of Figures 16 to 18, the operator 33 can have the evacuation analysis server 2 analyze the information about the sample for each item and check the analysis results as a chart. The operator 33 can also have the evacuation analysis server 2 filter and check the overall evaluation results in the actual situation mode or simulation mode for each breakdown of each item, as follows:

Each chart screen 78 in Figures 16 to 18 is provided with one filter button 781. The operator 33 clicks the filter button 781. The filter button 781 is then replaced with an apply button. The operator 33 selects one or more of the following as focus elements: any bar in a bar graph, any sector in a pie chart, or any rectangle in a bar graph arranged on the chart screen 78, and clicks the apply button.

The filtering processing unit 208 then selects analysis data 54 corresponding to each selected element of interest (bar, sector, or rectangle) from the analysis data storage unit 213.

Then, the mapping processing unit 204 performs mapping processing based on the selected analysis data 54. As a result, the sample dots 600 corresponding to the selected analysis data 54 are placed on the map 60 of the main screen 6 (see FIG. 7), and the main screen 6 is updated so that no other dots 600 are placed.

For example, when the filter button 781 is turned on in the chart screen 78e and then the bars for "11-20 years old" and "21-30 years old" are selected from the bar graph in the chart screen 78e as shown in FIG. 20(A), the filtering processing unit 208 selects the analysis data 54 that indicates an age value that belongs to the range of "11-20 years old" or the range of "21-30 years old". The mapping processing unit 204 then performs mapping processing based on the selected analysis data 54.

The operator 33 can also perform filtering using multiple chart screens 78.

For example, the operator 33 turns on the filter button 781 on the chart screen 78e, and then selects the bars for "11-20 years old" and "21-30 years old" as shown in FIG. 20(A), and then turns on the filter button 781 on the chart screen 78m, and then selects the bars for "walking" and "bicycle" as shown in FIG. 20(B). The filtering processing unit 208 then selects analysis data 54 that shows values in the range of "11-20 years old" or "21-30 years old" as ages and shows "walking" or "bicycle" as a means of transportation. The mapping processing unit 204 then performs mapping processing based on the selected analysis data 54.

When an element of interest is selected and filtering is performed on a chart screen 78, the item-specific analysis unit 207 displays another chart screen 78 based on the analysis results of the filtered sample. For example, if the "home" bar is selected as an element of interest on chart screen 78g and the operator 33 performs an operation to open chart screen 78e, the item-specific analysis unit 207 performs an analysis based only on the analysis data 54 of the sample whose departure location is "home" among the analysis data 54 stored in the analysis data storage unit 213, and displays chart screen 78e.

Furthermore, when a mark 604 is clicked, the filtering processing unit 208 updates the main screen 6 so that, as shown in FIG. 21, the dots 600 of the samples whose evacuation destination is the evacuation site corresponding to the mark 604 are placed on the map 60, and no other dots 600 are placed. In other words, the samples that have evacuated to that evacuation site are filtered. Then, the sample number indicator 62 is updated so that the number of samples that have evacuated to that evacuation site, as well as the name and altitude of that evacuation site, are displayed. After filtering, the chart screen 78 is displayed in the manner described above, and the analysis results for the filtered samples are displayed on the chart screen 78.

3.7 Switching distribution targets and analysis by region
Fig. 22 is a diagram showing an example of the switching window 76. Fig. 23 is a diagram showing an example of the state in which dots 600 are arranged based on the closest approach time.

As described above, dots 600 representing the overall evaluation results of the evacuation drill are placed on the map 60 of the main screen 6 (see FIG. 7), but the operator 33 can place dots relating to other matters.

When the operator 33 clicks the switching button 66 on the main screen 6 (see FIG. 7), the district analysis unit 209 places a switching window 76 as shown in FIG. 22 on the main screen 6 in place of the switching button 66.

Buttons 76a, 76b, and 76c are selectable from three options, with button 76a selected by default. Button 76a is a button for selecting the overall evaluation results of the evacuation drill. Button 76b is a button for selecting the expected closest approach time of the tsunami. Button 76c is a button for selecting the evacuation time.

When the operator 33 selects button 76b, the mapping processing unit 204 classifies the samples corresponding to each of the analysis data 54 stored in the analysis data storage unit 213 based on the closest approach time indicated in each log data 51. For example, each sample is classified into one of five ranges, "0 minutes or less," "0 to 4 minutes," "5 to 14 minutes," "15 to 19 minutes," and "20 minutes or more," according to the range in which the closest approach time falls. Then, as shown in FIG. 23, a dot 600 for each sample is placed on the map 60 in a manner that corresponds to the range into which it is classified.

