JP2016099212A - Residential area selection device, residential area selection program, and residential area selection method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To select an area suitable for one's lifestyle, without a user input.SOLUTION: A residential area selection device 100 comprises: a first exclusion unit; a calculation unit; a second exclusion unit; and an output unit. The first exclusion unit excludes information corresponding to a route position of public transport means, out of pieces of positional information of a portable terminal associated with user identification information for each time. The calculation part calculates movement speed of the portable terminal for each time, based on the excluded positional information of the portable terminal for each time. The second exclusion part excludes data including feature information of an area where a user cannot move easily unless the user uses a private vehicle, out of a list of data in which an area name and feature information of an area are associated, when the movement speed of the portable terminal calculated for each time is equal to or less than a first value. The output part outputs area names associated with feature information of residual areas.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a residential area selection device, a residential area selection program, and a residential area selection method.

  Each city (city) has its own characteristics. In selecting a region to live in, the selector wants to select a region that suits his / her lifestyle and does not want to select a region that does not match his / her lifestyle. In the case where there are a plurality of family members, it is higher priority to avoid a lifestyle that is not desired by all people than to satisfy a lifestyle desired by each person.

  With the advent of a nuclear family and an aging society, the number of people with lifestyles that do not use private cars is increasing. For such people, areas that are inconvenient if they do not own a private vehicle, such as areas with a large difference in elevation or areas far from the station, are likely to be residential areas that are not suitable for lifestyle.

  By the way, for example, there is a technique for searching for real estate information that reflects a respondent's lifestyle by accessing a system and answering a questionnaire. There is also a technique for performing predetermined processing on user position data, extracting a feature vector for identifying the type of user activity, and recognizing the type of user activity based on the feature vector.

JP 2006-268385 A JP 2012-198870 A

  However, in the above technique, as described below, there are cases where it is not possible to select a region that matches the lifestyle without user input.

  For example, in the case of a technology that uses a questionnaire, it is necessary to access the system and to answer a questionnaire or the like. Further, in the case of a technique for recognizing the type of user activity, there is no way to recognize the user's behavioral characteristics and use it for regional selection. Therefore, an area that is not suitable for the user's lifestyle may be selected.

  In one aspect, an object of the present invention is to provide a residential area selection device, a residential area selection program, and a residential area selection method capable of selecting an area suitable for a lifestyle without user input.

  The living area selection device according to one aspect includes a first excluding unit, a calculating unit, a second excluding unit, and an output unit. A 1st exclusion part excludes the information corresponding to the route position of a public transport from the positional information for every time of the portable terminal linked | related with the identification information of a user. A calculation part calculates the moving speed for every time of the said portable terminal from the positional information for every time of the excluded portable terminal. When the moving speed of the mobile terminal calculated at each time is equal to or less than the first value, the second excluding unit uses a private car from a list of data in which the area name and the area feature information are linked. Exclude data that contains characteristic information of regions that would otherwise be difficult. The output unit outputs a region name associated with the feature information of the remaining region.

  It is possible to select a region that matches the lifestyle without user input.

FIG. 1 is a functional block diagram illustrating a functional configuration of the residential area selection device according to the embodiment. FIG. 2 is a diagram illustrating an example of map information. FIG. 3 is a diagram illustrating an example of regional information. FIG. 4 is a diagram illustrating an example of collected data. FIG. 5 is a flowchart illustrating an example of a residential area selection process according to the embodiment. FIG. 6 is a flowchart illustrating an example of a city selection routine according to the embodiment. FIG. 7 is a flowchart illustrating an example of collected data analysis processing according to the embodiment. FIG. 8 is a flowchart illustrating an example of the area selection routine 1 according to the embodiment. FIG. 9 is a flowchart illustrating an example of the area selection routine 2 according to the embodiment. FIG. 10 is a diagram illustrating a hardware configuration example of a computer that executes the residential area selection program according to the embodiment.

  A residential area selection device, a residential area selection program, and a residential area selection method according to the present application will be described below with reference to the accompanying drawings. Note that this embodiment does not limit the disclosed technology. Each embodiment can be appropriately combined within a range in which processing contents are not contradictory.

  FIG. 1 is a functional block diagram illustrating a functional configuration of the residential area selection device according to the embodiment. The residential area selection device 100 shown in FIG. 1 includes, for example, data including characteristic information of an area that is difficult to use without using a private car among data collected from mobile terminals that sense position information at predetermined time intervals. Is provided, and a residential area selection support service for outputting the area name of the area selected from the remaining areas is provided. Hereinafter, the position information data collected from the mobile terminal for each time may be referred to as “collected data”.

  Here, in the following, as an example of the granularity of the area output by the residential area selection device 100, a case where the residential area selection device 100 outputs in units of “towns” is illustrated, but any granularity, for example, a prefecture, Output of municipalities and part of lot numbers can be performed.

  Moreover, below, the case where the residence area selection apparatus 100 is mounted as a portable terminal as an example is assumed. That is, in this embodiment, the case where the execution subject of the process for sensing the position information and the process for outputting the area using the collected data are the same is illustrated. Examples are not limited to this. For example, the execution subject of the above-mentioned two processes may be made different, and the residential area selection device 100 may execute the process only by outputting the area using the collected data collected from one or a plurality of portable terminals.

  As an implementation example of the residential area selection device 100, a portable terminal in general can be adopted. For example, in addition to a mobile communication terminal such as a mobile phone or a PHS (Personal Handyphone System), a tablet terminal or a notebook personal computer may be employed as the residential area selection device 100. In the case where sensing of position information is executed by another device, a stationary information processing device can be employed as the residential area selection device 100. For example, when processing collected data from a plurality of portable terminals, it can be implemented as a server machine, a physical machine including one or more system boards, or a physical machine group.

