JP2007233779A - Information processing method and device related to special green space conservation area - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide technology for specifying influence when designating a special green space conservation area. <P>SOLUTION: This information processing method executed by a computer having a database storing data related to a building and data related to a land about each parcel inside a prescribed area includes: a step for receiving the designation of a specific area as a candidate area of the special green space conservation area, and storing it into a storage device; and a step for specifying the parcel satisfying one of a plurality of prescribed conditions showing that possibility of a state change about the building or a use change of the land is strong in the specific area at least by use of the data on each the parcel inside the specific area stored in the database, and storing it into the storage device. Thereby, the parcel affected by the designation of the special green space conservation area is specified. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a technique for calculating a loss compensation amount that can occur when designated as a special green space conservation area.

  The special green space conservation zone system is a system that preserves the current freezing environment by restricting certain activities such as building activities in green spaces that provide a good natural environment in the city (Article 12 of the Urban Green Space Law). The special green space conservation area is planned as a regional area in the City Planning Act. The subject of the decision is a prefecture when it is 10 ha or more, and a municipality when it is less than 10 ha.

When designated as a special green space conservation area, the following actions are restricted. In other words, permission from the prefectural governor is required.
(A) New construction, reconstruction or expansion of buildings and other structures (B) Construction of residential land, land reclamation, collection of debris, mining of minerals and other changes in land characteristics (C) Cutting of bamboo and bamboo (D) Water surface Landfill or reclamation (E) Debris, waste or reclaimed resources deposited outdoors

  In this system, if the land owner is subject to restrictions on the use of the land, the use of the land will be significantly hindered, the prefecture can be offered to compensate the loss and purchase the land. In this case, the prefecture, municipality, or green space management organization buys the land.

  Japanese Patent Laid-Open No. 2003-167484 discloses a technique for flexibly responding to inquiries regarding public works real estate and for easily and quickly searching for book information and map information related to the real estate. Yes. Specifically, in the public works GIS side of this public works real estate ledger information search system, the public works real estate attribute information is accumulated in the real estate ledger database RR for each record specified by the specific attribute information. The record is linked to the real estate location data in the location database GP via the feature database TB. Material information related to public real estate is organized and filed in a material data file DF of the material file system. The document management database FM for managing the document data is linked to the feature database TB by the document file link database FR, and the GIS and the file system are linked to each other. For example, the document information is routed through the database RR → TB → FR → FM. DF can be accessed. However, there is no consideration about special green space conservation areas.

Japanese Patent Laid-Open No. 2005-173683 discloses a technique for easily setting an interrupt condition while imagining a replacement interrupt position by using an image layout matrix that reflects the positional relationship of the previous location. It is disclosed. Specifically, the substitute land interruption processing system uses the block reference line set for the planned block BR as the reference coordinate axis (i), and the location information (i, j) of the previous location assigned to the block BR. In accordance with the position information, the image symbols “1” and “2” corresponding to the previous image are displayed on the image array matrix MX (m, n) in which the row (m) is aligned with the reference coordinate axis (i). , ... is expanded. Then, the matrix MX is edited according to a user operation, and the image areas B1, B2,... Are interrupted in the block BR according to the setting contents of the edited matrix MX. Since the location symbols “1”, “2”,... On the matrix MX reflect the positional relationship of the previous locations, the user can efficiently perform the matrix editing operation and obtain a desired result in a short time. . Even in this publication, no consideration is given to special green space conservation areas.
JP 2003-167484 A JP 2005-173683 A

  Conventionally, as described above, it has been determined whether or not to compensate in accordance with the proposal of the landowner and how much the loss compensation amount is to be compensated. For this reason, it was difficult to budget the costs associated with the designation of a special green space conservation area, and it took a lot of time to determine the special green space conservation area.

  Accordingly, an object of the present invention is to provide a technique for identifying an influence in designating a special green space conservation area.