Alternatively, when the operator 33 selects button 76c, the mapping processing unit 204 classifies the samples corresponding to each of the analysis data 54 stored in the analysis data storage unit 213 based on the evacuation time indicated in each log data 51. For example, each sample is classified into the range to which the evacuation time falls among the eight ranges shown in FIG. 16(C). Then, as the dots 600 for each sample, dots of a type corresponding to the range into which it is classified are placed on the map 60.

After that, when the operator 33 selects the button 76a, the mapping processing unit 204 again places dots 600 on the map 60, representing the overall evaluation results of each user who performed the evacuation drill, using the method described above.

[3.8 Analysis by district within the target area]
Fig. 24 is a flowchart illustrating an example of the flow of a district analysis process, and Fig. 25 is a diagram showing an example of color-coding for each district.

The operator 33 can have the evacuation analysis server 2 perform an analysis of each district within the target area as follows:

When the operator 33 clicks on the check box 76g in the switching window 76 (see FIG. 22), the district analysis unit 209 performs an analysis for each district according to the currently selected button among the buttons 76a to 76c, and colors the range of each district on the map 60. Here, the processing procedure by the district analysis unit 209 will be explained with reference to FIG. 24, using the case where the button 76a is selected as an example.

The district analysis unit 209 classifies each sample into the district in the target area to which the position of the departure place belongs, based on the district range data 55 of the target area stored in the district range data storage unit 214 (#861 in FIG. 24). The position of the departure place is the position corresponding to the first time of the log data 51 of the analysis data 54 (see FIG. 6). However, if the check box 76d and the radio button 76f are both on, the sample may be classified into the district to which the evacuation destination position, that is, the position corresponding to the last time of the log data 51, belongs. Also, if multiple district range data 55 of the target area are stored in the district range data storage unit 214, the district range data 55 corresponding to the division method selected by the operator 33 from the division list 73b of the general setting window 73 (see FIG. 8(B)) is used.

For each district, the district analysis unit 209 counts the total number of samples classified into that district and the number of samples for which the overall evaluation result is "failure" (#862), and calculates the ratio of the number to the total (failure ratio) (#863).

Then, the district analysis unit 209 updates the map 60 to a state in which the range of districts whose failure rates are less than the first threshold Ha is colored in a first color (e.g., green), the range of districts whose failure rates are equal to or greater than the first threshold Ha and less than the second threshold Hb is colored in a second color (e.g., yellow), and the range of districts whose failure rates are equal to or greater than the second threshold Hb is colored in a third color (e.g., red) as shown in FIG. 25 (#864).

The operator 33 can arbitrarily set the first threshold Ha and the second threshold Hb in the text box 73e and the text box 73f of the general setting window 73, respectively. Alternatively, they can be set using the seek bar. The district analysis unit 209 can also calculate and graph the percentage of "successes" or "narrow escapes," that is, the success percentage, instead of the failure percentage.

Alternatively, if button 76b is selected, the district analysis unit 209 calculates, for each district, the average closest approach time of the samples classified into that district, instead of the processing of steps #862 to #863. Then, in step #864, the map 60 is updated so that the range of districts where the average is equal to or greater than the first threshold Hc is colored in a first color, the range of districts where the average is less than the first threshold Hc and equal to or greater than the second threshold Hd is colored in a second color, and the range of districts where the average is less than the second threshold Hd is colored in a third color.

Similarly, when button 76c is selected, the district analysis unit 209 calculates, for each district, the average evacuation time of the samples classified into that district, instead of the processes of steps #862 to #863. Then, in step #864, the map 60 is updated so that the range of districts whose average value is less than the first threshold value He is colored in a first color, the range of districts whose average value is equal to or greater than the first threshold value He and less than the second threshold value Hf is colored in a second color, and the range of districts whose average value is equal to or greater than the second threshold value Hf is colored in a third color.

The first threshold Hc, the second threshold Hd, the first threshold He, and the second threshold Hf can also be arbitrarily specified by the operator 33, similar to the first threshold Ha and the second threshold Hb.

When the check box 76g is turned on while only dots 600 of samples (matching samples) that meet the conditions among the samples in the target area are placed on the map 60 by the function of the filtering processing unit 208, the district analysis unit 209 may analyze only the matching samples using the method described above.

Also, when the check button 76d in the switching window 76 is turned off, the mapping processing unit 204 stops placing the dots 600 for each sample. In the example shown in FIG. 25, the placement is stopped. When it is turned on again, the placement is resumed.

The mapping processing unit 204 places the dots 600 of each sample at the starting location of each sample on the map 60, but may also place them at the evacuation destination of each sample. Specifically, when the check button 76d of the switching window 76 is on and the radio button 76f is selected, the dots 600 are placed at the evacuation destination, and when the radio button 76e is selected, the dots 600 are placed at the starting location.

