JP4385865B2 - Traffic advertisement operation management system - Google Patents

Description

  The present invention relates to an operation management system for advertisements posted on transportation such as railways, ships, and airplanes, and in particular, realizes improvement in profits of traffic advertisements and the planning of rational sales measures for advertisers and advertising space managers. In order to do so, the present invention relates to a system for setting a posting fee and proposing an advertising space.

  Pricing for railway advertisements posted on or within railway stations is based on the number of people in the facility and the type of advertising media (station boards, signboards, displays, etc.). ing. It is known to set an advertisement fee based on a place or region where an advertisement is placed or a time or season when the advertisement is placed (see Patent Documents 1 and 2).

  In addition, passenger attributes that the advertiser wants to advertise, such as gender, age, and transportation usage history (hereinafter referred to as advertiser needs) and passenger attributes captured by the advertising space (hereinafter referred to as advertising space characteristics) Advertisers predict the ad space that matches the above based on their experience and intuition, and request the ad space manager such as a railway company to place the ad. Also, advertising space managers such as railway companies predict the advertising space characteristics based on experience and intuition and operate the advertising space.

  The same applies to traffic advertisements posted on transportation such as ships, airplanes, and toll roads, regardless of railway advertisements.

  The advertisement management center sends the advertisement contents received from the customer to the suspended advertisement and / or the car amount poster so that it can be displayed only within the moving section of the railway vehicle having an appropriate advertising effect according to the customer's request. It is also known to transmit an end signal (see Patent Document 3).

JP 2002-74197 A Japanese Patent Laid-Open No. 2003-223130 JP 2004-138765 A

  However, according to the conventional technology, an advertising space manager such as a railway company cannot set an advertising fee according to an advertiser's demand, and there is a possibility that potential demand is missed. In order to solve this problem, it is conceivable to apply a revenue management method used in airline seat reservation or hotel room reservation. However, since it is difficult to predict the demand based on the relationship between the advertising space and the advertiser's demand, it is difficult to apply the profit management method.

  In addition, with conventional technology, advertisers and inventory managers could not obtain sufficient information about the inventory characteristics, so advertisers decided on the inventory to be posted based on experience and intuition, and inventory managers experienced I had to rely on the intuition to manage the advertising space.

  The first object of the present invention is to perform demand prediction based on the relationship between the advertising space and the advertiser's demand, set an appropriate advertising fee according to the advertiser's demand, and improve the operating profit of the advertising space. It is to provide a system and the like that can.

  The second object of the present invention is to allow advertisers and advertising space managers to understand the characteristics of advertising space, and to support efficient advertising placement and efficient management of advertising space by advertising space managers. It is to provide a system and the like.

  In order to solve this problem, in the present invention, in a traffic advertisement operation management system posted on a transportation system such as a railway, a ship, and an aircraft, an advertising space is evaluated from boarding / exiting history data collected at a ticket gate or a gate. Do it.

  Next, the advertising space characteristic is grasped using the evaluation value of the advertising space, the demand is predicted based on the advertising space characteristic and the demand of the advertiser, the profit management method is applied, and the advertising fee is set.

  Also, the degree of suitability between the advertiser needs input by the advertiser and the advertising space characteristics is calculated, and an advertising space with a high degree of matching is proposed to the advertiser.

  In addition, an efficient operation is proposed to the advertising space manager for each advertising space according to the advertising space characteristics.

  According to the present invention, since an appropriate advertising fee is set according to the demand of the advertiser, the operating profit of the advertising space can be improved.

  Further, according to the present invention, since the advertising space according to the needs of the advertiser can be proposed, the operational efficiency of the advertising space can be improved.

  Hereinafter, the traffic advertisement operation management system of the present invention will be described in detail with reference to the drawings. In the following, a railroad advertisement will be described as an example of a traffic advertisement.