  As illustrated in FIG. 1, the residential area selection device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. In addition to the functional units shown in FIG. 1, the residential area selecting device 100 may have various functional units included in a known computer, for example, functional units such as various input devices and audio output devices.

  The communication unit 110 is a functional unit that performs communication with other devices. As an implementation example, the communication unit 110 can be realized by, for example, a NIC (Network Interface Card) or the like. For example, the communication unit 110 is connected to an information processing device that provides map information or an information processing device that provides regional information via a network N, wired or wirelessly, and communicates information with these information processing devices. To manage. In addition, the communication unit 110 may communicate information with the information processing apparatus storing the collected data via the network N, for example.

  The storage unit 120 is implemented by, for example, a semiconductor memory device such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 120 includes a region information storage unit 122, a map information storage unit 121, and a collected data storage unit 123, as shown in FIG. Although not shown, the storage unit 120 also stores information used for processing executed by the control unit 130.

  The map information storage unit 121 stores map information.

  As one embodiment, the map information storage unit 121 can store map information over an arbitrary range. For example, when the provider of the residential area selection support service is a local government, a digital map in the range of prefectures or municipalities managed by the local government can be used as the category of the map information. Hereinafter, a provider that provides the above-mentioned residential area selection support service may be referred to as a “service provider”. The map information storage unit 121 can store a digital map at an arbitrary scale. At this time, it goes without saying that the map information storage unit 121 can store map information at a plurality of different scales. In addition, although the case where the residential area selection apparatus 100 memorize | stored map information was illustrated here, the residential area selection apparatus 100 does not necessarily need to memorize | store map information. For example, when map information is provided as a service by an external device, it can also be used.

  FIG. 2 is a diagram illustrating an example of map information. FIG. 2 shows, as an example, an X city map extracted from the range in which the service provider provides the above-described residential area selection support service. The map information shown in FIG. 2 includes seven areas of A town, B town, C town, D town, E town, F town, and G town. In X City, it can be seen that the railway crosses from the east to the west of X city as a public transportation. Furthermore, Y station is provided in the central part of X city, and commercial facilities are also provided in Y station. In the example of FIG. 2, the road display is omitted for convenience of explanation, but the map information may include a road display.

  The regional information storage unit 122 stores regional information.

  As one embodiment, a list of data in which a region name and region feature information are associated can be adopted as the region information. FIG. 3 is a diagram illustrating an example of regional information. The area information shown in FIG. 3 includes seven towns X as shown in FIG. 2 as an example of the area. In addition, the area information shown in FIG. 3 includes, as examples of area characteristic information, “streetlight interval”, “security camera installation density”, “maximum gradient”, “distance from town to station”, “free parking lot” ”,“ Bicycle lane installation rate ”,“ Pet-friendly shelter ”, etc. are used.

Here, the “streetlight interval” referred to in FIG. 3 indicates the interval between streetlights in a region. For example, the distance between streetlights is represented by meters. The “security camera installation density” refers to the density at which security cameras are installed, and is expressed, for example, as the number of security cameras per 1000 m ² in density.

  The “maximum gradient” refers to the maximum gradient of roads and the like in the area, and is represented by, for example, the angle of the slope when the horizontal plane is zero degrees. In the example shown in FIG. 2, it can be seen that the map of the city X is land formed including the height from the contour line H10 to the contour line H15. Here, it is assumed that the relationship between the reference numerals of the contour lines shown in FIG. 2 is H10 <H11 <H12 <H13 <H14 <H15. For example, in the case of D town, E town, F town, and G town, the contour line H10 and the contour line H11 are included. For this reason, the maximum slope of each town of D town, E town, F town, and G town is larger than the slope determined by the elevation difference between the contour line H09 (not shown) below the contour line H10 and the contour line H11. It can be seen that it falls within a range that is smaller than the gradient determined by the difference in elevation between the contour line H09 and the contour line H12 below one stage of H10. In the case of A town and B town, contour lines H12 to H14 are included. For this reason, it can be seen that the maximum slopes of A town and B town are larger than the slope determined by the difference in elevation between the contour line H11 and the contour line H14, and smaller than the slope determined by the elevation difference between the contour line H11 and the contour line H15. . In the case of town C, contour lines H12 to H15 are included. For this reason, the maximum slope of town C is larger than the slope determined by the elevation difference between the contour line H11 and the contour line H15, and is greater than the slope determined by the elevation difference between the contour line H11 and the contour line H16 (not shown) on one level of the contour line H15. Can be seen to be within a small range. That is, when calculating the elevation difference between the bottom and the top of the town in each town and obtaining the maximum slope therefrom, the maximum slope of town C is the largest, as shown in FIG. The maximum slope of town B is smaller than the maximum slope of town C, and then the maximum slope of town D to town G is smaller than the maximum slope from town A to town C.

  “Distance from town to station” refers to the distance from the center of the town to the station. For example, it passes through any of the four points of the northernmost, southernmost, eastern and westernmost points of the town. The center of the circle is defined as the center of the town. As a unit of such distance, “km” is used as an example. As an example, a method of calculating “distance from town to station” will be described by taking E town as an example of the towns in X city shown in FIG. Here, the center of a circle passing through the three points of the northernmost end P11 of E town, the easternmost end P12 of E town, and the westmost end P13 of E town is set as the center of E town. And since X city has only one public transportation at Y station P20, the distance D10 from E town center P10 to the nearest station Y station P20 is "distance from town to station (km) "Is set. It should be noted that the “distance from the town to the station (km)” can be set for the towns A to D, town F, and town G other than town E as well as town E.