  An information processing method according to the present invention is an information processing method executed by a computer having a processing device, a storage device, and a database for storing data on land and data on buildings for each brush in a predetermined area, The processing device accepts the designation of a specific area as a candidate area for the special green space conservation area and stores it in the storage device, and the data about at least each brush in the specific area stored in the database by the processing device Identifying a brush that satisfies any of a plurality of predetermined conditions indicating that there is a high possibility of a change in the use of land or a change in the state of a building in a specific district, and storing it in a storage device. Including.

  In this way, brush which is affected by designation of special green space conservation district by specifying brush meeting any of plural predetermined conditions indicating possibility of use change of land or state change about building is high Will be identified.

  In addition, the plurality of predetermined conditions described above is a condition that the ground included in the data relating to the land indicates a residential land, and that the building age included in the data relating to the building is equal to or more than a predetermined year. It may be included. If this condition is met, the possibility of rebuilding or renovation of the building is high, and there is a high possibility of being affected by the special green space conservation area.

  In addition, the plurality of predetermined conditions described above include conditions on the state change of the adjacent brush included in the data on the land or the condition on the state change of the building in the adjacent brush included in the data on the building. You may make it. For example, when the residential land ratio of adjacent brushes increases and the field ratio decreases, or when the field ratio increases and the forest ratio decreases, the brush is also converted into residential land, or the forest becomes a field. This is because there is a high possibility of building a new building.

  Furthermore, the database mentioned above may store the data regarding the land about the brush which the owner of the brush in the said specific area owns in areas other than the said specific area, and the data regarding a building. In that case, the above-mentioned multiple predetermined conditions are the conditions of the data on land or the data on the building regarding the brushes owned by the owner of the brush in the specific area other than the specific area. It may be included. For example, if the land of the same owner is converted into residential land, a forest is used as a field, or a building is built, the same change may occur for the brush.

  In addition, the computer described above may further include a compensation data storage unit that stores parameters for calculating loss compensation. In some cases, the data relating to the land includes data on the texture and area, and the data relating to the building includes data on the structure of the building and the total floor area. Then, by the processing device, the texture and area of the land, the structure and total floor area of the building where the use is restricted in accordance with the conditions specified by the above-mentioned brush, or the texture and area of the land and the structure of the building And the total floor area is read from the database, and the damage of the brush specified by the processing device using the data read from the database and the corresponding parameters stored in the compensation data storage unit corresponding to the data. The method may further include a step of estimating a compensation amount and storing it in a storage device. As a result, the impact in the case of being designated as a special green space conservation area can be quantified as an estimated loss compensation amount.

  Furthermore, in the present invention, the processing device may further include a step of generating and outputting map data of the specific area where the specified brush and the damage compensation amount of the brush can be recognized. By showing such map data, it becomes easy to recognize the influence.

  In addition, the map data may include data representing a condition to which the specified brush is applicable, a classification of the condition, or a property of the classification. In this way, for example, to understand more specifically what kind of impact will be affected, such as whether it is affected by land, whether it is affected by a building, or if a certainty condition is met, for example Will be able to.

  A program for causing a computer to execute the method according to the present invention can be created, and the program is stored in a storage medium or storage device such as a flexible disk, a CD-ROM, a magneto-optical disk, a semiconductor memory, or a hard disk. Is done. In some cases, digital signals are distributed over a network. Note that data being processed is temporarily stored in a storage device such as a computer memory.

  According to the present invention, it becomes possible to specify an influence when designating a special green space conservation area.

  FIG. 1 shows a system outline diagram according to an embodiment of the present invention. For example, the network 1 that is an intranet includes, for example, one or a plurality of input terminals 3 that are, for example, personal computers installed in a prefectural or municipal office, and a loss compensation amount calculation device that performs main processing in the present embodiment. 5 is connected. For example, a web (Web) browser is installed in the input terminal 3, and the loss compensation amount calculation apparatus 5 is accessed from the web browser. However, a dedicated client program may be installed in the input terminal 3 so that the dedicated client program accesses the loss compensation amount calculation apparatus 5. The loss compensation amount calculation apparatus 5 is provided in the registry office system 500, for example, and can access a registry DB 53, a registry map DB 55, and a building drawing DB 54 included in the registry system 500. Even if it is provided outside the registry office system 500, it is sufficient if the loss compensation amount calculation device 5 is accessible.