When one or more districts are selected from the map 60, the mapping processing unit 204 selects only samples whose dots 600 belong to the selected districts, and updates the sample number indicator 62 to indicate the number of selected samples. The item-specific analysis unit 207 performs analysis based on the analysis data 54 (see Figure 6) of the selected samples, and displays the analysis results as a chart screen 78 (see Figures 16 to 18).

3.9 Display of flooded areas
26 is a diagram showing an example of a tsunami setting window 75. FIG.

The flooded area display unit 210 performs the process of displaying the areas that will be flooded by the expected tsunami on the map 60 (see Figure 7) as follows.

When the operator 33 clicks the flooded area button 65, the flooded area display unit 210 places a tsunami setting window 75 as shown in FIG. 26 on the main screen 6 in place of the flooded area button 65. Here, the operator 33 turns on the switch 75a. The operator selects the tsunami he or she wishes to check from among the L2 tsunami, L1 tsunami, and R tsunami by clicking the corresponding tsunami radio button from the group of radio buttons 75b. In addition, the time that has elapsed since the virtual earthquake occurrence time is input in the text box 75c. Hereinafter, the selected tsunami is referred to as the "selected expected tsunami". In addition, the time that has elapsed since the virtual earthquake occurrence time by the input time is referred to as the "designated time".

Then, the flooded area display unit 210 identifies areas that are expected to be flooded at the specified time (i.e., areas where the tsunami height exceeds 0 at the specified time) based on the expected flooding data 50 of the selected expected tsunami stored in the evacuation drill data storage unit 211, and colors the identified areas in the map 60 as flooded areas 602, as shown in Figure 27.

The operator 33 can check the progress of the selected assumed tsunami by changing the time in the text box 75c. The flooded area display unit 210 may automatically gradually increase the time in the text box 75c, and display the progress of the selected assumed tsunami like an animation.

4. Overall Processing Flow
28 and 29 are flowcharts illustrating an example of the overall processing flow of the evacuation analysis server 2.

Next, the overall processing flow of the analysis service providing program 20 in the evacuation analysis server 2 will be explained with reference to the flowcharts in Figures 28 and 29.

The evacuation analysis server 2 executes processing based on the analysis service provision program 20 in the steps shown in Figures 28 to 29.

The evacuation analysis server 2 displays the main screen 6 (see FIG. 7) on the client 3 immediately after starting the analysis service providing program 20 or after a specified operation (#101 in FIG. 28).

When the target setting button 61 is clicked on the client 3 (Yes in #102), the evacuation analysis server 2 displays the target setting window 71 (see FIG. 8(A)) on the client 3 and accepts the target area, target period, and target tsunami from the client 3 (#103). Then, a map of the target area is placed on the main screen 6 as map 60 (#104), and evacuation drill data 53 corresponding to the target area, target period, and target tsunami is selected and stored in the analysis data storage unit 213 as analysis data 54 (#105).

Alternatively, when the general settings button 63 is clicked on the client 3 (Yes in #106), the evacuation analysis server 2 causes the general settings window 73 (see FIG. 8B) to be displayed on the client 3, and accepts the size of the dots 600, the first threshold Ha, the second threshold Hb, or the division of the district range (#107). When the new button 73a is clicked (Yes in #108), the district selection screen 69 (see FIG. 9) is displayed on the client 3, and a new division of the district range is accepted, which is stored as district range data 55 by the district range data storage unit 214 (#109).

Alternatively, when the simulation button 64 is clicked on the client 3 (Yes in #110), the evacuation analysis server 2 displays the condition change screen 74 (see FIG. 12) on the client 3, accepts conditions related to the expected tsunami, preparation time, or evacuation speed (#111), and updates the log of each sample using the procedure shown in FIG. 13 (#112). Then, based on the updated log, it performs an evaluation of the progress and overall evaluation using the procedure shown in FIG. 15 (#113). The analysis data 54 of each sample is updated by the processing of steps #112 to #113.

The evacuation analysis server 2 also performs mapping processing as follows. If the mapping processing mode is the actual situation mode (Yes in #114), mapping processing is performed based on the analysis data 54 before the update (initial state) (#115). Since the actual situation mode is set by default, after the analysis service providing program 20 is started, the evacuation analysis server 2 performs mapping processing based on the analysis data 54 before the update (initial state) when it receives the target area, target period, and target tsunami.

On the other hand, if conditions related to the expected tsunami, preparation time, or evacuation speed are received from the client 3, the mapping process mode switches to simulation mode. In the simulation mode (No in #114), the evacuation analysis server 2 performs mapping process based on the analysis data 54 updated in steps #112 to #113 (#116).