  FIG. 1 is a schematic diagram illustrating a configuration example of a traffic advertisement operation management system. Admission history collection unit 101 that collects data collected from the ticket gates, boarding history DB 102 that accumulates data collected by the boarding history collection unit 101, and evaluation of advertising space using data accumulated in the boarding history DB 102 An advertising evaluation unit 103, an advertising space management information DB 104 in which information of advertising space such as placement position, advertising medium, size, fee, operation results, etc., and information of advertisers who have posted advertisements in the past are stored, An advertisement fee that sets an advertisement fee according to the demand of the advertiser using the advertisement evaluation result DB 105 that accumulates the evaluation calculated by the evaluation unit 103, and the information accumulated in the advertisement space management information DB 104 and the advertisement evaluation result DB 105 Use the information stored in the setting unit 106, the advertising space management information DB 104, and the advertising evaluation result DB 105 to search for advertising space that meets the conditions entered by the advertiser. Advertising that should be promoted by using the information accumulated in the advertising space proposal unit 107, the advertiser posting performance DB 108 in which the advertiser's advertising performance is accumulated, the advertising space management information DB 104, and the advertisement evaluation result DB 105 And an advertising space operation support unit 109 that mainly proposes to the advertising space manager. In addition, the boarding / alighting history collection unit 101, the advertising fee setting unit 106, the advertising space proposing unit 107, and the advertising space operation supporting unit 109 are various terminal devices (the ticket gate 110, the advertising fee setting terminal 111, the advertising space reservation terminal 112, the advertising space, respectively). Frame operation support terminal 113).

  The structure of the boarding / alighting history DB 102 is shown in FIG. The getting-on / off history DB 102 includes a use date / time 201, a station ID 202, a device ID 203, a ticket ID 204, and a use content 205 for each passer-by. Here, the ticket ID 204 is given information such as the gender and age of the holder of the ticket.

  The configuration of the advertising space management information DB 104 is shown in FIG. The advertisement space management information DB 104 is composed of advertisement space management information, and the configuration content is date 301, for each advertisement space ID 302, a station ID 304 where the advertisement space is installed, a device ID 305 indicating the place where the advertisement space is installed, An advertising medium 306 such as a poster or an electric signboard, an advertising fee 307, an advertiser ID 308 that has placed an advertisement in the advertising space, a passage width 309 in front of the installed advertising space, and the advertising space is installed This is the ratio (advertising recognition rate) 310 that passengers who have passed through the passage recognize the advertisement. Here, the advertisement recognition rate 310 is arbitrarily given in advance by the advertisement space manager from the passenger questionnaire, the placement location of the advertisement space, the type of the advertisement medium, the width of the passage where the advertisement space is installed, and the like.

  The configuration of the advertisement evaluation result DB 105 is shown in FIG. The advertisement evaluation result DB 105 includes a date 401, an advertisement space ID 402, an advertisement evaluation method 403, and evaluation values 406 for the passenger attributes 404 to 405. Here, the passenger attributes 404 to 405 are the ticket transit time, ticket type information such as commuter pass and ordinary ticket, OD (Origin Destination) information such as destination and departure point, ticket ID, and its boarding This is the information configured in the boarding / exiting history DB 102, indicating the gender, age, etc. of the holder given to the ticket ID.

  The configuration of the advertiser posting performance DB 108 is shown in FIG. The advertiser placement record DB 108 is composed of information related to the advertiser's placement record. The contents of the advertisement are the advertiser ID 501, the date 504 when the advertisement is placed for each placement advertisement ID 502, the advertisement space ID 505, and the entered advertiser needs 506. , Payment amount 507. Here, the advertiser ID 501 is provided with information such as the advertiser's name, address, and telephone number.

  Hereinafter, processing of the traffic advertisement operation management system of the present invention will be described with reference to FIG. The boarding / exiting history management unit 101 collects passenger boarding / exiting histories and stores the data in the boarding / exiting history DB 102. The advertisement evaluation unit 103 estimates the evaluation value of the advertising space for each advertising space from the data accumulated in the boarding / alighting history DB 102 and the advertising space management information accumulated in the advertising space management information DB 104, and the estimated result Are stored in the advertisement evaluation result DB 105.

