JP2020194278A - Information processing system, data processing program, data processing apparatus, and data processing method - Google Patents

Abstract

To provide an information processing system, an information processing program, an information processing apparatus, and an information processing method capable of grasping travel dynamics of a plurality of travelers at a glance.SOLUTION: In an information processing system 100 in which a server 30, an analysis terminal 20, and a traveler's terminal 10 are connected via a network 40, the server is provided with a data generator that generates travel dynamics data in analysis target areas indicating travel dynamics based on analysis data including location history information of a plurality of travelers and traveler's attribute information for each of the plurality of travelers, and analysis indexes. The analysis terminal is provided with an output control unit that uses the travel dynamics data to display the travel dynamics on a map including the analysis target areas on a display unit so that the travel dynamics can be easily grasped visually.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing system, an information processing program, an information processing device, and an information processing method.

The number of foreign tourists visiting Japan has been steadily increasing in recent years, and there are movements nationwide to establish a Japanese version of DMO (Destination Management / Marketing Organization). DMO is an organization that collaborates with local communities to formulate strategies for realizing tourism area development based on a clear concept. Under these circumstances, there is an increasing need to accurately and from various angles the travel dynamics of travelers such as foreign tourists visiting Japan.

Conventionally, there is known a system that uses the positioning information of a mobile terminal to determine a facility that a traveler has stopped by and generates traveler flow line information (Patent Document 1). However, it is not possible to grasp the travel dynamics of multiple travelers at a glance, or to grasp the travel dynamics from various perspectives such as the nationality of foreign travelers, the number of visits to Japan, and the time of visit to Japan. It was not easy to consider measures that would be useful for.

Japanese Unexamined Patent Publication No. 2006-262189

The present invention provides an information processing system, an information processing program, an information processing device, and an information processing method capable of grasping the travel dynamics of a plurality of travelers at a glance.

The information processing system according to the present invention
Data generation that generates travel dynamic data showing travel dynamics in the analysis target area based on analytical data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers, and an analysis index. Means and
Using the travel dynamic data, an output control means for displaying the travel dynamic on a map including the analysis target area so that the travel dynamic can be visually grasped, and an output control means.
It is characterized by having.

According to the present invention, the travel dynamics of a plurality of travelers can be grasped at a glance.

It is a figure which shows the schematic structure of the information processing system which concerns on embodiment. It is a figure which shows the schematic structure of the traveler terminal which concerns on embodiment. It is a figure which shows the schematic structure of the analysis terminal which concerns on embodiment. It is a figure which shows the schematic structure of the server which concerns on embodiment. It is a sequence diagram which shows an example of the processing operation which concerns on the registration of the questionnaire information between a traveler terminal and a server of the information processing system which concerns on embodiment. This is an example of a questionnaire information input screen displayed on the traveler terminal according to the embodiment. This is an example of a route search condition input screen displayed on the traveler terminal according to the embodiment. It is a sequence diagram which shows an example of the processing operation which concerns on the generation of analysis data between a traveler terminal and a server of the information processing system which concerns on embodiment. It is a figure which shows an example of the initial processing data which concerns on embodiment. It is a figure which shows an example of the analysis data which added the column for aggregation. It is a sequence diagram which shows an example of the processing operation which concerns on the analysis processing of a travel dynamics between an analysis terminal and a server of the information processing system which concerns on embodiment. Following FIG. 11A, it is a sequence diagram showing an example of the processing operation related to the analysis processing of travel dynamics between the analysis terminal and the server of the information processing system according to the embodiment. This is an example of a display screen before the analysis index is specified, which is displayed on the analysis terminal according to the embodiment. This is a first example of a display screen after designating an analysis index, which is displayed on the analysis terminal according to the embodiment. This is a second example of a display screen after designating an analysis index, which is displayed on the analysis terminal according to the embodiment. This is a third example of a display screen after designating an analysis index, which is displayed on the analysis terminal according to the embodiment. (A) is an example of a screen for displaying the number of positioning travelers for each mesh, and (b) is an example of a screen for displaying the number of staying travelers for each mesh. This is an example of a screen that displays the number of staying travelers in the analysis target area by time. This is an example of a screen that displays issues based on the comparison results of travel dynamics between multiple areas included in the analysis target area. This is an example of a screen that displays the number of travelers who visited the analysis target area according to the number of visits. (A) is an example of a screen for displaying the number of short-term stay travelers for each mesh, and (b) is an example of a screen for displaying the number of long-term stay travelers for each mesh. This is an example of a screen that displays the results of association analysis between Hakone Town and other cities, wards, towns and villages. This is an example of a screen that displays the percentage of travelers and travel time. This is an example of a screen that visually and easily grasps the order of visits by travelers. This is an example of a screen related to flow analysis in South Kanto. This is an example of a screen that displays the amount of consumption in the analysis target area for each mesh.

Hereinafter, embodiments according to the present invention will be specifically described with reference to the drawings.

<Information processing system>
First, a schematic configuration of the information processing system 100 according to the embodiment will be described with reference to FIG. The information processing system 100 includes a plurality of traveler terminals 10, an analysis terminal 20, a server 30, and a network 40.

The traveler terminal 10 is an information processing device carried by the traveler, and transmits information such as the location information of the traveler to the server 30. The traveler terminal 10 is, for example, a mobile terminal such as a smartphone, a tablet terminal, or a notebook computer.

As shown in FIG. 1, the traveler terminal 10 and the server 30 are connected to each other so as to be able to communicate with each other via a network 40 such as the Internet. The network 40 may be either a wired line or a wireless line, and the type and form of the line are not limited.

The analysis terminal 20 is a terminal for analyzing the travel dynamics of a plurality of travelers. For example, the analysis terminal 20 displays the travel dynamics on a map so that it can be visually easily grasped based on the travel dynamics data received from the server 30. For example, the analysis terminal 20 displays a map and travel dynamics on the Web. The analysis terminal 20 is, for example, a desktop personal computer, a notebook personal computer, a tablet terminal, a smartphone, or the like.

As shown in FIG. 1, the analysis terminals 20 are communicably connected to the server 30. The number of analysis terminals 20 is not limited to one, and a plurality of analysis terminals 20 may be provided. Further, the analysis terminal 20 may be connected to the server 30 from a remote location via the network 40.

As will be described in detail later, the server 30 generates analytical data used for generating travel dynamic data based on position information and traveler attribute information received from a plurality of traveler terminals 10. The traveler attribute information is information indicating the attributes of the traveler, for example, the nationality of the traveler, the region of origin (Asia, Europe, America, Australia, etc.), the number of visits (the number of visits to Japan in the case of foreign travelers), the language used, etc. Is.

The server 30 generates travel dynamic data indicating the travel dynamics of a plurality of travelers based on the analysis data and the analysis index received from the analysis terminal 20.

The analytical index is, for example, related to traveler attribute information. As will be described in detail later with a specific example, the analysis index may be a passing user index, a staying user index, a time-based index, a staying days-based index, or the like, in addition to those related to the traveler attribute information. Further, the analysis index designated by the analysis terminal 20 is not limited to one, and may be plural.