Alternatively, when one of the multiple item buttons 68 is clicked on the client 3 (Yes in #117), the evacuation analysis server 2 performs an analysis on the item corresponding to the clicked item button 68 based on the analysis data 54 (#118), and displays the analysis results on the client 3 as a chart screen 78 (see Figures 16 to 18) (#119).

When a bar in a bar graph, a sector in a pie graph, or a rectangle in a bar graph on the chart screen 78 is selected as an element of interest on the client 3 (Yes in #120 in FIG. 29), the evacuation analysis server 2 extracts samples that meet the conditions related to the element of interest and limits the dots 600 placed on the map 60 to only those of the extracted samples (#121). In other words, filtering is performed.

Alternatively, when the switching button 66 is clicked on the client 3 (Yes in #122), the evacuation analysis server 2 displays the switching window 76 (see FIG. 22) on the client 3 and accepts the conditions for switching (#123).

If check box 76g is checked (Yes in #124), an analysis is performed for each district on the items corresponding to the selected button among buttons 76a to 76c, and each district on map 60 is color-coded according to the analysis results (#125). This process is as previously described in FIG. 24. For example, if button 76a is selected, the districts are color-coded according to the percentage of failures in evacuation drills, as shown in FIG. 25.

When the check box 76d is checked (Yes in #126), the evacuation analysis server 2 maps the dots 600 of each sample onto the map 60 in a form that corresponds to the value of each sample for the item that corresponds to the selected button among the buttons 76a to 76c (#127). For example, when the button 76b is selected, the dots 600 of each sample are mapped in a form that corresponds to the closest approach time of each sample, as shown in FIG. 23. However, when the radio button 76e is selected, the dots are placed at the departure locations of each sample, and when the radio button 76f is selected, the dots are placed at the evacuation destinations of each sample.

Alternatively, when the flooded area button 65 is clicked on the client 3 (Yes in #128), the evacuation analysis server 2 displays the tsunami setting window 75 (see FIG. 26) on the client 3 and accepts conditions related to the tsunami (#129). Then, according to the accepted conditions, it identifies an area estimated to be flooded by the tsunami (selected expected tsunami) and places that area on the map 60 as a flooded area 602, as shown in FIG. 27 (#130).

The evacuation analysis server 2 executes steps #102 to #130 as appropriate until a command to terminate the analysis service providing program 20 is given (No in #131).

5. Effects of this embodiment
According to the present embodiment, information regarding evacuation is analyzed from various perspectives, and the analysis results are visualized and provided to the operator, which allows the operator to more easily consider a strategy or policy for evacuation from a tsunami than ever before.

In other words, by analyzing the actual human behavior shown in the evacuation drill data and scientific knowledge based on the latest tsunami inundation simulations, disaster prevention personnel in organizations such as local governments, companies, and educational institutions nationwide will be able to grasp the situation of more realistic evacuation drill behavior. This will make it easier than ever to take measures against tsunamis caused by Nankai Trough earthquakes, including pre-evacuation when so-called "emergency information" is announced. In particular, by using the tsunami evacuation strategy review support system 1, it is possible to specifically identify areas and people who are difficult to evacuate, so that more effective measures can be taken and promoted, leading to the formulation of plans. In addition, not only disaster prevention personnel but also residents and researchers can use the tsunami evacuation strategy review support system 1. This will allow more effective disaster prevention measures to be taken on an individual basis and materials for research on disaster prevention, etc. to be collected.

6. Modifications
In this embodiment, the evacuation training application 40 is configured to allow an assumed tsunami to be arbitrarily selected from an L2 tsunami, an L1 tsunami, and an R tsunami, but the assumed tsunami may be determined in advance to be one of the predetermined types. In this case, the radio button group 71d is not arranged in the target setting window 71 (see FIG. 8), and the analysis data selection unit 202 (see FIG. 3) selects the evacuation training data 53 corresponding to the target area and target period specified in the target setting window 71 from the evacuation training data storage unit 211, and stores it in the analysis data storage unit 213 as analysis data 54.

In this embodiment, to generate the log data 51 (see FIG. 6), the position at each time during the evacuation drill is obtained using the GPS function of the smartphone 4, but it may be obtained by other methods. For example, it may be obtained using a route search application such as "Google Maps" by Google Inc. or "Maps" by Apple Inc. In this case, instead of actually performing an evacuation drill, the start point (starting point), end point (evacuation destination), and means of transportation can be specified for the route search application. However, since route search applications do not easily take into account the speed of movement and changes in elevation of the route, it is preferable to actually perform an evacuation drill and obtain the position at each time during the evacuation drill.