  Here, the following four items are listed as evaluation items for the advertising space.

  The number of people using transportation facilities is one of the evaluation items for the first advertising space. This is based on the number of people passing through the ticket gates and gates of the facility where the advertising space is installed.

  The number of people who touched (touched) the advertisement posted as an evaluation item of the second advertisement space (number of people who contacted the advertisement) can be mentioned. Hereinafter, description will be made with reference to the flowchart of calculating the number of contact people of advertisement in FIG. The advertisement evaluation unit 103 acquires the entry / exit history data of the ticket gates stored in the entry / exit history DB 102 (step 601). It is estimated which train the passenger has boarded using the acquired boarding / exiting history data (step 602). Here, the estimation method uses the existing estimation method using the equilibrium allocation method [Jin Ieda, Takashi Akamatsu, Kaoru Takagi, Hideto Hatanaka, “Evaluation of user benefits of commuter train operation plan by user equilibrium allocation method”, Civil Engineering Planned studies / collection of papers, No. 6, pp. 177-184, 1988. ]. However, it may be other than the balanced allocation method. Next, data for each passenger is acquired (step 603), and the place waiting for the train in the passenger's home and the travel route between the passenger's ticket gate and the home are estimated using the passenger's utility function and logit model (step 604). ). Next, with reference to the estimated passenger behavior and the location where the advertising space is installed, it is determined whether the advertising space has been passed (step 605). The judgment method is whether the passenger is passing in front of the passage where the advertising space is installed. If it has passed through the advertising space, it is counted as the number of people in contact with the advertisement (step 606). These operations are performed for all passengers (step 607), and the number of advertisement contacts is calculated.

Hereinafter, the estimation method using the passenger utility function and the logit model in step 604 will be described. The logit model used in step 604 is used in the non-aggregation analysis of traffic demand prediction, and is a model based on the assumption that the passenger selects the most desirable option from the available options according to getting on and off. A method for calculating a route selection probability using a logit model will be described using an example in which one is selected from two routes. Suppose that there are two routes A and B from a point X to a destination Y. Here, when utility value U _A when route A is selected, utility value U _B when route B is selected, probability P (A) that a passenger selects route A at point X, and The probability of selecting the route P (B) is calculated as follows: Where e is the base of the natural logarithm.

  In step 604, the utility value of the route that can be selected by the passenger is calculated, and the logit model is applied to the utility value to estimate the place waiting for the train in the passenger's home and the travel route between the passenger's ticket gate and the home.

  Hereinafter, a method for estimating a place waiting for a train in a passenger's home will be described with reference to the flowchart of FIG. The advertisement evaluation unit 103 lists all the places where the passenger waits for the train in the home (step 701). Listed locations include the location of the train door when the train stops. Next, the utility value of the passenger for each place is calculated (step 702). The formula for calculating utility values is as follows.

Utility value = 1 / (Distance to staircase at boarding station + α x Distance to staircase at exit station)
Here, α is a weight of the distance from the staircase at the disembarking station with respect to the distance from the staircase at the boarding station, and is a value specified by the advertisement space manager. If α> 1, it means that when getting off the train, it becomes easier to move near the stairs at the getting-off station in order to reduce the walking distance to the stairs. On the other hand, if α <1, it means that it does not move much from the stairs of the boarding station. Next, using the utility value and logit model of each place, the probability that the passenger will select that place is calculated (step 703). The passenger decides where to wait for the train in the passenger's home according to this probability.