In the present embodiment, the server 30 is configured as one information processing device, but the information processing system 100 may have a plurality of servers that can communicate with each other. For example, the information processing system 100 may have a first server that generates analysis data and a second server that generates travel dynamic data.

Next, detailed configurations of each of the traveler terminal 10, the analysis terminal 20, and the server 30 will be described in order.

<Traveler terminal>
The details of the traveler terminal 10 carried by the traveler will be described with reference to FIG.

The traveler terminal 10 includes a control unit 11, a communication unit 12, a storage unit 13, an operation input unit 14, a display unit 15, and a positioning unit 16.

The control unit 11 has an information acquisition unit 111 that acquires various information via the operation input unit 14 and the like, and an output control unit 112 that controls the display unit 15. The output control unit 112 may control not only the display unit 15 but also the audio output means (speaker) included in the traveler terminal 10.

In the present embodiment, each unit of the control unit 11 is realized by the processor in the traveler terminal 10 executing a predetermined program. At least a part of each part of the control unit 11 may be realized by hardware.

The communication unit 12 is an interface for transmitting and receiving information to and from the server 30 via the network 40.

The storage unit 13 stores data transmitted and received via the communication unit 12. In addition, the storage unit 13 may store a program executed by the control unit 11 and data necessary for processing by the program. The storage unit 13 is composed of a storage device such as a semiconductor memory (SSD or the like) or a hard disk.

The operation input unit 14 is an interface for the user of the traveler terminal 10 to input information, and is an information input means such as a touch panel, a keyboard, a mouse, a microphone (a built-in microphone of a mobile terminal, etc.).

The display unit 15 is a video display means such as a liquid crystal display or an organic EL display, and outputs various information to the user of the traveler terminal 10. When the display unit 15 is a touch panel, the display unit 15 may also serve as the operation input unit 14.

The positioning unit 16 positions and acquires the current position of the traveler terminal 10, and is configured by positioning means such as GPS (Global Positioning System) and WiFi positioning to position the current position of the traveler terminal 10.

The information acquisition unit 111 of the control unit 11 acquires user input information (questionnaire information and the like described later) via the operation input unit 14, and also acquires information transmitted from the server 30 via the communication unit 12. The position information of the traveler terminal 10 is acquired via the positioning unit 16.

Even if the positioning unit 16 is not provided on the traveler terminal 10 or the positioning unit 16 is not in a usable state, the information acquisition unit 111 is communicably connected to the traveler terminal 10. Location information may be acquired from other devices such as a Wifi router.

<Analysis terminal>
Next, the details of the analysis terminal 20 used for the analysis of travel dynamics will be described with reference to FIG.

The analysis terminal 20 includes a control unit 21, a communication unit 22, a storage unit 23, an operation input unit 24, and a display unit 25.

The control unit 21 has a reception unit 211 and an output control unit 212 that controls the display unit 25.

The reception unit 211 receives at least one analysis index via the operation input unit 24.

The output control unit 212 uses the travel dynamics data received from the server 30 to display the travel dynamics on the map including the analysis target area on the display unit 25 so that the travel dynamics can be easily visually grasped. Here, the analysis target area is an area to be analyzed for travel dynamics, for example, an administrative world such as a prefecture or a municipality, or a region such as the metropolitan area, Kinki, Chugoku / Shikoku, etc. The analysis target area is not limited to one, and may be multiple.

As shown in the screen example described later, the analysis terminal 20 displays, for example, a heat map display, a bar graph, a pie chart, or the like so that the travel dynamics of a plurality of travelers can be grasped at a glance.

The output control unit 212 may control not only the display unit 25 but also the audio output means (speaker) included in the analysis terminal 20.

In the present embodiment, each part of the control unit 21 is realized by the processor in the analysis terminal 20 executing a predetermined program, but at least a part of each part of the control unit 21 may be realized by hardware. ..

The storage unit 23 stores data transmitted and received via the communication unit 22. In addition, the storage unit 23 may store a program executed by the control unit 21 and data necessary for processing by the program. The storage unit 23 is composed of a storage device such as a semiconductor memory (SSD or the like) or a hard disk.

The operation input unit 24 is an interface for the user of the traveler terminal 10 to input information, and is an information input means such as a keyboard, a mouse, a touch panel, and a microphone (such as a built-in microphone of a mobile terminal).

The display unit 25 is a video display means such as a liquid crystal display or an organic EL display, and outputs various information to the user of the analysis terminal 20. When the display unit 25 is a touch panel, the display unit 25 may also serve as the operation input unit 24.

<Server>
Next, with reference to FIG. 4, the details of the server 30 that generates the analysis data and the travel dynamic data will be described.

The server 30 includes a control unit 31, a communication unit 32, and a storage unit 33.

The control unit 31 includes a data generation unit 311, an analysis unit 312, and an information output unit 313.

The data generation unit 311 generates travel dynamic data showing the travel dynamics of a plurality of travelers in at least one analysis target area based on the analysis data and the analysis index.

The analysis data is data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers. Here, the position history information is information (GPS log, etc.) indicating the position history of the traveler terminal 10, and is acquired from the traveler terminal 10.

The traveler attribute information includes at least one of questionnaire information and incidental information. The traveler attribute information is not limited to the case where the questionnaire information or the incidental information itself is included, and may include the questionnaire information and / or the information based on the incidental information. For example, the nationality of a traveler may be estimated based on questionnaire information on the language used or religion, and the traveler attribute information may include the estimated nationality.

Here, the questionnaire information is the information answered by the traveler. This questionnaire information is, for example, information about itself input via an application such as a route search / multilingual tourist information application for travelers or a website. The questionnaire information may include information on gender, nationality, number of visits, purpose of visit, age, and the like. Specific purposes of the visit include meals, accommodation, hot springs, sightseeing, walking around town, shopping, museums, golf, theme parks, skiing / snowboarding, Kabuki, sumo wrestling, and medical care. Each item may be further subdivided. For example, meals may be divided into detailed items such as "eating Japanese food" and "drinking Japanese sake".

In addition to the above, the questionnaire information includes the language used by the traveler, region of origin (Europe, Asia, North America, etc.), religion (eating habits, prayers, etc.), number of visitors (individual or group may be selected), It may include information on whether or not you live in Japan, entry airport, departure airport, etc.

Ancillary information is information derived from position history information. This incidental information includes, for example, information on the length of stay, accommodation location, and the like. The position where the last position was determined within the night time zone (21:00 to 3:00, etc.) may be used as the accommodation place for incidental information.

When the travel dynamics of foreign visitors to Japan (inbound) are to be analyzed, it is preferable that the traveler attribute information includes at least nationality.

The analysis unit 312 analyzes the travel dynamics based on the travel dynamics data.

The information output unit 313 outputs the information generated by the data generation unit 311 and the analysis unit 312 to the analysis terminal 20 via the communication unit 32.