In this embodiment, the item-by-item analysis unit 207 analyzed samples for the items shown in Figures 16 to 18, but other items may also be analyzed. For example, weather, whether or not someone was accompanied, whether or not someone had a caregiver during evacuation, whether or not someone had a caregiver in daily life, whether or not someone participated in public evacuation drills, or daytime/nighttime may be analyzed. Alternatively, a combination of multiple items may be used for multidimensional analysis. For example, the method of transportation may be combined with the overall evaluation result for analysis. In this case, the number of evaluation results (success, close call, failure) for each element of the method of transportation (walking, bicycle, motorcycle, ..., silver cart) may be calculated, and the number of each result may be displayed as a matrix or a two-dimensional bar graph. Similarly, each item shown in Figures 16 to 18 (excluding Figures 16(A) and 18(D)) may be combined with the overall evaluation result for analysis. This allows the tendency of the overall evaluation result to be analyzed for each item.

In this embodiment, the re-evaluation unit 206 and the evacuation drill evaluation unit 401 (see FIG. 4) evaluate the progress at one-minute intervals, but they may also evaluate at longer intervals (e.g., every three minutes) or shorter intervals (e.g., every 30 seconds). Then, the timing of acquiring location information, etc. may be changed to match the timing of the evaluation.

In this embodiment, three types of tsunamis are assumed: L1 tsunami, L2 tsunami, and R tsunami, but more types of tsunamis may be assumed.

In this embodiment, three levels of values, "Success", "Narrow escape", and "Failure", are used as the overall evaluation value of the evacuation drill, but it may be two levels, "Success" and "Failure", or it may be four or more levels.

In this embodiment, for the simulation mode, the progress update unit 205 accepts one or more conditions of the expected tsunami, preparation time, and evacuation speed to update the log data 51, but it may also accept conditions for the evacuation destination. In this case, the progress update unit 205 uses a route search application to identify a route from the departure location to the accepted evacuation destination. At this time, the position at each time is also identified. Then, the log data 51 is updated according to this identified information.

In this embodiment, the smartphone 4 is used primarily to collect evacuation drill data 53, but it can also be used for other purposes. For example, information on evacuation drills of other users (such as the location at each time shown in the log data 51) may be provided to the smartphone 4 of the user 43. In particular, it is beneficial for the user 43 to be provided with information on evacuation drills of other users who have a lot in common with the user 43.

In this embodiment, the tsunami evacuation strategy review support system 1 is used to support the review of evacuation strategies from tsunamis, but it may also be applied to other disasters. For example, it may be applied to support the review of evacuation strategies from disasters such as floods or landslides, volcanic eruptions, heavy snowfall, forest fires, and CBRNE disasters.

In this embodiment, the attribute data 52 (see FIG. 6) indicates information such as the user's age and gender, but it may also indicate an identifier. For example, a local government or the like issues and communicates an identification code to each user in advance in order to identify individuals. Each user inputs their own identification code along with their own age, gender, etc. as information about themselves.

This allows the data on evacuation drills acquired by the tsunami evacuation strategy review support system 1 to be linked to data such as personal information held by local governments and other organizations, making it possible for them to provide each other with data and work together to realize applied services.

In this embodiment, the preparation time Tp is input by the user, but the smartphone 4 may estimate it based on the location information of the smartphone 4 of the user. In this case, after inputting a start command to the smartphone 4, the user starts preparations for heading to the evacuation destination, such as checking the safety of the fire, preparing items to take to the evacuation destination, or supporting the evacuation of people who require assistance. Then, when preparations are completed, the smartphone 4 departs for the evacuation destination. When the start command is input, the smartphone 4 monitors the location information of the smartphone 4 itself, and when it detects that the smartphone 4 has moved a predetermined distance (e.g., 15 meters) or more away from the position immediately after the start command was input, it determines that the user has departed for the evacuation destination. Then, it estimates the time from the time the start command was input to the time it was determined that the user has departed as the preparation time Tp. Alternatively, it has the user perform a predetermined operation (e.g., tapping a predetermined button) before completing preparations and departing for the evacuation destination. Then, the smartphone 4 estimates the time from the time the start command was input to the time the predetermined operation was performed as the preparation time Tp. Note that the estimation may be performed by the evacuation analysis server 2 instead of the smartphone 4.

FIG. 30 is a diagram showing an example of a manner in which a mark 605 is arranged on a map 60. As shown in FIG.
In this embodiment, the client 3 is configured so that an operator can receive services such as analysis provided by the evacuation analysis server 2 via a web browser, but it may also be configured so that the services can be received via an application dedicated to this service.

The map 60 may show the evaluation results of the progress of each user at each specified time during the evacuation drill. For example, as shown in FIG. 30, a mark 605 representing the evaluation result of the progress at each specified time is placed on the map 60 for a certain user. As the mark 605, if the evaluation result of the progress is "going well", a triangle image is placed if it is "dangerous", and a square image is placed if it is "flooded". The mark 605 may be displayed for each user.