A similar estimation method can be applied to the estimation of the travel route between the passenger's ticket gate and the platform. Passengers list all travel routes between passenger ticket gates and platforms. Next, passenger utility values for all travel routes are calculated. Here, the utility value is given by the following equation. (Utility value) = 1 / {(Movement time) + α × (Number of stairs) + (Congestion resistance of travel route)}
Here, α is the weight of the number of stairs with respect to the travel time, and is a value specified by the railway company. For example, when α = 3.0, it is worth the inconvenience of 3 minutes to go up and down the stairs once. The travel route congestion resistance is obtained by converting the inconvenience of the passengers felt due to the travel route congestion into the travel time, and is a value defined by the advertising space manager. Next, using the utility value and logit model of each travel route, the probability that the passenger will select that travel route is calculated. The passenger determines the travel route between the ticket gate and the platform according to this probability.

  As described above, it is possible to estimate the behavior for each passenger, so it is possible to determine whether the passenger has passed the advertising space.

  The evaluation item of the third advertising space includes the number of people who recognized the advertisement (advertisement recognition number). The method of determining the number of people who contacted the advertisement was evaluated based on whether the passenger was passing in front of the passage where the advertising space was installed, but in reality the location of the advertising space, the type of advertising medium, the width of the passage, etc. The rate at which passengers recognize advertisements varies. Therefore, the proportion of passengers who have passed through the passage where the advertising space is installed for each advertising space (advertising recognition rate) is the passenger questionnaire, the location of the advertisement, the width of the passage where the advertising space is installed, etc. From the above, the advertisement space manager arbitrarily gives in advance and calculates the number of advertisement recognition using the given advertisement recognition rate.

(Advertising awareness) = (Advertising recognition rate) x (Advertising contact number)
It becomes.

Evaluation based on the ratio of the number of people who responded to the advertisement can be given as an evaluation item of the fourth advertising space. In the present invention, if the number of passengers that have responded to an advertisement is given for each advertising space, the advertisement evaluation unit 103 can extract the proportion of passengers that have responded to the advertisement and the passenger attributes that are likely to react to the advertisement. Here, the number of passengers who responded to the advertisement can be calculated by the number of passengers (advertising access count) obtained by holding a non-contact IC tag or the like over the posted advertisement or by accessing from a mobile terminal. It is possible to calculate the proportion of passengers who have responded to an advertisement (advertising reaction rate) using the number of advertisement accesses and the number of people who have contacted the advertisement. Where (Ad response rate) = (Ad access count) / (Ad contact number)
It becomes. The value of the advertising reaction rate calculated here varies depending on the content of the posted advertisement, and is not strictly an evaluation of the advertising space. However, since this is an index representing the advertising space characteristic, the advertising response rate is treated as an evaluation of the advertising space for convenience.

  The advertisement evaluation unit 103 calculates the evaluation of the advertisement space installed in the station premises and the train using the above advertisement evaluation method, and accumulates the calculated result in the advertisement evaluation result DB 105.

  The advertisement fee setting unit 106 sets an advertisement fee according to the advertiser's demand. As a fee setting according to the demand of the advertiser, a fee setting applying a revenue management method can be mentioned. Here, the rate setting that applies the revenue management method is to appropriately manage the customer's demand by assigning an appropriate price at an appropriate time to an asset whose value will be zero over time. Is a technology for improving profitability. For example, McGill, J.I. and Van Ryzin, G.J .: “Revenue Manegement Research Overview and Prospects”, Transport Science, Vol 33, No 2, pp 233-256, 1999. The fee setting using the revenue management method is mainly performed by airline or train seat reservation, event ticket reservation, etc., and the revenue management method can also be applied to the reservation of advertising space. However, in order to apply revenue management techniques to inventory reservations, it is necessary to estimate the number of advertisers that want to appear in certain conditions of inventory. Currently, the conditions are determined based on the price of the inventory. Or we have to decide the conditions based on experience and intuition. However, because the ad space characteristics differ depending on the ad space, such as the ad space with a large number of people in contact with men in their twenties and the ad space with a large number of people in contact with women in their 40s, predictions based on the above conditions improve accuracy. We can't expect it, so we can't expect to improve profits. Therefore, the advertising fee setting unit 106 calculates the characteristics for each advertising space using the information accumulated in the advertising evaluation result DB 105, segments the advertising space with similar advertising space characteristics, and applies the segmented advertising space to the segmented advertising space. Estimate demand and set a fee that applies revenue management.