In the present embodiment, each part of the control unit 31 is realized by the processor in the server 30 executing a predetermined program, but at least a part of each part of the control unit 31 may be realized by hardware.

The communication unit 32 is an interface for transmitting and receiving information between the traveler terminal 10 and the analysis terminal 20.

The storage unit 33 stores data transmitted and received via the communication unit 32. In addition, the storage unit 33 may store a program executed by the control unit 31 and data necessary for processing by the program. The storage unit 33 is composed of a storage device such as a semiconductor memory (SSD or the like) or a hard disk. The storage unit 33 may be provided on another server that is communicably connected to the server 30.

The storage unit 33 stores analysis data 331 and various master data 332.

The analysis data 331 is data generated by the data generation unit 311 and includes, as described above, position history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers (FIG. 10). reference).

Master data 332 is data used for processing position history information (and traveler attribute information). For example, an area in which position information (latitude / longitude) and area information (prefecture, city, ward, town, village, etc.) are associated with each other. There are masters, airport masters that associate location information with airport information, mesh masters that associate location information with mesh information, and so on. By referring to the area master, it is possible to know the area visited by the tourist. Also, by referring to the airport master, it is possible to know the airport used by travelers to enter and leave the country. Also, by referring to the mesh master, it is possible to know the mesh that the traveler has passed or stayed at.

<Registration process of questionnaire information>
Next, the processing flow between the traveler terminal 10 and the server 30 related to the registration processing of the questionnaire information will be described with reference to the flowchart of FIG.

First, the display unit 15 of the traveler terminal 10 displays the questionnaire information input screen (step S11). More specifically, the output control unit 112 of the traveler terminal 10 reads out the information necessary for generating the questionnaire information input screen from the storage unit 13, and causes the display unit 15 to display the questionnaire information input screen.

FIG. 6 shows an example of a questionnaire information input screen displayed on the traveler terminal 10 (here, a smartphone). This screen is displayed on the display unit 15 when the route search / multilingual tourist information application for foreign visitors to Japan is first started. The user can select the gender by tapping the tab T1. Similarly, the nationality can be selected by tapping tab T2, the number of visits to Japan can be selected by tapping tab T3, and the purpose of visit can be selected by tapping tab T4. After answering these questionnaires, the user can send the questionnaire information by tapping the button B1.

After displaying the questionnaire information input screen, the control unit 11 determines whether or not the questionnaire information has been input (step S12). Specifically, it is determined whether or not the button B1 has been tapped. When the button B1 is tapped (S12: Yes), the process proceeds to step S13, and the control unit 11 transmits the questionnaire information to the server 30 via the communication unit 12 (step S13). The questionnaire information is transmitted together with the identification information (ID) of the traveler terminal 10.

After that, the control unit 31 of the server 30 receives the questionnaire information via the communication unit 32 and stores it in the storage unit 33 (step S21). At this time, the questionnaire information is stored in the storage unit 33 together with the identification information (ID) of the traveler terminal 10.

When the questionnaire is entered, the application usage screen is displayed. The screen shown in FIG. 7 shows a screen in which "Route" is selected in the menu M at the lower end of the screen, and is an input screen for route search conditions. On this screen, enter the starting point and the destination in the field F1. Tap button B2 to specify public transportation as a means of transportation, and tap button B3 to specify a car. The departure time is specified by tab T5, and other route search conditions are specified by tab T6. The toggle switch SW1 can search for a movement route that gives priority to movement by JR. When the button B4 is tapped after inputting or specifying the route search condition, the movement route from the departure point to the destination is searched and the candidate route is displayed.

This app is designed for foreign visitors to Japan, and when you tap "Explore" in Menu M, tourist information and articles for foreigners are displayed. If you tap "Spot", search menus such as travel information center, free WiFi spot, currency exchange / ATM, restaurant, station, baggage depository, etc. will be displayed.

<Analysis data generation process>
Next, the processing flow between the traveler terminal 10 and the server 30 related to the analysis data generation processing will be described with reference to the flowchart of FIG.

The traveler terminal 10 periodically transmits the location information to the server 30. More specifically, the control unit 11 determines whether or not the predetermined time has elapsed (step S31), and if the predetermined time has elapsed (S31: Yes), transmits the position information of the traveler terminal 10 to the server 30. (Step S32). The location information is transmitted together with the identification information of the traveler terminal 10. The location information is transmitted to the server 30 based on the approval or setting by the user. For example, the location information may be transmitted only when the application is started, or the location information may be transmitted even when the application is not started.

When the location information is transmitted from the traveler terminal 10, the control unit 31 of the server 30 receives the location information via the communication unit 32 and stores the location information in the storage unit 33 (step S41). In the present embodiment, as shown in FIG. 9, the position information is the questionnaire information stored in step S21 described above, and is stored in association with the questionnaire information of the same identification information. The data stored by associating the traveler attribute information having the same identification information with the position history information is called initial processing data. This initial processing data can also be said to be data in which a column related to traveler attribute information is added to the position history information.

Each time the position information is received from the traveler terminal 10, the server 30 adds the position information received from the traveler terminal 10 to the position history information.

The process of associating the location information received from the traveler terminal 10 with the questionnaire information (traveler attribute information) may be performed in step S43 described later. In this case, the initial processing data is generated by adding the traveler attribute information to the position history information such as the GPS log.

After storing the position information, the control unit 31 of the server 30 determines whether or not sufficient data has been accumulated based on a predetermined reference (step S42). This determination is made based on criteria such as whether or not position history information has been accumulated over a predetermined period (for example, one year), or whether or not a predetermined number of position information has been accumulated.

When it is determined that sufficient data has been accumulated (S42: Yes), the data generation unit 311 of the server 30 generates data for analysis (step S43). Specifically, the column of the item used at the time of aggregation is added to the initial processing data. For example, a column of attached data to be assigned based on the position information is added to the initial processing data. FIG. 10 shows analytical data with regional mesh code columns added for aggregation to identify the mesh. In addition, columns such as an address code indicating a prefecture or a city, an airport code indicating an entry airport or an departure airport may be added.

In addition, as a column for aggregation, a column of attached data to be assigned based on questionnaire information (nationality, number of visits to Japan, etc.) and a column of attached data to be assigned based on the acquisition time of location information (stay time, stay start flag, stay status, etc.) The start / end time of stay, length of stay, itinerary date, etc.) may be added to the initial processing data.

In addition, a plurality of columns may be added to the initial processing data as aggregation columns.

After adding the columns as described above, data for a predetermined aggregation period (for example, one year) may be extracted, and the extracted data may be used as analysis data.

<Travel dynamic analysis using an analysis terminal>
Next, the processing flow between the analysis terminal 20 and the server 30 related to the travel dynamics analysis processing will be described with reference to the flowcharts of FIGS. 11A and 11B.

First, the analysis terminal 20 displays the analysis index reception screen (step S51). More specifically, the output control unit 212 of the analysis terminal 20 reads out the information necessary for generating the analysis index reception screen from the storage unit 23, and causes the display unit 25 to display the analysis index reception screen.