Also, a slider 606 for specifying the time elapsed from the departure time may be displayed on the client 3 together with the map 60, and only the marks 605 of each predetermined time that belong to the elapsed time specified by the slider 606 may be placed among these marks 605. This allows the operator to check the transition of the position and evaluation results during evacuation forward or backward by sliding the slider left and right.

For example, when the information shown in the log data 51 of a certain user is as shown in FIG. 14(A) and "7 minutes" is specified as the elapsed time, marks 605 corresponding to "good", "good", "dangerous", and "dangerous" are placed at positions (X_a, Y_a), (X_a, Y_a), (X_c, Y_c), and (X_d, Y_d) at the times of "0 minutes", "5 minutes", "6 minutes", and "7 minutes", respectively. Alternatively, when the log data 51 is updated by the simulation mode as shown in FIG. 14(D) and "10 minutes" is specified as the elapsed time, marks 605 corresponding to "good", "dangerous", and "dangerous" are placed at positions (X_a, Y_a), (X_a, Y_a), and (X_c, Y_c) at the times of "0 minutes", "8 minutes", and "10 minutes", respectively.

Furthermore, a temporary overall evaluation up to that point may be performed based on the evaluation results of the intermediate progress at each predetermined time that belongs to the elapsed time specified by the slider. For example, if all the evaluation results up to that point are "smooth", it is evaluated as a "success", if there is even one "flooding" it is evaluated as a "failure", and otherwise it is evaluated as a "narrow escape". Then, based on the results of the temporary overall evaluation, chart screens 78a to 78n (see Figures 16 to 18) are displayed on the client 3.

A play button 607 and a timer may be provided, and when the play button 607 is pressed, the timer measures the time that has elapsed since the departure time, and only the marks 605 for each predetermined time that belongs to the elapsed time may be placed. Also, instead of the marks 605, an image of a circle enclosing a number that represents the approach time Tr may be placed. Furthermore, an area that is assumed to be flooded after the elapsed time from the departure time (flooded area) may be identified, and the flooded area may be displayed in color as flooded area 602 (see FIG. 27). The method of identification is as explained in "3.9 Display of flooded area". In this way, the flooded area expanding over time is reproduced like an animation along with the user's movement.

In addition, the configuration of the entire or each part of the tsunami evacuation strategy review support system 1, evacuation analysis server 2, client 3, and smartphone 4, the processing content, processing order, data configuration, screen configuration, etc. can be appropriately changed in accordance with the spirit of the present invention.

1 Tsunami evacuation strategy review support system 2 Evacuation analysis server 204 Mapping processing unit (map generation means)
205 Progress update unit (process change means)
206 Re-evaluation unit (evaluation calculation means)
207 Itemized analysis section (diagram presentation means)
208 Filtering processing unit 209 District analysis unit 211 Evacuation drill data storage unit (evaluation acquisition means, additional information acquisition means)
4. Smartphone (portable terminal device)
51 Log data 52 Attribute data 54 Data for analysis 6 Main screen (Evacuation characteristics map)

Claims (17)