  The loss compensation amount calculation apparatus 5 includes a surrounding situation management DB 57 that holds necessary data in the present embodiment, and a registry map DB search unit that extracts necessary data from the registry map DB 55 and registers it in the surrounding situation management DB 57. 51, a first registration DB search unit 52 that extracts necessary data from the registration DB 53 and the building drawing DB 54 and registers it in the surrounding situation management DB 57, and necessary data about other districts other than the designated district from the registration DB 53. Using the data stored in the second registration DB search unit 56 that extracts and executes processing for the registry map map search unit 51 and the first registration DB search unit 52, and data stored in the surrounding situation management DB 57, the adjacent residential land Rate, adjacent field rate, adjacent forest rate, adjacent building rate, etc. are calculated and stored in the adjacent state management DB 57 and the adjacent state management DB 57. The brush of the same owner is identified based on the data of the owner, and the owner housing land ratio, owner field ratio, owner forest ratio, owner building ratio, etc. are calculated for the same owner, and the surrounding situation. To the same owner brush status confirmation unit 60 stored in the management DB 57, a compensation calculation master 61 storing data for loss compensation calculation, a surrounding situation management DB 57, a registry map DB 55, and a compensation calculation master 61 A loss amount map generation unit 59 that calculates the predicted value of the loss compensation amount in the special green space conservation area using the stored data and generates a loss amount map is provided.

  An example of data stored in the peripheral situation management DB 57 is shown in FIG. In the example of FIG. 2, a lot number area (for example, ABCD city), a lot number (A, B, C, D, E, F, G, H, b, etc.), and an acquisition date (2005/02/01, etc.) , Ground (such as residential land), land area, roadway conditions (such as 2.0m), adjacent brush (adjacent brush lot number), building presence, building age, total floor area, structure (wooden) Etc.), owner, owner identification number, adjacent land ratio, adjacent field ratio, adjacent forest ratio, adjacent building ratio, owner residential land ratio, owner field ratio, owner forest ratio In addition, the owner building rate and the compensation amount are registered. Adjacent residential land ratio, adjacent field ratio, adjacent forest ratio and adjacent building ratio are treated as “highly accurate” in the extraction of the target for calculating the amount of loss compensation, and the owner residential land ratio, owner field ratio, owner The forest ratio and owner building ratio are treated as “low accuracy” in the extraction of targets for calculating loss compensation. In addition, not only the loss amount but also data on the grounds for calculating the damage amount may be registered.

  As described above, for each area number, at regular or arbitrary timing, the texture, land area, roadway condition, adjacent brush, building presence, building age, total floor area, structure, owner, owner identification number, adjacent The residential land ratio, adjacent field ratio, adjacent forest ratio, adjacent building ratio, owner residential land ratio, owner field ratio, owner forest ratio, owner building ratio, compensation amount, etc. are registered. The data construction of the surrounding situation management DB 57 will be described in detail below.

  An example of the connection table included in the registry map DB 55 is shown in FIG. In the example of FIG. 3, a lot number area (for example, ABCD city), a lot number, a point number 1, and a point number 2 are registered. In this way, for each brush, the point numbers of both end points of the brush boundary line constituting the brush are registered.

  An example of the coordinate value table included in the registry map DB 55 is shown in FIG. In the example of FIG. 4, a point number, a coordinate value X1, and a coordinate value Y1 are registered.

  An example of the brush attribute table included in the registry map DB 55 is shown in FIG. In the example of FIG. 5, lot number areas, lot numbers, lots, and areas are registered. In this way, the texture and area are registered for each lot number.