FIG. 12 shows an example of the analysis index reception screen displayed on the analysis terminal 20. A tool window is displayed on the left side of the screen, and a map (Kinki region in this example) is displayed in the center and right side of the screen. By selecting button B5, the tool window can be displayed / hidden. By selecting the button B6, it is possible to switch the display / non-display of the legend / window showing the legend related to the display. Also, by selecting the button B7, the display / non-display of the map layer window can be switched. FIG. 12 shows a state in which the button B7 is selected.

On the screen of FIG. 12, the analysis index can be specified by selecting the check box of the map layer window. It is also possible to select multiple check boxes at the same time.

The map of FIG. 12 can be moved up / down / left / right by the direction key K, and can be enlarged / reduced by the zoom bar ZB. It is also possible to move the map by dragging the map with the pointer.

Here, the map layer window of FIG. 12 will be described in detail.

Check boxes are provided for each analysis index in the map layer window. The major categories are "1. View the whole picture", "2. View by index", and "3. View the details of the index". In FIG. 12, the middle part of "3. View the details of the index" is displayed, but the remaining part can be displayed by operating the scroll bar SB.

The first major category, "1. View the whole picture," includes "Stay by mesh (30 minutes-): All users for the entire period", "Positioning by mesh: All users for the entire period", and "Municipalities". There are four sub-category items: "Stay separately (30 minutes-): All users for all periods" and "Positioning by city, ward, town, and village: All users for all periods". Here, "stay (30 minutes-)" means to display the number of travelers who have stayed on the mesh for 30 minutes or more, and "positioning" displays the number of travelers who have been positioned on the mesh. Means to do.

The second major classification item, "2. View by index," has two middle classification items, "View by mesh" and "View by city, ward, town, and village." There are four sub-category items: "seasonal: all seasons", "nationality: all nationalities", "time zone: all time zones_graph", and "repeater: all types".

In the third major classification item, "3. View details of indicators", there are "regional", "time zone", "seasonal", and "repeater" as middle classification items. Note that "seasonal" and "repeater" are not displayed in FIG.

As sub-category items of "by region", "Asia" and "Europe, America and Australia" exist for each of "view by mesh" and "view by city, ward, town and village".

The sub-category items of "by time zone" are "morning (6-10 o'clock)", "noon (10-18 o'clock)", "night (18-23 o'clock)", "midnight (23 o'clock-6 next day)". "Time)" exists for each of "view by mesh" and "view by city".

As sub-category items of "seasonal", "spring", "summer", "autumn", and "winter" exist for each of "view by mesh" and "view by city".

As sub-category items of "by repeater", "first time" and "second and subsequent times" exist for each of "view by mesh" and "view by city".

After displaying the above analysis index acceptance screen, the control unit 21 of the analysis terminal 20 determines whether or not the analysis index has been accepted (step S52). In the case of the screen example of FIG. 12, it is determined whether or not the check box of the map layer window is selected. An analysis start button (not shown) may be provided separately, and when the button is selected, it may be determined that the analysis index has been accepted.

When the analysis index is accepted (S52: Yes), the analysis terminal 20 transmits the accepted analysis index to the server 30 (step S53). Then, the server 30 receives the analysis index via the communication unit 32 (step S61).

After the server 30 receives the analysis index, the data generation unit 311 of the control unit 31 shows the travel dynamics in the analysis target area based on the received analysis index and the analysis data generated in step S43. Data is generated (step S62). For example, when "Positioning by mesh: All users for all periods" is accepted as an analysis index, the data generation unit 311 is positioned in the area of the mesh for each mesh included in the map based on the analysis data. The number of travelers (users of the traveler terminal 10) is totaled. The unit to be aggregated is not limited to the mesh, and may be any unit such as a municipality or a prefecture. When counting the number of travelers for a certain mesh, the same ID is not counted twice as long as it stays within the area of the mesh.
As described above, the data generation unit 311 aggregates the analysis data with the analysis index as the aggregation axis and generates the travel dynamic data. The analysis data is aggregated at a level that cannot be identified by an individual and becomes travel dynamic data.

When analyzing the travel dynamics of foreign visitors to Japan (inbound), the data generation unit 311 may generate travel dynamics data using analysis data in which the nationality of the traveler attribute information is other than Japan. This makes it possible to accurately grasp the inbound travel dynamics.

In addition, when analyzing the travel dynamics of overseas individual travelers, so-called FIT (Foreign Independent Tour) travelers, the data generation unit 311 asks questions regarding the nationality of the traveler attribute information other than Japan and the number of visitors to the questionnaire. Travel dynamic data is generated using the data answered as "individual". This makes it possible to accurately grasp the travel dynamics of FIT travelers.

Further, when displaying a graph on a map as shown in FIGS. 14 and 15 described later, the data generation unit 311 generates graph data based on the aggregated data obtained by aggregating the analysis data and uses it as travel dynamic data. .. For example, graph data (Asia: XX%, Western Australia: XX%, etc.) is generated based on the aggregated results of data whose nationality is "Asia" and the aggregated results of data whose nationality is "Western Australia". To do.

After generating the travel dynamic data, the control unit 31 of the server 30 transmits the travel dynamic data to the analysis terminal 20 via the communication unit 32 (step S63). Then, the analysis terminal 20 receives the travel dynamic data via the communication unit 22 (step S54).

The analysis terminal 20 that has received the travel dynamic data displays the travel dynamics on a map including the analysis target area using the travel dynamic data (step S55). More specifically, the output control unit 212 of the analysis terminal 20 causes the display unit 25 to display the map and travel dynamics. Here, an example of a display screen will be described with reference to FIGS. 13 to 15. In each example, the map of the analysis target area is the same as in FIG.

FIG. 13 is a screen example when the check box CB1 of “Stay by mesh (30 minutes −): All users for all periods” is selected (that is, when the “stay user index” is accepted as the analysis index). A mesh of a predetermined size (here, 10 km) is displayed so as to be superimposed on the map including the analysis target area (Kinki region). In each mesh, the number of travelers who stayed for a predetermined time (30 minutes in this case) or more is displayed. The color of the mesh is changed according to the number of travelers like a heat map, and the mesh with a large number of travelers is displayed in a darker color.

The staying time may be arbitrarily changed by the user of the analysis terminal 20. In addition, the mesh in which the number of positioning travelers and the number of staying travelers is rapidly increasing may be highlighted or notified to that effect. In addition, the positioning traveler or the staying traveler may highlight and display the mesh observed for the first time, or notify the fact.

Even when the travel dynamics are displayed on the map as shown in FIG. 13, the analysis target area can be changed by moving the map or enlarging / reducing it by operating the direction key K, the zoom bar ZB, or the like. Is. The analysis target area may be an area designated on the map by the user of the analysis terminal 20 via an input device such as a mouse or a touch pen.