  “Availability of bicycle parking lots” refers to the availability of bicycle parking lots in the region, and is represented by, for example, the availability of bicycle parking lots. In addition, although the case where the vacancy of the bicycle parking lot is represented by the presence or absence is illustrated here, it may be represented by the number of spaces in which the bicycle parking lot is vacant. The “bicycle lane installation rate” refers to the rate at which bicycle lanes are added to the roadway laid in the area, and is expressed as a percentage, for example. Here, the installation rate is illustrated, but the total distance of the bicycle lane may be used. “Pet-accommodated shelter” refers to information relating to a shelter where pets can evacuate, and is represented by the presence or absence of a pet-accommodated shelter.

  As described above, the “maximum gradient” and the “distance from the town to the station” among the feature information of the area can be set by calculating from the map information. Further, characteristic information other than “maximum gradient” and “distance from town to station” can be extracted from electronic data used when a city or town city plan is formulated or when city plans are executed.

  FIG. 3 illustrates characteristic information regarding seven areas from A town to G town in X city. In the case of the “streetlight interval” shown in FIG. 3, the computer shows that town B, then town C, town E, town F are arranged in the same order, and then the streetlight interval is long in order town A, town D, town G. It is a scheme that can be identified. Based on the length of the streetlight interval, the computer can identify whether the area has one side that is suitable for movement by walking or bicycle, or one side that is not suitable for movement. In addition, in the same way, whether the area has one aspect suitable for moving by walking or biking according to items such as “security camera installation density”, “maximum slope”, “distance from town to station”, etc. Or let the computer identify whether it has one side that is not suitable.

  Further, in the case of “vacant parking space” shown in FIG. 3, it means that there is a free bicycle parking space in an area other than E town. From the space of the bicycle parking lot, the computer can identify whether the area has one side suitable for bicycle use or one side not suitable for bicycle use. Furthermore, similarly, the computer can identify whether the area has one side that is suitable for bicycle use or one side that is not suitable for the use of items such as “bicycle lane installation rate”.

  In the case of “evacuation shelters allowed with pets” shown in FIG. 3, it means that there are shelters in A town, F town, and G town where pets can evacuate. From such a pet-friendly evacuation center, the computer can identify whether the area has one side that is suitable for living with pets or one side that is not suitable for living with pets.

  The regional feature information is not limited to the above example. For example, “distance from town to bus stop (m)”, “distance from town to commercial facility (m)”, “level difference from town to station” Various information such as (m) "may be included.

  The collected data storage unit 123 stores the collected data.

  As one embodiment, the collected data can employ data including at least a temporal change in position. FIG. 4 is a diagram illustrating an example of collected data. FIG. 4 illustrates a case where latitude and longitude are sensed every 10 seconds by a GPS (Global Positioning System) receiver. As shown in FIG. 4, data associated with items such as “time”, “latitude”, “longitude”, “distance”, and “speed” can be adopted as the collected data. Among these, “distance” refers to a moving distance at a sampling interval at which positions such as latitude and longitude are sensed. For example, the distance is represented by “m”. The “speed” refers to the moving speed at the above sampling interval. For example, the speed is represented by “km / h”. At the stage when the collected data is collected, the measured values are stored only in the items of time, latitude and longitude sensed by the GPS receiver or the like, and until the processing is executed by the calculation unit 132 described later. The distance and speed items are stored in a blank state. In the example of FIG. 4, the case where the sampling period sensed by the GPS receiver or the like is 10 seconds, but it goes without saying that the position information can be sensed at an arbitrary sampling period.

  Returning to the description of FIG. 1, the control unit 130 has an internal memory for storing various programs and control data, and executes various processes using these.

  As one embodiment, the control unit 130 is implemented as a central processing unit, a so-called CPU (Central Processing Unit). The control unit 130 does not necessarily have to be implemented as a central processing unit, and may be implemented as an MPU (Micro Processing Unit). The control unit 130 can also be realized by a hard wired logic such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  The control unit 130 virtually implements the following processing unit by executing various programs. For example, the control unit 130 includes a first excluding unit 131, a calculating unit 132, a second excluding unit 133, and an output unit 134. The functional configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 1, and may have other functional configurations as long as the configuration performs information processing described later.

  The 1st exclusion part 131 is a process part which excludes the information corresponding to the route position of a public transport from the positional information for every time of the portable terminal linked | related with the identification information of a user.

  As one embodiment, the first excluding unit 131 starts processing when a request for selecting a residence area is received via an unillustrated user interface, for example, an input device such as a physical key or a touch panel. For example, the first exclusion unit 131 reads the collected data stored in the collected data storage unit 123. In addition, the first excluding unit 131 uses the map information stored in the map information storage unit 121 to exclude the record corresponding to the route position of public transportation from the records included in the collected data. For example, in the case of the example shown in FIG. 2, the record including the position corresponding to the Y station P20 and the line extending from the Y station P20 is excluded from the collected data shown in FIG. This suppresses the determination being performed in a state where movement through public transportation such as a train or a bus is included in determining whether the user of the residential area selection device 100 owns a private car. Because.

  The calculation unit 132 is a processing unit that calculates a moving speed for each time of the mobile terminal from position information for each time of the mobile terminal.

  As one embodiment, the calculation unit 132 obtains the distance using the coordinates of latitude and longitude between adjacent records among the records included in the collected data. At this time, the calculation unit 132 excludes records excluded by the first exclusion unit 131 and further records adjacent to the excluded records from the processing target. In addition, the calculation unit 132 divides the distance between the preceding and subsequent records by a sampling interval at which position information is sensed, for example, 10 seconds in the example of FIG. Thereby, the calculation unit 132 calculates the movement speed for each adjacent record.