  An example of the land table included in the compensation calculation master 61 is shown in FIG. In the example of FIG. 6, lot number areas, lots, roadway conditions, and prices are registered. As described above, the unit price is registered for each lot number zone, each grid, and each roadway condition (that is, roadway distance).

  An example of the floor area table included in the compensation calculation master 61 is shown in FIG. In the example of FIG. 7, the total floor area and the transaction price are registered. Thus, the unit price of the transaction price is registered for each section of the total floor area.

  An example of the building age table included in the redemption calculation master 61 is shown in FIG. In the example of FIG. 8, the building age and the coefficient are registered. Thus, the coefficient used when calculating the loss compensation amount is registered for each building age category.

  An example of the other coefficient table included in the compensation calculation master 61 is shown in FIG. In the example of FIG. 9, the structure and the coefficient are registered. Thus, the coefficient used when calculating the loss compensation amount is registered for each structure.

  An example of data stored in the registration DB 53 is shown in FIG. In the example of FIG. 10, the lot number area, lot number, house number, owner, registration cause and date, and structure are registered. That is, for each lot number and each registration, the house number, owner, registration cause, date and structure thereof are registered.

  An example of data stored in the building drawing DB 54 is shown in FIG. In the example of FIG. 11, a lot number area, lot number, house number, and total floor area are registered. That is, a house number, a total floor area, etc. are registered for every lot number.

  In the following description, the state is as shown in FIGS. 12A and 12B on February 1, 2005, and FIGS. 13A and 13B are shown on February 1, 2006. It is assumed that the state shown in FIG. In FIG. 12A, in ABCD city, lot number A is a residential land with a building, lot number B is a field, lot number C is a field, lot number D is a field, lot number F is a forest, lot number E Is a residential land with no buildings, lot number G is a forest, lot number H is also a forest. Note that lot numbers B, C, E, G, and H are connected. However, although not shown, it is assumed that the lot number A is also connected. In FIG. 12B, in EFG city, lot number a is a forest, lot number b is a forest, and lot number c is a field. The lot number F of ABCD city and the lot number b of EFG city are the same as the owner X.

  On the other hand, in FIG. 13A, in ABCD city, lot number B is changed to residential land (no building), and lot number E is changed to residential land (with building). Moreover, in FIG.13 (b), the lot number b is changed into the field in EFG city.

  Next, the processing flow of the system shown in FIG. 1 will be described with reference to FIGS. First, the user operates the input terminal 3 to input a lot number area (for example, ABCD city) in which an estimated value of the loss compensation amount in the special green space conservation district system is to be calculated. The input terminal 3 receives an input of the lot number area and transmits it to the loss compensation amount calculation device 5. The loss compensation amount calculation device 5 receives the lot number area information from the input terminal 3, and stores it in a storage device such as a main memory (step S1). In addition, the process after step S1 shall be performed regularly (for example, every year or every month).

  Next, the registry map DB search unit 51 extracts the adjacency status data together with the lot number, area, and area for the designated lot number area from the registry map DB 55 and registers them in the surrounding status management DB 57 (step S3). If a specific example is followed, the data of a lot number, a lot, and an area will be read from the brush attribute table of the registry map DB55 shown in FIG. Then, data as shown in FIG. 15 is stored in the peripheral situation management DB 57. For the lot numbers A to H, the acquisition date (processing date), the texture, and the area are registered.

  Furthermore, the registry map DB search part 51 specifies the lot number in the connection table (FIG. 3) of the registry map DB55 one by one in order from the top. For example, the lot number A is specified. Thereafter, the writing boundary point (point number (T1, T2, T3, T4 in this example)) for the lot number is specified. And the lot number which shares any of the specified point numbers is specified in a connection table. Then, as shown in FIG. 16, the lot number B and the lot number C are identified in the lot number B and the lot number C in order to share any writing boundary point of the identified lot number A. As a result, adjacent lot numbers are specified. This is performed for all lot numbers.