  Hereinafter, a method for segmenting the advertising space will be described with reference to the flowchart of FIG.

  The advertisement space manager designates the survey target range of the data to be referred for segmentation and the evaluation items of the advertisement space used as the classification criteria (step 801). Items stored in the advertising space management information DB 104 may be used as classification criteria. The advertisement fee setting unit 106 acquires the evaluation value of the item designated by the advertisement space manager in the survey target range from the advertisement evaluation result DB 105 (step 802). The advertising fee setting unit 106 segments the advertising space using the acquired evaluation value (step 803). Existing methods such as the k-means method and the aggregation method are applied to the segmentation method. Thereby, the segment of the advertising space corresponding to the evaluation tendency of the advertising space is formed. For example, a segment with a large number of advertising contacts for men in their 20s and a segment with a high ad response rate for women in their 30s. In the following, the number of advertisers who wish to place advertisements in each segment is predicted, and the advertising fee is set by applying a revenue management method. This makes it possible to set an advertising fee according to the advertiser's demand, and the advertising space manager can expect an increase in profit.

  When the advertiser requests the insertion of an advertisement, the advertisement space proposing unit 107 searches for an advertisement space suitable for the condition when the advertiser inputs an advertiser need such as a passenger attribute to be advertised.

  Hereinafter, the advertising space proposal unit 107 will be described with reference to the flowchart of FIG. The advertising space proposing unit obtains the scheduled insertion date and the advertiser needs input by the advertiser (step 901).

  FIG. 10 is an example of an input diagram displayed when the advertiser needs to input the advertiser needs. Advertisers want to advertise, such as scheduled publication date (scheduled publication period), passenger attributes (eg gender, age, address, occupation) and traffic usage patterns (eg nearest station, use station, use time zone) Enter primary needs. The advertisement space proposing unit 107 acquires the evaluation value of the advertisement space of the past publication date similar to the scheduled publication date and the day of the week, season, weather, and the like from the advertisement evaluation result DB 105 (step 902). The day of the week and the season can be obtained, for example, by searching from a DB that accumulates calendars using the scheduled date of publication as a key. The weather is obtained from, for example, an external weather information server. Here, in order to determine whether the scheduled posting date is similar to the past posting date, the conditions determined by the advertising space manager or the advertiser are registered in advance. In addition to the day of the week, the season, and the weather, the information is preferably information that affects the number and ratio of passengers, such as the temperature and the presence or absence of events in or around the station. Next, the advertising space proposing unit calculates the advertising space characteristics based on the acquired evaluation value of the advertising space, and calculates the degree of suitability with the advertiser needs (step 903). Here, the advertising space characteristic is determined by what kind of passenger attribute passes through the advertising space. However, since the number of people who contact the advertising space for each passenger attribute differs depending on the day of the week, season, weather, and the presence or absence of events around the station, etc., the past posting dates that have similar trends to the scheduled posting date acquired in step 902 The number of advertisement contacts by passenger attribute is used as the advertisement frame characteristic. Here, if there are a plurality of relevant past publication dates, the average value is used as the advertisement frame characteristic. The advertising space proposal section searches for passenger attributes and traffic usage patterns that match or are similar to the advertiser needs entered by the advertiser for each advertising space, and determines the number of people who contacted the passenger attributes to the degree of suitability between the advertiser needs and the advertising space characteristics. And Here, the number of people who contacted the advertisement is used as the fitness level, but it is also possible to calculate the advertisement cost per person who contacts the advertisement and use it as the fitness level. As described above, the adaptability between the advertiser needs and the advertising space characteristics can be calculated. The advertising space proposing unit 107 calculates the matching level of all the advertising spaces, and outputs the advertising space with the high matching level and the matching level to the advertiser (step 904).