an evaluation acquisition means for acquiring, for each of a plurality of individuals in a specific area, a degree of temporal proximity between the individual and the tsunami during the evacuation process as an evaluation of evacuation from the individual's departure location to the individual's evacuation site in the event of a tsunami;
a process change means for changing the process of each of the plurality of individuals based on a given condition;
an evaluation calculation means for calculating a state of approach based on the process of each of the plurality of individuals changed by the process change means as a second evaluation regarding the evacuation of each of the plurality of individuals;
a map generating means for generating an evacuation characteristics map representing characteristics of the suitability of the evacuation in the specific area based on the evaluation of each of the plurality of individuals, and generating the evacuation characteristics map based on the second evaluation instead of the evaluation in a predetermined case;
A tsunami evacuation strategy review support system comprising: The evaluation acquisition means acquires, as the evaluation of each of the plurality of individuals, a state of closest approach between the individual and the tsunami during the process for the individual,
the evaluation calculation means calculates, as the second evaluation for each of the plurality of individuals, a degree of closest approach in the process for the individual changed by the process change means;
the map generating means generates the evacuation characteristic map by arranging an evaluation image corresponding to the evaluation or the second evaluation of each of the plurality of individuals at a position corresponding to the departure place or the evacuation place of each of the plurality of individuals in the map of the specific region.
The tsunami evacuation strategy review support system according to claim 1. an additional information acquisition means for acquiring, as additional information for each of the plurality of individuals, information on the attributes of the individual or information on the environment of the individual at the time of the evacuation;
A graph presentation means for providing a graph showing a distribution of the appended information of each of the plurality of individuals for each of a plurality of elements or ranges;
having
when any one of the plurality of elements or ranges is selected, the map generating means generates the evacuation characteristic map by arranging the evaluation image of an individual, of the plurality of individuals, whose appended information corresponds to the selected element or range.
The tsunami evacuation strategy review support system according to claim 2. the evaluation acquisition means acquires, as the evaluation of each of the plurality of individuals, a state of approach of the individual at each of a plurality of times in the process;
the map generating means generates the evacuation characteristic map by arranging evaluation images corresponding to the evaluations of at least one of the plurality of individuals at each of the plurality of times at positions where the at least one of the plurality of individuals was located at each of the plurality of times in the map of the specific region.
The tsunami evacuation strategy review support system according to claim 1. the evaluation calculation means calculates, as the second evaluation for each of the plurality of individuals, a state of approach for each of the plurality of individuals at each of a plurality of times in the course changed by the course change means;
the map generating means generates the evacuation characteristic map by arranging evaluation images corresponding to the second evaluations of at least one of the plurality of individuals at respective positions where the at least one of the plurality of individuals was located at each of the plurality of times in the map of the specific region.
The tsunami evacuation strategy review support system according to claim 1. an evaluation acquisition means for acquiring, for an individual in a specific area, a degree of temporal proximity between the individual and the tsunami during the evacuation process as an evaluation of the evacuation of the individual from the starting place of the individual to the evacuation site when a tsunami is assumed to have occurred;
A process change means for changing the process based on a given condition;
an evaluation calculation means for calculating a state of the approach based on the process changed by the process change means as a second evaluation regarding the evacuation;
a map generating means for generating an evacuation characteristics map representing characteristics of the suitability of evacuation in the specific area based on the evaluation, and generating the evacuation characteristics map based on the second evaluation instead of the evaluation in a predetermined case;
A tsunami evacuation strategy review support system comprising: An evaluation acquisition means for acquiring, for each of a plurality of individuals in a specific area, an evaluation regarding evacuation from a departure location of the individual to an evacuation site of the individual in the event of a tsunami;
a process change means for changing the evacuation process for each of the plurality of individuals based on a given condition;
an evaluation calculation means for calculating a second evaluation regarding the evacuation for each of the plurality of individuals based on the process changed by the process change means;
a map generating means for generating an evacuation characteristics map that expresses the range of each of the plurality of districts in a form corresponding to the ratio of the district by calculating a ratio of success or failure of the evacuation for each of a plurality of districts in the specific region based on the evaluation of each of the individuals among the plurality of individuals whose departure location belongs to the district, and for generating the evacuation characteristics map by calculating the ratio based on the second evaluation instead of the evaluation in a predetermined case;
A tsunami evacuation strategy review support system comprising: a designation and selection means for allowing an operator to designate or select the plurality of districts;
having
A tsunami evacuation strategy review support system according to claim 7. an evaluation acquisition means for acquiring, for each of a plurality of individuals in a specific area, an evaluation regarding evacuation from the starting place of the individual to the evacuation site of the individual in the event of a tsunami, the evaluation being calculated based on the evacuation process acquired by a portable terminal device having a GPS (Global Positioning System) function of the individual;
a map generating means for generating an evacuation characteristic map representing characteristics of the appropriateness or inappropriateness of evacuation in the specific area based on the evaluation of each of the plurality of individuals;
A tsunami evacuation strategy review support system comprising: having a computer execute an evaluation acquisition process for acquiring, for each of a plurality of individuals in a specific area, a degree of temporal proximity between the individual and the tsunami during the evacuation process as an evaluation of evacuation from the individual's departure location to the individual's evacuation site in the event of a tsunami occurring;
causing a computer to execute a process change process for changing the process of each of the plurality of individuals based on a given condition;
causing a computer to execute an evaluation calculation process for calculating, as a second evaluation regarding the evacuation of each of the plurality of individuals, a state of approach based on the process of each of the plurality of individuals changed by the process change process;