  Moreover, the registry map DB search part 51 specifies the stroke line (a group of two point numbers) which comprises a road in the connection table (FIG. 3) of the registry map DB 55, and compares with the stroke line which comprises each number. To identify common brush strokes. Then, the coordinate value of the specified common brush stroke line is specified from the coordinate value table (FIG. 4) of the registry map DB 55, and the length of the brush stroke line is calculated from the coordinate value. For example, the brush stroke lines “T3T4”, “T4T6”, “T6T5”, and “T5T3” of the lot number B are common to the brush stroke lines “T6T5” of the road, so the coordinate values of T5 and T6 are read to calculate the length of T6T5. In addition, although the lot number A is not illustrated, it is assumed that a 2.0 m contact road is calculated.

  Therefore, when processing up to the lot number A, data as shown in FIG. 17 is registered in the peripheral situation management DB 57.

  If such a process is repeated for the designated lot number area, data as shown in FIG. 18 is registered in the surrounding situation management DB 57.

Next, the first registration DB search unit 52 extracts the building information of the designated lot number area, the owner information of the brush and the new construction date from the registration DB 53 and the building drawing DB 54, and determines the building age from the new construction date. It is calculated and registered in the surrounding situation management DB 57 together with the building information and the owner information of the brush (step S5). Specifically, for example, the registration DB 53 as shown in FIG. 10 is searched to determine whether there is a record in which the house number is assigned for each place number. If the record exists, the structure of the building is determined. Identify. In the example of the lot number A in FIG. 10, the record of the house number 100 is specified, and the owner A and the wooden structure are specified from the record. Further, the date of new construction is specified in “Registration cause and date” in the record, and the age of the building is specified from the difference from the processing date and time. In the example of lot number A in FIG. 10, a record newly built on August 27, 1965 is specified, and if the processing date is February 1, 2005, the age of 40 years (rounded up to less than one year) is specified. Further, the building drawing DB 54 (FIG. 11) is searched to extract the data of the total floor area in each place number where it is determined that the building exists. In the example of FIG. 11, in the case of house number 100 of lot number A, 80.0 m ² is specified.

  When such a process is performed for the lot number A, data as shown in FIG. 19 is registered in the peripheral situation management DB 57.

  Further, the second registration DB search unit 56 searches the registration DB 53 for the owners registered in the surrounding situation management DB 57, and when the presence of the brush of the same owner in another district is specified, the registration map map DB search is performed. The unit 51 and the first registration DB search unit 52 are caused to extract the lot number, the lot and area and the adjacent situation data relating to the brush of the same owner, and register them in the surrounding situation management DB 57 (step S7). Specifically, the data of other districts of the registration DB 53 are searched by the owners of the local numbers registered in the surrounding situation management DB 57 to determine the presence of the brush of the same owner. For example, in the case of the registration DB 53 shown in FIG. 10, since the owner X of the lot number F in ABCD city is registered as the owner of the lot number b in EFG city, the owner identification number “001” is issued to this owner. And registering it in the surrounding situation management DB 57, and causing the registry map DB search unit 51 and the first registration DB search unit 52 to perform the processes of steps S3 and S5 on the lot numbers of other districts owned by the owner X. Data as shown in FIG. 20 is registered in the peripheral situation management DB 57. In addition, since data about other districts may not be used except for the presence and presence of buildings, the registration drawing DB search unit 51 extracts only the backgrounds, and the first registration DB search unit 52 extracts only the presence or absence of buildings. You may make it make it.

  Then, the adjacent brush status confirmation unit 58 uses the ratio of the adjacent brush texture (adjacent residential land ratio, adjacent tabata ratio, adjacent forest ratio) and the adjacent brush building existence ratio for each brush registered in the surrounding situation management DB 57. A certain adjacent building rate is calculated and registered in the surrounding situation management DB 57 (step S9). When data as shown in FIG. 20 is registered in the surrounding situation management DB 57, for example, the adjacent residential land ratio of the lot number C is (lot number A (house land) + lot number E (house land)) / (lot number A (house land) + It is calculated that lot number B (field) + lot number D (field) + lot number E (residential land) = 0.5, and the adjacent field ratio of lot number C is (lot number B (field) + lot number D (field)) / (Lot number A (house land) + Lot number B (field) + Lot number D (field) + Lot number E (residential land)) = 0.5. Further, the adjacent forest ratio of lot number C is calculated as 0. The adjacent building ratio of lot number C is calculated as (lot number A (house land)) / (lot number A (house land) + lot number B (field) + place number D (field) + place number E (house land)) = 0.25. If the calculation is performed, data as shown in FIG. 21 is registered in the peripheral situation management DB 57.