  FIG. 11 shows an example of an output diagram. Here, the advertising space up to the top four with the highest fitness is output. The advertiser uses the result displayed in the advertisement space proposal unit 107 to determine the advertisement space in which the advertisement is to be posted. Thereby, the advertiser can acquire an effective advertising space by the advertising space proposing part.

  In the advertising space management support unit 109, when the advertising space manager promotes the advertising space (empty space) for which no reservation has been made to the advertiser, the advertising space management is performed on the information of the advertiser who seems to have a high response to the empty space. To provide The advertising space manager can use the information to effectively promote the sales of empty space. Here, the advertiser information is stored in the advertiser posting performance DB 108.

  Hereinafter, a description will be given with reference to the flowchart of FIG. The advertising space operation support unit 109 acquires information on advertisers that can be promoted from the advertiser posting performance DB 108 (step 1201). The advertising space operation support unit 109 predicts the advertiser needs for each acquired advertiser that can be promoted (step 1202). If an advertiser that can be promoted has previously posted an advertisement, the advertiser needs when the advertisement is posted are acquired from the advertiser posting performance DB 108. If the advertiser that can be promoted has not previously posted an advertisement, the advertiser needs similar to the advertiser (for example, the same industry) are acquired from the advertiser posting performance DB 108. The advertising space sales promotion activity support unit calculates the degree of fit between the needs and the characteristics of the empty space (step 1203). The method for calculating the degree of matching between the advertiser needs and the characteristics of the empty frame uses the same method as the method for calculating the degree of matching performed by the advertising space proposing unit. This is performed for all the advertisers that can be promoted (step 1204), and the advertiser with a high degree of fitness is output to the advertisement space manager (step 1205). The advertising space manager conducts promotional activities for advertisers who have a high degree of conformity with the characteristics of the empty space. As a result, the advertising space manager can effectively operate the advertising space.

  In addition, the advertising space operation support unit 109 extracts the advertising space that should be extended by changing the advertising period or changing the advertising space by using the evaluation of the advertising space in which the advertisement is posted, and puts the advertising in the advertising space. The posted advertiser is output to the inventory manager. The advertising space manager conducts promotional activities such as extending the advertising period and changing the advertising space to the output advertiser. In the following cases, the reason for proposing the extension of inventory placement or the change of inventory is when the evaluation of the inventory does not match the advertiser's needs and when the advertising response rate of the passenger attribute that is different from the advertiser's needs is high State.

  FIG. 13 is a flowchart of the processing when the evaluation of the advertising space does not match the advertiser needs. The advertising space manager designates the advertising space (step 1301), and the advertising space operation support unit 109 obtains the advertiser needs input when the advertisement is placed from the advertiser posting performance DB 108 for the designated advertising space. (Step 1302). Next, the evaluation of the advertisement space corresponding to the advertiser needs is acquired from the advertisement evaluation result DB 105 (step 1303). It is determined whether the evaluation of the advertising space acquired in step 1303 is larger than the value specified by the advertising space manager (step 1304). Examples of the value specified by the advertising space manager include an average value of evaluation of other advertising space. Next, when it is determined to be small in step 1304, it is determined that the advertising space of the posted advertisement does not match the advertiser's needs, and evaluation of the advertising space (empty frame) that has no reservation on the scheduled date of posting is evaluated. A high advertisement space is extracted (step 1305). If it is determined in step 1304 that it is large, it is determined that the advertising space of the posted advertisement matches the advertiser's needs. The advertising space operation support unit 109 outputs the result to the advertising space manager (step 1306).