  The second exclusion unit 133 does not use the private vehicle from the list of data in which the region name and the region feature information are associated when the moving speed of the mobile terminal calculated for each time is equal to or less than the first value. It is a processing unit that excludes data containing characteristic information of regions that are difficult.

  As one embodiment, when the moving speed of the residential area selection device 100 calculated between adjacent records is equal to or lower than the first value, the second excluding unit 133 associates the area name with the area characteristic information. From the list of data, the data including the characteristic information of the area that would be difficult if the private car is not used is excluded. Here, as an example of the first value, a moving speed of 15 km / h can be employed. This is merely an example, and any speed can be used as long as it can be determined that the movement is other than an automobile such as walking or bicycle, and is not limited to the above example. For example, the first value may be 18 km / h, 20 km / h, or the like, and a threshold value including an arbitrary decimal point may be employed. In the following, description will be made assuming that the first value is 15 km / h as an example.

  The output unit 134 is a processing unit that outputs a region name associated with feature information of the remaining region.

  As one embodiment, the output unit 134 is obtained as a result of processing by the second excluding unit 133 for an output device of the residential area selection device 100, such as a display device, an audio output device, a printing device, or a removable medium. Output the region. In addition, the output unit 134 can also use arbitrary software as an output destination, such as an application program that searches for real estate in that area by inputting the area.

[Residential area selection process]
Next, the residential area selection process which the residential area selection apparatus 100 performs is demonstrated using FIGS. FIG. 5 is a flowchart illustrating an example of a residential area selection process according to the embodiment.

  As shown in FIG. 5, the residential area selection device 100 collects collected data such as time and position information at intervals of 10 seconds for two weeks (step S10). Here, the period for collecting the collected data is not limited to two weeks as long as it is sufficient to collect the collected data on which the user of the residential area selecting device 100 acts, for example, one week or one month. There may be. The collected data collected in step S10 is stored in the collected data storage unit 123, for example. For example, the first excluding unit 131 may store the collected data collected in step S10 using a satellite positioning system such as GPS in the collected data storage unit 123.

  And the residence area selection apparatus 100 sets the variable i to 0 (step S20), and performs the city selection routine mentioned later (step S30). In the city selection routine, a region, in this example, a city that is a population for extracting “town” based on actions other than near the home, such as “city” or “ward” larger than the town, or “city” “Prefecture” or the like is selected, and details of the city selection routine will be described later.

  In addition, the residential area selection device 100 performs an analysis process on the collected data using the collected data (step S40). In the collected data analysis process, the home position is specified and the moving speed is calculated. Details of the collected data analysis process will be described later.

  Thereafter, the residential area selection device 100 performs the area selection routine 1 (step S50) and the area selection routine 2 (step S60) using the data analyzed by the collected data analysis process. In the area selection routine 1, the area is excluded based on the moving means, and in the area selection routine 2, the area is excluded based on the presence or absence of a pet. Details of the area selection routine 1 and the area selection routine 2 Will be described later.

  And the residence area selection apparatus 100 extracts the area which remained in both the area selection routine 1 and the area selection routine 2 (step S70).

  Thereafter, if there is no remaining area in step S70 and the area cannot be extracted (step S80: No), the residential area selection device 100 sets a predetermined value, for example, 3 km, to the variable i to expand the population from which the area is extracted. The search range is expanded by addition (step S85), and steps S30 to S80 are repeatedly executed. On the other hand, if the area can be extracted in step S70 (step S80: Yes), the residential area selection device 100 outputs the extracted area as a candidate for the residential area (step S90) and ends the process.

[City selection routine flow]
Next, the flow of the city selection routine executed in step S30 will be described using FIG. FIG. 6 is a flowchart illustrating an example of a city selection routine according to the embodiment.

  As shown in FIG. 6, the residential area selection device 100 deletes a record included in a predetermined range, for example, a 3 km range, centered on the home from among the records included in the collected data (step S301). For example, the second exclusion unit 133 deletes data within a 3 km area centered on the home from the collected data. In the case of the collected data shown in FIG. 4, for example, records included in T10, T11, T17, T18, etc. are to be deleted. It should be noted that the range in which data is deleted centered on the home is not limited to 3 km as long as it is a living area centered on the home, and may be, for example, 1.5 km or 5 km. Further, the location of the home can be specified, for example, by obtaining the average latitude and the average longitude of the time zone at night, for example, from midnight to 4 am.

  Then, the residential area selection device 100 reads the map information (step S302), and excludes the public transportation route position, for example, the record on the track or the bus route (step S303). For example, the residential area selection device 100 further includes a record corresponding to a route of public transportation identified from the map information stored in the map information storage unit 121 among the collected data obtained as a result of the exclusion in step S301. By excluding, the record on the track or bus route is deleted. For example, in the case of the collected data shown in FIG. 4, for example, data included in T12, T16, and the like are to be deleted.

  Thereafter, the residential area selection device 100 obtains the average latitude (= Σlatitude / number of data) of the remaining data remaining in the processing up to step S303 (step S304). That is, the average latitude is obtained by dividing the total latitude of the remaining data by the number of the data. In the case of the collected data shown in FIG. 4, for example, the average latitude of the data included in T13 to T15 is obtained. Further, the residential area selection device 100 obtains the average longitude (= Σ longitude / number of data) of the remaining data remaining in the processing up to step S303 (step S305). That is, the average longitude is obtained by dividing the total latitude of the remaining data by the number of the data. In the case of the collected data shown in FIG. 4, for example, the average longitude of the data included in T13 to T15 is obtained.