  In addition, the same-owner brush status confirmation unit 60 determines the ratio of the texture of the brush related to the same owner for each brush registered in the peripheral status management DB 57 (owner housing land ratio, owner field ratio, owner forest ratio). ) And the owner building ratio, which is the building presence ratio, is registered in the surrounding situation management DB 57 (step S11). When data as shown in FIG. 21 is registered in the surrounding situation management DB 57, the lot number F of ABCD city and the lot number b of EFG city owned by the owner X of the owner identification number 001 are mountain forests. The percentage of the forest is 100%, and the other ratio is 0%. Accordingly, data as shown in FIG. 22 is registered in the peripheral situation management DB 57.

  The description so far has described the process for February 1, 2005. However, if such a process is periodically performed, the data is accumulated in the peripheral status management DB 57 each time. For example, for two years, data as shown in FIG. 2 (excluding loss data) is obtained.

  Next, the loss amount map generation unit 59 searches the surrounding situation management DB 57 to identify brushes that satisfy a predetermined condition, calculates an estimated loss compensation amount, registers the estimated loss compensation amount in the surrounding situation management DB 57, and stores it in the registry map DB 55. A loss map is generated using the stored registry map data, and is output as a printed matter or as Web page data to the input terminal 3 (step S13).

  In step S13, a brush with a high possibility of a state change about buildings, such as a use change and reconstruction, is specified. This is because if it is designated as a special green space conservation area, it will not be possible to change its use, renovation, or expansion, and it will be necessary to compensate for losses associated with such use restrictions. Conditions that there is a high possibility of usage change, reconstruction, or extension are: (1) “Ground = residential land” and “There is a building” and “Building age is greater than the specified standard”, (2) “Ground ≠ residential land” and “adjacent” “Rise of brush house land ratio” and “Adjacent brush field field ratio decreases”, (3) “Adjacent brush field field ratio increases” and “Adjacent brush mountain forest ratio decreases” and “Geo = Mountain forest”, (4) “Goku = Residential land” "And no buildings" and "increased adjacent building ratio", (5) "increased owner land ratio" and "decreased owner field ratio", (6) "increased owner field ratio" and It includes the conditions that “the ratio of forests with the same owner is reduced”, (7) “Ground = residential land”, “no building”, and “the ratio of buildings with the same owner is increased”.

  In the case of (1), it is judged that there is a high possibility of reconstruction of buildings and other structures, and the value of land and building is calculated as an estimated value of loss compensation. In the example of FIG. 2, the lot number A of ABCD city corresponds to this case (see FIG. 23). The loss amount map generation unit 59 identifies the lot number A of ABCD city in the surrounding situation management DB 57, extracts the data of “place mark” and “closed road condition” of the lot number A, and uses the extracted data as the land of the reimbursement calculation master 61. The table (FIG. 6) is searched to read the corresponding unit price. Further, the “area” of the lot number A is read from the surrounding situation management DB 57, and the compensation amount for the land is calculated by unit price × area. Further, the “total floor area”, “building age”, and “structure” of the lot number A are extracted from the surrounding state management DB 57, and the floor area table, the building age coefficient table, and other coefficient tables of the compensation calculation master 61 are searched with the extracted data. Read out the unit price, the coefficient related to the building age and the coefficient related to the structure. Then, the compensation amount for the building is calculated by the unit price × the coefficient relating to the building age × the coefficient relating to the structure. Finally, a value obtained by adding the compensation amount for the land and the compensation amount for the building is registered in the surrounding situation management DB 57.