  FIG. 14 is a flowchart of processing when the advertisement response rate of the passenger attribute different from the advertiser needs is high. The advertising space manager designates the advertising space (step 1401), and the advertising space operation support unit 109 obtains the advertiser needs input when the advertisement is placed from the advertiser posting performance DB 108 for the designated advertising space. (Step 1402) Passenger attributes having a high advertisement response rate are acquired from the advertisement evaluation result DB 105 (Step 1403). Next, it is determined whether the acquired passenger attribute matches the advertiser needs (step 1404). If they do not match, the ratio of the number of contact persons with the advertisement attribute acquired in step 1403 to the total number of contact persons in the advertisement space in the advertisement space (empty space) that has no reservation on the scheduled publication date An advertising space with a high is extracted (step 1405). The advertising space operation support unit 109 outputs the result to the advertising space manager (step 1406).

  The advertisement space operation support unit 109 proposes to the advertiser extracted as described above to extend the advertisement insertion period, change the advertisement space, or the like. Further, the result can be output to the advertiser by the advertisement space proposing unit 107 to prompt the advertiser to extend the advertisement insertion period or change the advertisement space. As a result, the advertising space manager can perform effective sales promotion activities for the advertiser who has posted the advertisement.

  Further, the advertising space operation support unit 109 builds a table as shown in FIG. 15 from the information accumulated in the advertising evaluation result DB 105 and the advertising space management information DB 104, and uses existing methods such as a statistical method and a correlation rule extraction method. Perform analysis using. The advertising space operation support unit 109 supports the advertising space management planning by the advertising space manager based on the analysis result. Thus, for example, it is possible to provide the advertising space manager with information on what kind of advertiser should be actively engaged in sales promotion based on the tendency of evaluation of advertising space that tends to become empty. A flowchart of this example is shown in FIG. First, the advertising space operation support unit 109 acquires the period to be investigated specified by the advertising space manager (step 1601), and acquires the operation status of the investigation target period from the advertising space management information DB 104 (step 1602). Next, the advertising space that is likely to become an empty space of the advertising space and the advertising space that is not so are classified from the operational results of the advertising space (step 1603). The classification method may be the proportion of the ad space that was empty during the survey period. Next, an association rule extraction method is applied to extract an evaluation item of an advertising space that can accurately classify an advertising space that is likely to be an empty space and an advertising space that is not so (step 1604). When the correlation rule extraction method is used, it is possible to extract a rule such as “an advertisement frame with an evaluation that the number of 20-year-old male advertisement contacts is 10,000 or more tends to be an empty frame”. The advertising space operation support unit 109 outputs the extracted rules to the advertising space manager (step 1605). The advertisement space manager makes an operation plan for an advertisement space that tends to become empty based on the displayed rules. For example, if a rule such as “Advertisement with a large number of people in 20's who are in contact with advertising tends to be empty” is extracted, an operation plan such as proactively conducting sales activities for magazine advertisers targeting men in their 20s. It becomes possible for the advertising space manager to make an effective operation plan based on the tendency of the empty space.

  As mentioned above, although the railway advertisement was shown as an example for the traffic advertisement operation management system of the present invention, the present invention can be applied to advertisements posted on transportation such as ships, airplanes and toll roads in addition to the railway advertisement. Can do.

  The present invention is used when an advertisement is displayed on a display arranged at a station.

It is the whole structure of a traffic advertisement operation management system. This is the configuration of the boarding / exit history DB. This is the configuration of the advertising space management information DB. It is a structure of advertisement evaluation result DB. This is the composition of the advertiser performance database. It is explanatory drawing of the calculation method of an advertisement contact number. It is explanatory drawing of the estimation method of the place which waits for a train in a platform. It is explanatory drawing of the segmentation method of an advertising space. It is explanatory drawing of an advertising space proposal method. It is an input figure at the time of an advertiser inputting search conditions with an advertising space proposal method. It is an output figure displayed on an advertiser by an advertising space proposal method. It is explanatory drawing of the method of extracting the advertiser with a high response with respect to the sales promotion of an empty frame. It is explanatory drawing of the method of displaying the advertiser with which the evaluation of the advertising space with which advertisement is published, and an advertiser's needs do not correspond with an advertising space manager. It is explanatory drawing of the method of displaying the advertiser which has published the advertisement with the high advertisement reaction rate of the passenger attribute different from advertiser needs to an advertising space manager. It is a figure showing the table which collected and arranged information on advertising space. It is explanatory drawing of the analysis method of an advertising space.