generating an evacuation characteristics map showing characteristics of the suitability of evacuation in the specific area based on the evaluation of each of the plurality of individuals, and causing a computer to execute a map generating process for generating the evacuation characteristics map based on the second evaluation instead of the evaluation in a predetermined case;
A tsunami evacuation strategy consideration support method comprising: a computer is caused to execute an evaluation acquisition process for acquiring a degree of temporal proximity between an individual in a specific area and a tsunami during the evacuation process as an evaluation of evacuation from a departure location of the individual to an evacuation site of the individual in the event of a tsunami occurring;
causing a computer to execute a process change process for changing the process based on a given condition;
causing the computer to execute an evaluation calculation process for calculating, as a second evaluation regarding the evacuation, a state of the approach based on the process changed by the process change process;
generating an evacuation characteristics map showing characteristics of the suitability of evacuation in the specific area based on the evaluation, and causing the computer to execute a map generating process for generating the evacuation characteristics map based on the second evaluation instead of the evaluation in a predetermined case;
A tsunami evacuation strategy consideration support method comprising: A computer is caused to execute an evaluation acquisition process for acquiring, for each of a plurality of individuals in a specific area, an evaluation regarding evacuation from a departure location of the individual to an evacuation site of the individual in the event of an assumed occurrence of a tsunami;
causing a computer to execute a process change process for changing the evacuation process for each of the plurality of individuals based on a given condition;
a computer executes an evaluation calculation process to calculate a second evaluation regarding the evacuation for each of the plurality of individuals based on the process changed by the process change process;
a map generating process is executed by the computer to generate an evacuation characteristics map that expresses the range of each of the plurality of districts in the specific region in a form corresponding to the ratio of the district by calculating a ratio of success or failure of the evacuation based on the evaluation of each of the individuals among the plurality of individuals whose departure location belongs to the district, and in a predetermined case, to calculate the ratio based on the second evaluation instead of the evaluation to generate the evacuation characteristics map;
A tsunami evacuation strategy consideration support method comprising: a computer is caused to execute an evaluation acquisition process for acquiring, for each of a plurality of individuals in a specific area, an evaluation regarding evacuation from the starting place of the individual to an evacuation site of the individual in the event of an assumed occurrence of a tsunami, the evaluation being calculated based on the evacuation process of the individual acquired by a portable terminal device having a GPS (Global Positioning System) function;
a map generating process for generating an evacuation characteristics map showing characteristics of the suitability of evacuation in the specific area based on the evaluation of each of the plurality of individuals;
A tsunami evacuation strategy consideration support method comprising: having a computer execute an evaluation acquisition process for acquiring, for each of a plurality of individuals in a specific area, a degree of temporal proximity between the individual and the tsunami during the evacuation process as an evaluation of evacuation from the individual's departure location to the individual's evacuation site in the event of a tsunami occurring;
causing the computer to execute a process change process for changing the process of each of the plurality of individuals based on a given condition;
causing the computer to execute an evaluation calculation process for calculating, as a second evaluation regarding the evacuation of each of the plurality of individuals, a state of approach based on the process of each of the plurality of individuals changed by the process change process;
generating an evacuation characteristics map showing characteristics of the suitability of evacuation in the specific area based on the evaluation of each of the plurality of individuals, and causing the computer to execute a map generating process for generating the evacuation characteristics map based on the second evaluation instead of the evaluation in a predetermined case;
A computer program comprising: a computer is caused to execute an evaluation acquisition process for acquiring a degree of temporal proximity between an individual in a specific area and a tsunami during the evacuation process as an evaluation of evacuation from a departure location of the individual to an evacuation site of the individual in the event of a tsunami occurring;
causing the computer to execute a process change process for changing the process based on a given condition;
causing the computer to execute an evaluation calculation process for calculating a state of approach based on the process changed by the process change process as a second evaluation regarding the evacuation;
generating an evacuation characteristics map showing characteristics of the suitability of evacuation in the specific area based on the evaluation, and causing the computer to execute a map generating process for generating the evacuation characteristics map based on the second evaluation instead of the evaluation in a predetermined case;
A computer program comprising: A computer is caused to execute an evaluation acquisition process for acquiring, for each of a plurality of individuals in a specific area, an evaluation regarding evacuation from a departure location of the individual to an evacuation site of the individual in the event of an assumed occurrence of a tsunami;
causing the computer to execute a process change process for changing the evacuation process for each of the plurality of individuals based on a given condition;
causing the computer to execute an evaluation calculation process for calculating a second evaluation regarding the evacuation for each of the plurality of individuals based on the process changed by the process change process;
a map generating process that calculates a ratio of success or failure of the evacuation for each of a plurality of districts in the specific region based on the evaluation of each of the plurality of individuals whose departure location belongs to that district, generates an evacuation characteristics map that represents the range of each of the plurality of districts in a form corresponding to the ratio of that district, and causes the computer to execute a map generating process that calculates the ratio based on the second evaluation instead of the evaluation in a predetermined case, and generates the evacuation characteristics map;
A computer program comprising: a computer is caused to execute an evaluation acquisition process for acquiring, for each of a plurality of individuals in a specific area, an evaluation regarding evacuation from the starting place of the individual to an evacuation site of the individual in the event of an assumed occurrence of a tsunami, the evaluation being calculated based on the evacuation process of the individual acquired by a portable terminal device having a GPS (Global Positioning System) function;
causing the computer to execute a map generation process for generating an evacuation characteristics map showing characteristics of the suitability of evacuation in the specific area based on the evaluation of each of the plurality of individuals;
A computer program comprising:

Images