  Thereafter, the residential area selection device 100 extracts a city (area) within a radius of 3 + ikm around the coordinate position determined by the average latitude and average longitude (step S306), and ends the process. Thus, by obtaining the average position from the trajectory of the position information excluding the home and public transportation, the location of the user of the residential area selection device 100 is specified, and the city within a predetermined range from there. Will be extracted as a population to be extracted from the area.

[Flow of analysis processing of collected data]
Here, the flow of the collected data analysis process executed in step S40 will be described with reference to FIG. FIG. 7 is a flowchart illustrating an example of behavior information analysis according to the embodiment.

  As illustrated in FIG. 7, the calculation unit 132 identifies the home position from the night stay position (step S <b> 401). In the case of the collected data shown in FIG. 4, for example, the positions at T10 and T18 correspond to the night stay positions. For specifying the home position, for example, an average of the staying positions at night may be used as the home position.

  And the calculation part 132 calculates a moving speed from time and a moving distance using the collection data collected by step S10 (step S402). Thereafter, the first excluding unit 131 extracts a moving speed within a predetermined distance, for example, 1.5 km within the center of the home (step S403). In the case of the collected data shown in FIG. 4, for example, the uppermost rows of T11 and T12 and the lowermost rows of T17 and T16 correspond to the moving speed within a 1.5 km range centered on the home. Note that the range for extracting the moving speed centered on the home is not limited to 1.5 km as long as it is a living area centered on the home, and may be, for example, 1 km or 2 km.

  And the 1st exclusion part 131 reads the map information memorize | stored in the map information storage part 121 (step S404). Then, as a result of step S403, the first excluding unit 131 uses the travel speed calculated at a position within a predetermined distance from the home on the track or on the bus route (that is, the route position of public transport). Are excluded (step S405). For example, in the case of the collected data shown in FIG. 4, for example, the top row of T12 and the bottom row of T16 are on the track or bus from the moving speed within the range of 1.5 km centering on the extracted home. It is excluded because it is the moving speed on the route. Thereby, in the case of the collected data shown in FIG. 4, for example, data in T11 and T17 correspond to data targeted in the area selection routine 1 and the area selection routine 2.

  In this embodiment, after calculating the moving speed from the time and the moving distance in step S402, the moving speed on the track or bus route is excluded in step S405, but the data on the track or bus route is excluded. After that, the moving speed may be calculated from the time and the moving distance. For example, the calculation unit 132 extracts data within a range of 1.5 km centered on the home, and then excludes data on the track or bus route from the extracted data, and excludes data on the track or bus route. The moving speed may be calculated from the time and the moving distance in the data.

[Flow of region selection routine 1]
Next, the flow of the area selection routine 1 executed in step S50 will be described using FIG. FIG. 8 is a flowchart illustrating an example of the area selection routine 1 according to the embodiment. Note that the area selection routine 1 according to the present embodiment is performed on the cities extracted by the city selection routine at step S30, such as “city” and “ward”.

  As shown in FIG. 8, the second excluding unit 133 determines whether the moving speed is always 15 km / h or less (step S501). In the case of the collected data shown in FIG. 4, the second excluding unit 133 determines whether the moving speed is always 15 km / h or less in the data at T11 and T17, for example.

  Here, when the moving speed is always 15 km / h or less (step S501: Yes), the second exclusion unit 133 estimates that the private vehicle is not owned, and the city selected in the city selection routine described above. The following regions are excluded from the regions included in (Step S502).

  As an example of the area excluded by the second exclusion unit 133, an area that is a predetermined distance away from public transportation and commercial facilities, for example, 1.5 km or more can be cited. The public transportation here is a place where it is possible to get on and off public transportation such as a railway station or a bus stop. In addition, the commercial facilities in this embodiment include a shopping center, a shopping mall, a shopping street, and the like. The public transportation and commercial facilities here are, for example, the nearest public transportation and commercial facilities. The distance from the public transportation and the commercial facility is not limited to 1.5 km, and may be 1 km or 2 km, for example, and the distance from the commercial facility may not be included in the exclusion condition. For example, in the example shown in FIG. 2, X city A town, C town, D town, G town, and the like that are 1.5 km or more away from public transportation are excluded. Other examples include an area where the height difference is a predetermined threshold, for example, an area where the height difference is 2 m or more, or an area where the height difference to the public transportation is 2 m or more. By excluding these areas, it is possible to exclude areas that are difficult to use without using a private vehicle, and no user input is required. For this reason, it is possible to select a region that matches the lifestyle without user input.

  Thereafter, the second exclusion unit 133 determines whether the moving speed is always a second value, for example, 6 km / h or less (step S503). In the case of the collected data illustrated in FIG. 4, the second excluding unit 133 determines, for example, whether the moving speed is always 6 km / h or less in the data at T11 and T17. The moving speed of 6 km / h is an example of the second value, and it is only necessary to include the moving speed when moving on foot. For example, the second value is 8 km / h, 4 km / h or less. There may be. In the following description, the second value is assumed to be 6 km / h.

  At this time, when the moving speed is always 6 km / h or less (step S503: Yes), the second excluding unit 133 estimates that the walking movement is performed, and is an area that is 10 minutes or more on foot to public transportation and commercial facilities. Are excluded (step S504), and the process is terminated. Thereby, the residence area selection apparatus 100 can exclude the area where the user who does not have a private car and a bicycle suffers from walking. The time required to walk to public transportation and commercial facilities is not limited to 10 minutes, and may be, for example, 15 minutes or 8 minutes. The time required to walk to commercial facilities may not be included in the exclusion conditions. Good.