Travel dynamics for the new area to be analyzed are displayed as the map moves or scales. In order to perform such a display, the control unit 31 of the server 30 calculates the number of travelers on the newly displayed mesh. In this way, the analysis target area is updated according to the movement, enlargement, or reduction of the map, and the travel dynamics in the updated analysis target area are displayed. The particle size or mesh size may be changed according to the scale of the map.

The process related to the update of the travel dynamics display due to the change of the analysis target area will be described in more detail. First, the changed information on the analysis target area is transmitted from the analysis terminal 20 to the server 30. Then, the data generation unit 311 of the server 30 regenerates the updated travel dynamic data for the analysis target area. The regenerated travel dynamic data is transmitted from the server 30 to the analysis terminal 20. After that, the output control unit 212 of the analysis terminal 20 causes the display unit 25 to display the travel dynamics based on the received new travel dynamics data on the moved, enlarged or reduced map.

Although not shown, when the check box of "Positioning by mesh: All users for all periods" is selected on the screen of FIG. 12 (that is, when "positioning user index" is accepted as an analysis index), each mesh The number of travelers positioned within the area (ie, the sum of the number of staying travelers and the passing travelers) is displayed. Here, the "staying traveler" means a traveler who is determined to have stayed in the area of a certain mesh for a predetermined time or longer, and the "passing traveler" means a traveler who has stayed in the area of a certain mesh for a predetermined time or longer. A traveler who has moved to another mesh area without staying.

By switching the analysis index via the check box as shown in FIG. 12, the display of the number of positioning travelers and the number of staying travelers can be easily switched. Here, the "positioning traveler" means a traveler who is positioned within a certain mesh area. The number of positioning travelers is the sum of the number of staying travelers and the number of transit travelers. It should be noted that at least two combinations of the number of staying travelers, the number of passing travelers, and the number of positioning travelers may be arbitrarily switched.

The user of the analysis terminal 20 can easily visually grasp the mesh with many staying travelers from the display screen of FIG. That is, in this example, it can be grasped at a glance that there are many staying travelers in Kyoto, Osaka, Nara, and the like.

FIG. 14 is an example of a screen when the check box CB2 is selected and “By nationality: All nationalities” of “View by city / ward / town / village” is specified as the analysis index. In this example, a pie chart showing the percentage of travelers by nationality by prefecture includes multiple prefectures (Kyoto, Osaka, Hyogo, Nara, Shiga, Mie) included in the analysis area. It is displayed so that it overlaps the map. Here, the nationalities of travelers are divided into three categories, Asia (code A), Western Australia (code B), and others (code C), and displayed in a pie chart. The total number of travelers by prefecture is displayed in the center of the pie chart.

In order to display the screen of FIG. 14, the data generation unit 311 of the server 30 has a first travel dynamic data showing the travel dynamics in the first area included in the analysis target area and a second travel dynamic data included in the analysis target area. Generate a second travel dynamics data showing the travel dynamics in the area of. Then, the output control unit 212 of the analysis terminal 20 uses the first travel dynamic data and the second travel dynamic data to display the travel dynamic in the first area and the second area on the map including the analysis target area. The travel dynamics in the above are displayed on the display unit 25 in a comparable manner.

In the example of FIG. 14, since the analysis target area includes six areas (prefectures / prefectures), the data generation unit 311 generates the first to sixth travel dynamic data. The output control unit 212 uses the first to sixth travel dynamics data to display the travel dynamics of each area on the map including the analysis target area on the display unit 25 in a comparable manner.

The user of the analysis terminal 20 can easily visually grasp the ratio of nationalities of travelers by prefecture (administrative world) from the display screen of FIG. In other words, in this example, it is possible to grasp at a glance that Kyoto and Nara prefectures have more travelers from Europe, America and Australia than Asia, while Osaka and Shiga prefectures have more travelers from Asia than Europe, America and Australia. Is.

By using the nationality of the traveler as an analysis index in this way, for example, there is no lack of appropriate measures such as correspondence of the guide language and religious correspondence such as food and prayer for travelers of a specific nationality. Can be analyzed.

It is also possible to specify multiple analytical indicators. FIG. 15 is a screen example when the check box CB3 indicating “time zone: all time zones_graph” is selected in addition to the check box CB2. In this case, in addition to the pie chart showing the percentage of travelers by nationality, the bar graph showing the number of staying travelers by time zone is superimposed and displayed on the map including the analysis target area. In this bar graph, the left end corresponds to 0 o'clock and the right end corresponds to 24:00, and the number of overnight travelers is indicated by the length of the bar.

From the display screen of FIG. 15, the user of the analysis terminal 20 can easily visually grasp the ratio of nationalities of travelers and the number of staying travelers by time zone for each prefecture. By making it possible to specify a plurality of analysis indexes in this way, it is possible to perform a multifaceted analysis of travel dynamics at once.

Hereinafter, screen examples and analysis examples showing the travel dynamics of a plurality of travelers will be described in detail with reference to the drawings.

<Positioning user index / staying user index>
With reference to FIGS. 16A and 16B, the display of travel dynamics when the analysis index is a positioning user index and a staying user index will be described. More specifically, the display switching between the number of positioning travelers and the number of staying travelers, and the analysis based on the comparison between the number of positioning travelers and the number of staying travelers will be described. FIG. 16A shows a screen for displaying the number of positioning travelers for each mesh, and FIG. 16B shows a screen for displaying the number of staying travelers for each mesh.

In the case of the examples of FIGS. 16A and 16B, the data generation unit 311 of the server 30 generates and analyzes the first travel dynamic data indicating the number of positioning travelers for each mesh that divides the analysis target area. A second travel dynamics data showing the number of staying travelers is generated for each mesh that divides the target area. Then, the analysis unit 312 of the server 30 extracts a mesh in which the number of staying travelers is less than a predetermined standard based on the first travel dynamic data and the second travel dynamic data. For example, a mesh in which the ratio of the number of staying travelers to the number of positioning travelers is less than a predetermined ratio is extracted. The mesh extraction criteria are not limited to this, and for example, a mesh in which the number of staying travelers is smaller than the number of passing travelers may be extracted. In this way, an area having a problem (problem area) is extracted from the analysis target area.

In the examples of FIGS. 16A and 16B, the number of positioning travelers in Fukui is 104, while the number of staying travelers is 3, which is the number of staying travelers compared to the number of positioning travelers. The analysis unit 312 extracted the mesh of Fukui because there were very few. The extracted mesh may be displayed in a different manner (changing the color of the mesh, adding a thick frame to the mesh, etc.) so as to distinguish it from other meshes.

In this example, as shown in FIG. 16A, the analysis terminal 20 emphasizes and displays the mesh (passing area) with many passing travelers extracted by the analysis unit 312 as a task area. At this time, a message Msg1 including advice for increasing the number of staying travelers (such as "We will proceed with measures to attract tourists") may be displayed. Based on these analysis results, it will be possible to consider measures such as PR of tourism resources and issuance of limited express tickets that allow passengers to get on and off.