Explanation of symbols

100 Railway Ad Operation Management System 101 Boarding / Exiting History Collection Unit 102 Boarding / Exiting History DB
103 Advertisement Evaluation Unit 104 Advertisement Space Management Information DB
105 Ad Evaluation Result DB
106 Advertising Fee Setting Unit 107 Advertising Space Proposal Unit 108 Advertiser Performance Record DB
109 Advertising Space Operation Support Unit 110 Ticket Gate 111 Advertising Fee Setting Terminal 112 Advertising Space Search Terminal 113 Advertising Space Sales Promotion Support Terminal

Claims (2)

In a system for managing the operation of advertisements that are placed in transportation locations,
It is a passenger's use history of the ticket gate in the transportation system, which is the use date / time, station ID, equipment ID, and ticket ID for each passenger, and the attribute information of the passenger is given to the ticket ID. A history DB that stores a use history including a ticket ID and usage details, and an advertisement placement position in the usage location;
The use history in the history DB is used to estimate which train each passenger has used, and on the platform where the passenger waits to use the estimated train and from the ticket gate, the home And determining whether the passenger has passed the passage in which the advertising space is installed based on the determined moving route and the placement position of the advertisement. When it is determined that the passage has been installed, the number of contacted advertisements is incremented by one, recorded in the advertisement evaluation result DB of the system , and counted as the number of contacted advertisements by the number of contacted advertisements. and advertisement evaluation unit passengers to calculate the advertisement reaction rate calculated by dividing the number of accesses to the advertisement, as the evaluation value of the inventory for each of the ads counted passenger attribute information as a contact number,
From the evaluation value of the advertising space calculated by the advertising evaluation unit and accumulated in the advertising evaluation result DB, the evaluation value designated by the advertising space manager is extracted, and using the extracted evaluation value, the advertising space of the advertising space is extracted. An advertising fee setting unit that applies a revenue management method to calculate a set amount of an advertising fee by performing segmentation processing and performing demand forecast for the segmented advertising space ;
An advertising operation management system characterized by comprising: In a computer-based method for managing the operation of advertisements posted in transit locations,
The computer includes, in the history DB of the computer, the use history of the ticket gates in the transportation system of passengers, the use date and time, station ID, equipment ID, and ticket ID for each passenger, and the ticket In the ID, a use history including a ticket ID to which the passenger's attribute information is assigned and use contents, and an advertisement placement position in the use place are accumulated,
The advertisement evaluation unit of the computer estimates which train each passenger has used using the usage history in the history DB, and on the home where the passenger waits to use the estimated train The travel route including the place and the route from the ticket gate to the home is determined, and the passenger passes through the passage in which the advertising space is installed based on the determined travel route and the posting position of the advertisement. If it is determined that it has passed through the passage where the advertisement space is installed, the number of advertisement contacts is increased and recorded, and the number of advertisement contacts is counted as the number of advertisement contacts. Calculates an advertising response rate calculated by dividing the number of times the user has accessed the advertisement as an evaluation value of the advertising space for each attribute information of the passenger counted as the number of people who contacted the advertisement ,
The computer accumulates the evaluation value of the advertising space calculated by the advertisement evaluation unit in the advertisement evaluation result DB of the computer,
The advertising fee setting unit of the computer extracts an evaluation value designated by the advertising space manager from the evaluation value of the advertising space in the advertising evaluation result DB, and uses the extracted evaluation value to extract the advertising space. An advertisement operation management method characterized by performing a segmentation process and executing a demand forecast for the segmented advertisement space to calculate a set amount of an advertisement fee by applying a revenue management method.

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