  In addition, when the moving speed is not always 6 km / h or less (step S503: No), the second exclusion unit 133 estimates that the bicycle is owned, and selects an area with few bicycle parking lanes and an area without a bicycle lane. Exclude (step S505), the process ends. For example, in the example shown in FIG. 2, for example, X city E town where there is no available bicycle parking lot, X city G town where the bicycle lane installation rate is 60%, and the like are excluded. Thereby, the residence area selection apparatus 100 can exclude the area where the user who owns the bicycle can park the bicycle within the moving range or can travel only on the road.

  On the other hand, when the moving speed is not always 15 km / h or less (step S501: No), the second excluding unit 133 estimates that the moving is performed by the automobile, and determines whether the moving speed exceeds 15 km / h only at night. (Step S506). In the case of the collected data shown in FIG. 4, the second exclusion unit 133 determines, for example, whether the moving speed exceeds 15 km / h in the data at T17 that is nighttime. In this embodiment, the night time is from 18:00 to 4 o'clock the next day, but the night time zone may be set as appropriate, for example, from 20:00 to 3 o'clock the next day.

  Here, when the moving speed exceeds 15 km / h only at night (step S506: Yes), the second excluding unit 133 estimates that a taxi is used for night road movement, and the above city selection routine Of the areas included in the selected city, areas where the street lamp interval of the road (including nighttime shops) is 30 m or more are excluded (step S507). As a result, it is possible to exclude areas where walking at night or bicycle movement is dangerous. The street lamp interval of the road is not limited to 30 m, and may be 20 m or 50 m, for example. In the example shown in FIG. 2, for example, city A, towns C to G, and the like having a streetlight interval of 30 m or more are excluded.

  After execution of step S507, the second exclusion unit 133 further excludes the following areas from the areas obtained as a result of the exclusion in step S507 under the assumption that no private car is owned. (Step S508).

  An example of an area excluded by the second exclusion unit 133 is an area that is 1.5 km or more away from public transportation and commercial facilities. In the example shown in FIG. 2, for example, city X, city A, city C, city D, city G, etc. that are 1.5 km or more away from public transportation are excluded. Other examples include areas where the height difference is 2 m or more and areas where the height difference to public transport is 2 m or more. As a result, it is possible to exclude regions that are difficult to use without using a private car without user input.

  Thereafter, the second excluding unit 133 determines whether the daytime moving speed is 6 km / h or less (step S509). In the case of the collected data shown in FIG. 4, the second excluding unit 133 determines, for example, whether the moving speed is 6 km / h or less in the data at T11 that is daytime. In this embodiment, the daytime is from 7:00 to 18:00, but the daytime period may be set as appropriate, for example, from 10:00 to 17:00.

  At this time, if the moving speed in the daytime is 6 km / h or less (step S509: Yes), the second exclusion unit 133 estimates that the walking movement is performed, and the public transportation facility and the commercial facility are 10 minutes or more on foot. The region is excluded (step S510), and the process ends. Thereby, the residence area selection apparatus 100 can exclude an area where walking is difficult without user input. The time required to walk to public transportation and commercial facilities is not limited to 10 minutes, and may be, for example, 15 minutes or 8 minutes. The time required to walk to commercial facilities may not be included in the exclusion conditions. Good.

  On the other hand, if the moving speed during the daytime is not always 6 km / h or less (step S509: No), the second excluding unit 133 estimates that the bicycle is owned, and there is no area with a bicycle parking lot in front of the station and no bicycle-dedicated lane. The area is excluded (step S511), and the process ends. In the example shown in FIG. 2, for example, X city E town where there is no vacant bicycle parking lot, and X city G town where the bicycle lane installation rate is 60% are excluded. Thereby, an inconvenient area for using a bicycle without user input can be excluded.

  When the time zone in which the moving speed exceeds 15 km / h is not only at night (step S506: No), the second excluding unit 133 estimates that it owns the private car and there is no restriction (step S512). Then, the process is terminated without executing the exclusion of the area.

[Flow of area selection routine 2]
Next, the flow of the area selection routine 2 executed in step S60 will be described using FIG. FIG. 9 is a flowchart illustrating an example of the area selection routine 2 according to the embodiment. In addition, the area selection routine 2 of the present embodiment is performed for the city extracted by the city selection routine of step S30.

  As shown in FIG. 9, the second excluding unit 133 determines whether the moving speed is a predetermined distance, for example, 6 km / h or less and stops intermittently (step S601). For example, in the case of the collected data shown in FIG. 4, the second excluding unit 133 uses the positional information of the continuous position information including the moving speed of 6 km / h or less and the moving speed of 0 km / h in the data at T11 and T17. It is determined whether or not there is a section.

  At this time, when the moving speed is not less than 6 km / h or does not stop intermittently (step S601: No), the second excluding unit 133 estimates that no pet is held, and there is no restriction (step S602). finish.

  On the other hand, when the moving speed is 6 km / h or less and stops intermittently (step S601: Yes), the second exclusion unit 133 reads the map information stored in the map information storage unit 121 (step S603). In addition, the second exclusion unit 133 determines whether all the stop points are intersections (step S604).

  And when all the stop locations are intersections (step S604: Yes), the 2nd exclusion part 133 presumes that a pet is not held, and complete | finishes as there is no restriction | limiting (step S602).

  When the stop location includes other than the intersection (step S604: No), the second exclusion unit 133 determines whether the intermittent stop region is within a predetermined distance of 100 m (step S605).