<Hourly index>
Next, with reference to FIG. 17, the display of travel dynamics when the analytical index is a time-based index will be described. FIG. 17 is an example of a screen that displays the number of staying travelers in a plurality of areas (prefectures / prefectures) included in the analysis target area in a bar graph by time. Similar to FIG. 15, the left end of the bar graph corresponds to midnight and the right end corresponds to 24:00, and the number of overnight travelers per hour is indicated by the length of the bar. Further, it is displayed in a different display mode for each time zone of midnight, morning, daytime, and night. In FIG. 17, each time zone is distinguished by the type of hatching, but it may be distinguished by another display mode such as the color of a bar.

In this example, the data generation unit 311 of the server 30 generates travel dynamic data indicating the number of staying travelers in the analysis target area by time (for example, every hour). That is, travel dynamic data is generated by totaling the staying travelers for each prefecture based on the analysis data for each time zone.

By being able to grasp the number of tourists staying by time zone, it becomes possible to distinguish between tourist areas and accommodation areas. For example, an area with a large number of tourists staying during the daytime hours (for example, 10:00 to 19:00) is determined to be a tourist area, and an area with a large number of tourists staying during the nighttime hours (for example, 0:00 to 7:00). Is determined to be an accommodation area.

According to the example of FIG. 17, it is possible to grasp at a glance the tendency of the number of tourists staying in a plurality of areas (that is, prefectures in the Kinki region) included in the analysis target area by time zone of the day. For example, it can be seen that overnight travelers such as hotel guests tend to concentrate in Osaka and Kyoto prefectures, and in particular, Osaka prefecture has more guests at night than during the day. On the other hand, in Nara prefecture, the decline is particularly large after dinner, and it is inferred that there are few tourists at night. In this way, the demand characteristics of each area can be grasped. As a result, it will be possible to identify measures to increase the number of tourists at night and expansion of accommodation facilities as issues. The issues may be extracted for a plurality of areas. In addition, different issues may be extracted for a plurality of areas.

The hourly index is not limited to the time zone of the day, for example, by season (spring, summer, autumn and winter), by month (January, February, ...), and by rough division of the day (morning, noon, night). , Midnight, etc.).

Further, the analysis unit 312 may extract the above-mentioned problem and display the extracted screen. In the example of Fig. 18, the message Msg2 "There are fewer night-time residents than the surrounding area. We recommend expanding accommodation facilities and night-time tourism resources." Is displayed in association with the problem extraction area (Nara Prefecture here). Has been done. The analysis terminal 20 may output a message by voice via a speaker.

When the problem is extracted by comparing the travel dynamics between areas as described above, the data generation unit 311 generates travel dynamic data showing the travel dynamics for each of a plurality of areas included in the analysis target area. Then, the analysis unit 312 compares the travel dynamics in each area using the generated travel dynamics data, evaluates the demand characteristics of at least one of the plurality of areas based on the comparison result, and issues the issues in the area. Is extracted. The area may be an administrative boundary such as a prefecture or a municipality, or may be a mesh. Here, the mesh may be a mesh of a size specified by the user of the analysis terminal 20.

<Index by number of visits>
Next, with reference to FIG. 19, the display of travel dynamics when the analysis index is an index by the number of visits will be described. FIG. 19 is an example of a screen that displays the number of travelers who visited the analysis target area (the area around Takamatsu City) according to the number of visits.

In this example, the traveler attribute information includes information on the number of visits (in the case of inbound, the number of visits to Japan). The data generation unit 311 of the server 30 generates travel dynamic data indicating the number of travelers who have visited the analysis target area according to the number of visits. Here, the number of travelers is, for example, the number of staying travelers, but may be the number of overnight travelers, the number of positioning travelers, and the like. Here, the “accommodation traveler” refers to a traveler who has stayed in a certain mesh area. The number of overnight travelers can be calculated, for example, by aggregating the number of travelers whose last positioned position within the night time zone (21:00 to 3:00, etc.) is within the area of the mesh.

In FIG. 19, the tourists who visited the analysis target area are divided into two, the first time and the repeater, and displayed in a pie chart. This makes it possible to easily analyze the travel dynamics according to the number of visits. In this example, 77% of the tourists visit Naoshima in the Seto Inland Sea for the first time, while 65% of the neighboring Takamatsu are repeaters. From this, for example, measures to have travelers who visit Naoshima for the first time visit Takamatsu by going a little further can be extracted as issues to be examined.

When targeting foreign travelers, the travel dynamics may be displayed according to the number of visits to Japan. This makes it possible to analyze the difference in travel dynamics depending on whether or not the person has visited Japan. For example, it will be possible to easily extract areas with many foreign tourists visiting Japan for the first time and areas with many foreign tourists who have visited Japan for the first time.

Moreover, the visit frequency is not limited to the number of visits. In this case, the traveler attribute information includes information on the visit experience including at least one of the number of visits and the frequency of visits. Then, the data generation unit 311 generates travel dynamic data showing the number of travelers who visited the analysis target area according to the visit experience.

<Index by length of stay>
Next, with reference to FIGS. 20A and 20B, the display of travel dynamics when the analysis index is an index by length of stay will be described. FIG. 20A is an example of a screen displaying the number of travelers for a short stay (here, within 3 days) for each mesh. FIG. 20B is an example of a screen displaying the number of travelers for a long-term stay (here, 4 days or more) for each mesh. Here, the stay area is not a mesh unit but an analysis target area (Kyoto city in the example of FIG. 20). That is, FIG. 20A shows the number of travelers for each mesh for travelers who stayed in Kyoto City for a short period of time. FIG. 20B shows the number of travelers for each mesh for travelers who have stayed in Kyoto for a long time. For foreign travelers, the area of stay may be the entire Japan.

In the case of this example, the data generation unit 311 generates travel dynamic data showing the number of travelers staying in the analysis target area according to the number of days of stay. In the example of FIG. 20B, analysis data having a column indicating travelers who have stayed in Kyoto city for a long period of time is created, and the number of travelers is totaled for each mesh from the analysis data to travel. Generate dynamic data.

According to the examples of FIGS. 20 (a) and 20 (b), it can be seen that the long-term residents have more staying areas than the short-term residents and travel in a relatively wide area. In addition, it can be seen that long-term residents visit surrounding areas such as Ohara and Kurama. By using such analysis results, for example, it is possible to consider measures for expanding excursion routes for long-term residents.

<Association analysis>
Next, with reference to FIG. 21, an association analysis (correlation analysis) for grasping the travel dynamics will be described. FIG. 21 shows a screen of association analysis for Hakone Town. That is, another area (city, ward, town, or village) where the traveler who stayed in Hakone stayed was extracted.

In this example, the analysis unit 312 of the server 30 is a second one or a plurality of users who stayed in the first area (here, Hakone Town) included in the analysis target area and stayed in other than the first area. Extract the area. This makes it possible to identify an area that is highly related to the first area. In addition, you may extract three or more areas with high correlation.