  If the intermittent stop area is within 100 m (step S605: Yes), the second exclusion unit 133 estimates that the user is not holding a pet because the stop is due to queue waiting or the like, and there is no restriction (step S602). ) And finish. The predetermined distance is not limited to 100 m, and may be 50 m or 200 m, for example.

  When the intermittent stop area exceeds 100 m (step S605: No), the second exclusion unit 133 determines whether the number of stops is equal to or greater than the third value (step S606). In the present embodiment, the third value is set to twice, and in step S606, it is determined whether the number of stops is one.

  Then, when the number of stops is less than one (step S606: Yes), the second exclusion unit 133 estimates that no pet is held, and ends as no restriction (step S602). Note that the third value is not limited to twice, and may be, for example, three times or five times.

  Further, when the number of stops is not one (that is, two or more times) (step S606: No), the second exclusion unit 133 determines that the intermittent stop is performed a plurality of times and the stop position is the same (step) S607).

  At this time, when the intermittent stop is not performed a plurality of times or the stop positions are not the same (step S607: No), the second exclusion unit 133 estimates that the pet is not held, and there is no restriction (step S602). finish. The stop position is not limited to the completely same position, and may be regarded as the same stop position as long as it is within a predetermined range (2 m or 5 m), for example.

  Further, when there are multiple intermittent stops and the stop position is the same (step S607: Yes), the second excluding unit 133 estimates that the pet is held, and a pet-accommodated shelter The area where there is no area is excluded (step S608), and the process ends. In the example shown in FIG. 2, for example, towns other than X city A town and X city F town where there is no pet-accommodated refuge are excluded. Thereby, an area unsuitable for a pet owner can be excluded without user input.

[One aspect of effect]
The residential area selection device 100 according to the present embodiment includes a first excluding unit 131, a calculating unit 132, a second excluding unit 133, and an output unit 134. The first excluding unit 131 uses the location information for each time of the mobile terminal (in this embodiment, the residential area selection device 100; the same applies hereinafter) associated with the identification information of the user to determine the route position of the public transportation. Exclude the corresponding information. The calculation unit 132 calculates the moving speed for each time of the mobile terminal from the positional information for each time of the excluded mobile terminal. The second exclusion unit 133 does not use the private vehicle from the list of data in which the region name and the region feature information are associated when the moving speed of the mobile terminal calculated for each time is equal to or less than the first value. Exclude data that includes characteristic information of areas that are difficult. The output unit 134 outputs a region name associated with the remaining region feature information. Thereby, since the residence area selection device 100 can identify whether or not the user has lived using a private car in the past, it does not perform a questionnaire or the like and does not match a user who does not want a lifestyle that requires a private car. Can be excluded from the options. Therefore, the residential area selection device 100 can exclude areas that are difficult to use without using a private car without user input, and can select an area that matches the lifestyle.

  Further, in the residential area selection device 100, the second exclusion unit 133 makes walking difficult when the moving speed of the mobile terminal calculated for each time is equal to or less than a second value smaller than the first value. Exclude data containing regional feature information. Thereby, the residence area selection apparatus 100 can exclude an area where walking movement is difficult without user input, and can select an area that matches the lifestyle.

  Further, in the residential area selection device 100, the second excluding unit 133 uses the bicycle when the moving speed of the mobile terminal calculated for each time is equal to or lower than the first value and larger than the second value. Exclude data that contains inconvenient regional feature information. Thereby, the residence area selection apparatus 100 can exclude an inconvenient area for using a bicycle without user input, and can select an area suitable for a lifestyle.

  Further, in the residential area selection device 100, the second excluding unit 133 uses the walking or bicycle at night when the moving speed of the mobile terminal calculated for each time at night is greater than the first value. Excludes data that contains feature information of dangerous areas. Thereby, the residence area selection apparatus 100 can exclude an area where walking or using a bicycle at night is dangerous without user input, and can select an area suitable for a lifestyle.

  Further, in the residential area selection device 100, the second excluding unit 133 has a section of positional information that includes a moving speed of the mobile terminal calculated for each time that is equal to or lower than the second value and includes zero. In some cases, data including feature information of regions unsuitable for pet owners is excluded. Thereby, the residence area selection apparatus 100 can exclude an area unsuitable for a pet owner without user input, and can select an area suitable for a lifestyle.

  Further, in the residential area selection device 100, the second excluding unit 133, when a position other than the intersection is included in the position where the moving speed is zero in the position information section, the position information section is not within a predetermined distance. In addition, when the number of times the moving speed becomes zero in the position information section is equal to or greater than the third value, data including feature information of an area unsuitable for the pet owner is excluded. Thereby, the residence area selection apparatus 100 can exclude an area unsuitable for a pet owner without user input, and can select an area suitable for a lifestyle.

[Residential area selection program]
The various processes described in the above embodiments can be realized by executing a prepared program on a computer such as a personal computer or a workstation. Therefore, in the following, an example of a computer that executes a residential area selection program having the same function as in the above embodiment will be described with reference to FIG.

  FIG. 10 is a diagram illustrating a hardware configuration example of a computer that executes the residential area selection program according to the embodiment. As illustrated in FIG. 10, the computer 10 includes an operation unit 11 a, a speaker 11 b, a camera 11 c, a display 12, and a communication unit 13. Further, the computer 10 includes a CPU 15, a ROM 16, an HDD 17, and a RAM 18. These units 11 to 18 are connected via a bus 14.