The information of the area extracted by the analysis unit 312 is transmitted to the analysis terminal 20 by the information output unit 313, and the output control unit 212 of the analysis terminal 20 is displayed on the map including the analysis target area based on the information received from the server 30. Display the association analysis results.

That is, in the screen example of FIG. 21, Hakone Town (first area) and the extracted municipalities with high correlation (second area) are connected by a straight line, and the second area is on the straight line. The city name of the area and the number of travelers who stayed in both the first area and the second area are displayed. In this example, the larger the number (that is, the higher the correlation), the thicker the straight line is displayed. As another display mode, for example, the size of the font indicating the number of travelers may be increased or the font may be changed as the correlation is higher.

The output control unit 212 of the analysis terminal 20 provides information indicating the degree of correlation between the area included in the analysis target area (first area) and the area extracted by the analysis unit 312 (second area). In addition to the number of travelers, for example, parameters such as ratio, travel time, means of travel (railway, car, etc.), travel route, and the like may be displayed on the display unit 25. In the example of FIG. 22, as information indicating the degree of correlation, in addition to the number of travelers staying in both areas, the ratio of the number of such travelers to the number of travelers staying in Hakone Town and the travel time between both areas. Is displayed.

As described above, the output control unit 212 of the analysis terminal 20 causes the display unit 25 to display the relationship between the first area and the second area so as to be visually recognizable. This makes it possible to review sightseeing tour routes and consider wide-area cooperation between multiple areas. In addition, it will be possible to analyze combinations of tourist destinations that are popular with travelers, combinations of unexpected areas, and travel needs of travelers.

<Display of visit order>
Next, an example of development of the above-mentioned association analysis will be described with reference to FIG. 23. FIG. 23 is an example of a screen that visually and easily grasps the order of visits in order to analyze the stay patterns of foreign visitors to Japan visiting the San'in region. The percentage of areas visited by foreigners visiting Japan (Tottori / Shimane, Hiroshima / Okayama, Hyogo / Osaka / Kyoto, Tokyo, etc.) is displayed on a daily basis during the week from the 1st to the 7th day. .. Here, the "visit" may be a "stay" that stays in the target area for a predetermined time or longer, or may be an "accommodation" in the target area.

Further, in FIG. 23, the movement of each area of foreign visitors to Japan is indicated by arrows. Movements between areas with many foreign visitors to Japan are indicated by thick arrows. Focusing on a specific area (Tottori / Shimane in this case), other areas visited in relation to the area are extracted and the order of visits is clarified. Then, the ratio of the visit order is displayed in a visually easy-to-understand manner.

In the case of this example, the output control unit 212 of the analysis terminal 20 causes the display unit 25 to display the visit order of the area specified by the analysis unit 312 of the server 30 and the analysis target area so that it can be easily visually grasped. .. As a result, it is possible to grasp the stay pattern of travelers in the area of interest.

According to the example in FIG. 23, it can be seen that many foreign visitors to Japan visit the San'in region on the 2nd to 4th days. Foreign travelers often leave the country from Kansai or Tokyo, so it is necessary to analyze the need to attract guests to the San'in region as early as possible in the itinerary in order to increase the number of nights per person. it can.

<Flow analysis>
Next, with reference to FIG. 24, an example of visualizing a traveler's movement pattern by flow analysis will be described. FIG. 24 is an example of a screen related to flow analysis in South Kanto, and the inflow relationship of travelers between cities is displayed on a map. The numbers in the municipalities indicate the number of staying travelers, and the numbers on the line connecting the municipalities indicate the number of travelers who have traveled between the municipalities. This makes it possible to analyze the inflow route of travelers to the area of interest, the tour route of travelers, the travel route of travelers passing through a certain area, and the like.

In addition, when targeting foreign travelers, it will be possible to examine tourism needs, etc. by conducting a flow analysis by nationality and visualizing the travel routes by nationality.

In the case of this example, the data generation unit 311 of the server 30 aggregates the number of travelers moving between the areas included in the analysis target area for each movement direction and generates the travel dynamic data. The traveler is a positioning traveler, but may be another traveler such as a transit traveler. The output control unit 212 of the analysis terminal 20 causes the display unit 25 to display the inflow relationship between the areas.

<Display of consumption amount>
Next, the display of the consumption amount will be described with reference to FIG. 25. FIG. 25 is an example of a screen that displays the consumption amount in the analysis target area for each mesh.

In the case of this example, the output control unit 212 of the analysis terminal 20 causes the display unit 25 to display the consumption amount in the analysis target area. The amount of consumption is, for example, accommodation expenses, admission fees to various facilities, sales amount of roadside stations, etc., all of which are calculated by multiplying the unit price by the number of users, for example. Alternatively, the displayed consumption amount may be the average unit price for each facility, as shown in FIG.

The consumption amount may be displayed by traveler attributes such as nationality and number of visits, or by facility, facility category, and time zone. Further, the consumption amount is not limited to the mesh unit, and may be displayed in a desired unit such as a prefecture or a municipality.

As described above with various specific examples, according to the embodiment of the present invention, the travel dynamics of travelers such as foreign tourists visiting Japan can be accurately grasped from various angles. As a result, planning (such as selecting an effective area to expand the business), analysis of the current situation (such as wanting to analyze the attributes of the target traveler in a specific area in detail), and verification of the effect (measures) It will be possible to easily perform analysis such as (I want to measure what kind of influence it has had, etc.) and discoveries (I want to find out where the most advanced areas where innovators are starting to visit, etc.).

Based on the above description, those skilled in the art may be able to conceive of additional effects and various modifications of the present invention, but the embodiments of the present invention are not limited to the above-described embodiments. Various additions, changes and partial deletions can be made without departing from the conceptual idea and purpose of the present invention derived from the contents defined in the claims and their equivalents.

The configuration of the server in FIG. 3 is an example, and at least a part of the configuration requirements in the server 30 may be in the traveler terminal 10 and the analysis terminal 20, respectively.

At least a part of the information processing system described in the above-described embodiment may be configured by hardware or software. When configured by software, a program that realizes at least a part of the functions of the information processing system may be stored in a recording medium such as a flexible disk or a CD-ROM, read by a computer, and executed. The recording medium is not limited to a removable one such as a magnetic disk or an optical disk, and may be a fixed recording medium such as a hard disk device or a memory.

Further, a program that realizes at least a part of the functions of the information processing system may be distributed via a communication line (including wireless communication) such as the Internet. Further, the program may be encrypted, modulated, compressed, and distributed via a wired line or wireless line such as the Internet, or stored in a recording medium.