  As shown in FIG. 10, the HDD 17 is a residence that exhibits the same functions as the first exclusion unit 131, the calculation unit 132, the second exclusion unit 133, and the output unit 134 shown in the above embodiment. The area selection program 17a is stored. This residential area selection program 17a may be integrated or separated in the same manner as each component of the first exclusion unit 131, the calculation unit 132, the second exclusion unit 133, and the output unit 134 shown in FIG. . In other words, the HDD 17 does not necessarily have to store all the data shown in the above embodiment, and it is sufficient that data used for processing is stored in the HDD 17.

  Under such an environment, the CPU 15 reads the residential area selection program 17 a from the HDD 17 and expands it in the RAM 18. As a result, the residential area selection program 17a functions as a residential area selection process 18a as shown in FIG. The residential area selection process 18a expands various data read from the HDD 17 in an area allocated to the residential area selection process 18a in the storage area of the RAM 18, and executes various processes using the expanded various data. . For example, the process shown in FIGS. 5 to 9 is included as an example of the process executed by the residential area selection process 18a. Note that the CPU 15 does not necessarily operate all the processing units shown in the above-described embodiments, and it is only necessary to virtually realize a processing unit corresponding to a process to be executed.

  The residence area selection program 17a does not necessarily have to be stored in the HDD 17 or the ROM 16 from the beginning. For example, each program is stored in a “portable physical medium” such as a flexible disk inserted into the computer 10, so-called FD, CD-ROM, DVD disk, magneto-optical disk, IC card, or the like. Then, the computer 10 may acquire and execute each program from these portable physical media. Each program is stored in another computer or server device connected to the computer 10 via a public line, the Internet, a LAN, a WAN, etc., and the computer 10 acquires and executes each program from these. It may be.

[Client server system]
In this embodiment, the execution subject of the process for sensing the position information and the process for outputting the area using the collected data is the same, and each process is performed stand-alone. However, the present invention is not limited to this, and the execution subject of the two processes can be made separate. For example, the above-mentioned residential area selection support service is provided by causing a mobile terminal that senses the above location information to be a client and causing the server device to execute a process of outputting the area using collected data collected from the client. It is also possible to construct a client server system that does In this case, the server device may acquire data such as position information for each time from the mobile terminal in association with identification information of the user who uses the mobile terminal, or may be calculated from the position information for each time. Data of intermediate processes such as moving speed and moving distance may be acquired. For example, the server device may include an acquisition unit, and the acquisition unit may acquire position information for each time from the mobile terminal, or an intermediate process such as a movement speed or a movement distance calculated from the position information for each time. You may acquire the data. And a server apparatus should just perform the residence area selection process using the data acquired from the portable terminal, and should output the result to the portable terminal which is a client.

DESCRIPTION OF SYMBOLS 100 Living area selection apparatus 110 Communication part 120 Storage part 121 Map information storage part 122 Area information storage part 123 Collected data storage part 130 Control part 131 1st exclusion part 132 Calculation part 133 2nd exclusion part 134 Output part N network

Claims (8)

A first excluding unit that excludes information corresponding to a route position of public transport from the position information of each time of the mobile terminal linked to the identification information of the user;
A calculating unit for calculating a moving speed for each time of the mobile terminal from position information for each time of the excluded mobile terminal;
When the movement speed of the mobile terminal calculated for each time is less than or equal to the first value, from a list of data in which the region name and the region feature information are linked, A second exclusion unit that excludes data including feature information;
A living area selection device comprising: an output unit that outputs an area name associated with characteristic information of a remaining area.   The second exclusion unit includes feature information of an area where walking movement is difficult when the moving speed of the mobile terminal calculated at each time is equal to or less than a second value smaller than the first value. 2. The residential area selection device according to claim 1, wherein data is excluded.   The second excluding unit may be inconvenient to use a bicycle when the moving speed of the mobile terminal calculated at each time is less than or equal to the first value and greater than the second value. 3. The residential area selecting device according to claim 1, wherein data including characteristic information is excluded.   The second excluding unit is characterized in that it is dangerous to walk or use a bicycle at night when there is a time zone in which the moving speed of the mobile terminal calculated at each time in the night is larger than the first value. 4. The residential area selecting device according to claim 1, wherein data including the data is excluded.   The second exclusion unit, when the moving speed of the mobile terminal calculated at each time is equal to or less than the second value and there is a continuous position information section including zero, the pet owner 4. The living area selecting device according to claim 2, wherein data including characteristic information of an unsuitable area is excluded.   The second excluding unit includes a position other than an intersection in a position where the moving speed is zero in the position information section, a case where the position information section is not within a predetermined distance, and the position information 6. The residential area according to claim 5, wherein, when the number of times the moving speed becomes zero in the section is equal to or greater than a third value, data including characteristic information of an area unsuitable for a pet owner is excluded. Selection device. On the computer,
Exclude information corresponding to the route position of public transport from the location information for each time of the mobile terminal linked to the identification information of the user,
From the positional information of the excluded mobile terminal for each time, the moving speed for each time of the mobile terminal is calculated,
When the movement speed of the mobile terminal calculated for each time is less than or equal to the first value, from a list of data in which the region name and the region feature information are linked, Exclude data containing feature information,
A residential area selection program characterized by executing a process of outputting an area name associated with characteristic information of the remaining area. Computer
Exclude information corresponding to the route position of public transport from the location information of the mobile terminal linked to the identification information of the user for each time,
From the positional information of the excluded mobile terminal for each time, the moving speed for each time of the mobile terminal is calculated,
When the movement speed of the mobile terminal calculated for each time is less than or equal to the first value, from a list of data in which the region name and the region feature information are linked, Exclude data containing feature information,
A method for selecting a residential area, characterized by executing a process of outputting an area name associated with characteristic information of the remaining area.

Images