100 Information processing system 10 Traveler terminal 11 Control unit 111 Information acquisition unit 112 Output control unit 12 Communication unit 13 Storage unit 14 Operation input unit 15 Display unit 16 Positioning unit 20 Analysis terminal 21 Control unit 211 Reception unit 212 Output control unit 22 Communication Unit 23 Storage unit 24 Operation input unit 25 Display unit 30 Server 31 Control unit 311 Data generation unit 312 Analysis unit 313 Information output unit 32 Communication unit 33 Storage unit 40 Network B1 to B4 Button CB1 Check box F1 Field K Direction key M Menu Msg1 , Msg2 Message SB Scroll bar SW1 Toggle switch T1-T4, T5-T7 Tab ZB Zoom bar

Claims (27)

Data generation that generates travel dynamic data showing travel dynamics in the analysis target area based on analytical data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers, and an analysis index. Means and
Using the travel dynamic data, an output control means for displaying the travel dynamic on a map including the analysis target area so that the travel dynamic can be visually grasped, and an output control means.
An information processing system characterized by being equipped with. The information according to claim 1, wherein the traveler attribute information includes information based on at least one of the questionnaire information answered by the traveler and the incidental information derived from the location history information. Processing system. The information processing system according to claim 1 or 2, wherein the analysis index is related to the traveler attribute information. The information processing system according to any one of claims 1 to 3, wherein the traveler attribute information includes at least nationality. The information processing system according to claim 4, wherein the data generation means generates the travel dynamic data using analytical data in which the nationality of the traveler attribute information is other than Japan. The data generation means
When the analysis index is a positioning user index, first travel dynamic data indicating the number of positioning travelers is generated for each mesh that divides the analysis target area.
The invention according to any one of claims 1 to 5, wherein when the analysis index is a stay user index, a second travel dynamic data indicating the number of staying travelers is generated for each mesh that divides the analysis target area. Information processing system. The data generation means generates first travel dynamic data indicating the number of positioning travelers for each mesh that divides the analysis target area, and indicates the number of staying travelers for each mesh that divides the analysis target area. Generate 2 travel dynamics data,
The information processing system according to any one of claims 1 to 5, further comprising an analysis means for extracting a problem area based on the first travel dynamic data and the second travel dynamic data. The data generation means according to any one of claims 1 to 5, wherein when the analysis index is an hourly index, the data generation means generates travel dynamic data indicating the number of staying travelers in the analysis target area by time. Information processing system. The traveler attribute information includes information on the visit experience.
The data generation means according to any one of claims 1 to 5, wherein when the analysis index is an index by visit experience, the data generation means generates travel dynamic data showing the number of travelers who visited the analysis target area by visit experience. Information processing system described in Crab. The data generation means generates travel dynamic data showing travel dynamics for each of a plurality of areas included in the analysis target area.
An analytical means for comparing travel dynamics in each of the areas using the travel dynamics data, evaluating the demand characteristics of at least one of the plurality of areas based on the comparison results, and extracting problems in the areas is further provided. The information processing system according to any one of claims 1 to 5, wherein the information processing system is provided. Any of claims 1 to 5, wherein the data generation means generates travel dynamic data indicating the number of travelers staying in the analysis target area by the number of days of stay when the analysis index is an index by length of stay. Information processing system described in Crab. The data generation means includes a first travel dynamic data showing the travel dynamics in the first area included in the analysis target area, and a second travel showing the travel dynamics in the second area included in the analysis target area. Generate dynamic data,
The output control means uses the first travel dynamic data and the second travel dynamic data to display the travel dynamics in the first area and the travel dynamics in the second area on a map including the analysis target area. The information processing system according to any one of claims 1 to 5, wherein the travel dynamics are displayed on the display means in a comparable manner. Any of claims 1 to 5, wherein a user who stays in the first area included in the analysis target area further includes an analysis means for extracting a second area where the user stays in a region other than the first area. Information processing system described in. The information processing system according to claim 13, wherein the output control means causes the display means to display information indicating the degree of association between the first area and the second area. The information processing according to claim 13 or 14, wherein the output control means causes the display means to display the relationship between the first area and the second area so as to be visually recognizable. system. The information processing according to claim 13, wherein the output control means causes the display means to display the visit order of the area specified by the analysis means and the analysis target area so as to be visually graspable. system. The data generation means aggregates the number of travelers moving between areas included in the analysis target area for each movement direction to generate the travel dynamic data.
The information processing system according to any one of claims 1 to 5, wherein the output control means displays an inflow relationship between the areas on the display means. The information processing system according to any one of claims 1 to 5, wherein the output control means causes the display means to display the amount of consumption in the analysis target area. The area to be analyzed is updated as the map moves, expands or contracts.
The data generation means regenerates the travel dynamics data for the updated area to be analyzed.
Any of claims 1 to 18, wherein the output control means causes the display means to display a travel dynamic based on the regenerated travel dynamic data on the moved, enlarged or reduced map. Information processing system described in Crab. An information processing program that is executed on an analysis terminal that is communicatively connected to a server.
The server generates travel dynamic data indicating travel dynamics in the analysis target area based on analysis data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers, and an analysis index. Has a means of generating data to generate
The information processing program uses a computer.
An information processing program for functioning as an output control means for displaying the travel dynamics on a map including the analysis target area by a display means so that the travel dynamics can be visually easily grasped by using the travel dynamic data. Computer,
Data generation that generates travel dynamics data showing travel dynamics in the analysis target area based on analytical data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers, and analysis indexes. An information processing program to function as a means. An information processing system consisting of multiple computers connected to communicate with each other.
Data generation that generates travel dynamic data showing travel dynamics in the analysis target area based on analytical data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers, and an analysis index. Means and
Using the travel dynamics data, an information processing system including an output control means for displaying the travel dynamics on a map including the analysis target area on a display means so that the travel dynamics can be visually easily grasped is made to function. for,
An information processing program for making at least one of the computers function as at least one of the means. In order to make the information processing system according to any one of claims 1 to 19 function by a plurality of communicably connected computers.
An information processing program for causing one of the computers to function as at least one of the means in the information processing system according to any one of claims 1-19. An information processing program for causing a computer to function as at least one of the means in the information processing system according to any one of claims 1-19. By multiple information processing devices connected communicably
Data generation that generates travel dynamic data showing travel dynamics in the analysis target area based on analytical data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers, and an analysis index. Means and
An information processing system including an output control means for displaying the travel dynamics on a map including the analysis target area by a display means so that the travel dynamics can be visually easily grasped by using the travel dynamic data is configured. for,
An information processing device including at least one of the above means. Computer,
Data generation that generates travel dynamic data showing travel dynamics in the analysis target area based on analytical data including location history information of a plurality of travelers and traveler attribute information for each of the plurality of travelers, and an analysis index. An information processing program for functioning as an output control means for displaying the travel dynamics on a map including the area to be analyzed by the means and the travel dynamic data so that the travel dynamics can be visually easily grasped. .. The data generation means is travel dynamic data showing the travel dynamics in the analysis target area based on the analysis data including the position history information of a plurality of travelers and the traveler attribute information for each of the plurality of travelers, and the analysis index. And the steps to generate
A step in which the output control means uses the travel dynamic data to display the travel dynamic on a map including the analysis target area so that the travel dynamic can be visually easily grasped by the display means.
An information processing method characterized by being provided with.