  In the case of (2), it is judged that the possibility of land creation is high, and the value of the land is calculated as an estimated value of loss compensation. In the example of FIG. 2, the lot number C of ABCD city corresponds to this case (see FIG. 23). The loss amount map generation unit 59 identifies the lot number C of ABCD city in the surrounding situation management DB 57, extracts the “landmark” and “closed road condition” data of the lot number C, and uses the extracted data as the land of the compensation calculation master 61. The table (FIG. 6) is searched to read the corresponding unit price. Further, the “area” of the lot number C is read from the surrounding situation management DB 57, calculated as a compensation amount by unit price × area, and registered in the surrounding situation management DB 57.

  In the case of (3), it is determined that there is a high possibility of reclamation, and the value of land is calculated as an estimated value of loss compensation. In the example of FIG. 2, the lot number G of ABCD city corresponds to this case (see FIG. 23). The loss amount map generation unit 59 identifies the lot number G of ABCD city in the surrounding situation management DB 57, extracts the data of the “location” and the “closed road condition” of the lot number G, and uses the extracted data as the land of the compensation calculation master 61. The table (FIG. 6) is searched to read the corresponding unit price. Further, the “area” of the lot number G is read from the surrounding situation management DB 57, calculated as a compensation amount by unit price × area, and registered in the surrounding situation management DB 57.

  In the case of (4), it is determined that there is a high possibility of building a new building, and the value of the land is calculated as an estimated value of loss compensation. In the example of FIG. The processing content is basically the same as (3).

  In the case of (5), in the surrounding situation management DB 57, among the sets of the same owner identification numbers in which various ratios have been changed, the lot number satisfying the above conditions is set for land creation, etc. Judge that the possibility is high, and calculate the estimated value of loss compensation for the value of the land. In the example of FIG. The processing content is the same as (3).

  In the case of (6), it is judged that the possibility of land creation is high, and the value of the land is calculated as an estimated value of loss compensation amount. In the example of FIG. 2, the lot number F of ABCD city corresponds to this case (see FIG. 23). The loss amount map generation unit 59 identifies the lot number F of the ABCD city in the surrounding situation management DB 57, extracts the data of the “location mark” and the “closed road condition” of the lot number F, and uses the extracted data as the land of the compensation calculation master 61. The table (FIG. 6) is searched to read the corresponding unit price. Further, the “area” of the lot number F is read from the surrounding situation management DB 57, calculated as a compensation amount by unit price × area, and registered in the surrounding situation management DB 57.

  In the case of (7), it is judged that the possibility of land creation is high, and the value of the land is calculated as an estimated value of the loss compensation amount. In the example of FIG. The processing content is basically the same as (6).

  By carrying out such processing, it is possible to appropriately extract a brush with a high possibility of changing the state of the building such as usage change or reconstruction, and register the estimated value of the loss compensation amount in the surrounding situation management DB 57. . Although not shown in FIG. 2, information for identifying the reason why the estimated value of the loss compensation amount is registered is also registered. Or, in the case of (1) to (4), it is considered that the accuracy is high, so in the case of (5) to (7), the accuracy is considered to be low. Register data indicating low.

  FIG. 23 shows data in the peripheral state management DB 57 reflecting the processing results so far. The reason for calculating the amount of loss is marked with the reason.

  And the figure of the designated lot number area is produced | generated using the data of the connection table in the registry map DB55, and a coordinate value table. Furthermore, a record in which the amount of loss is registered in the surrounding situation management DB 57 is extracted, and a mark (such as high accuracy or low accuracy) about a new construction such as a building, etc., each building, etc., from each record A mark (either high accuracy or low accuracy) for renovation, and a mark (high accuracy or low accuracy) about land, and a mark (high accuracy or accuracy) according to the estimated value of loss compensation One of the low). The mark represents a possibility of causing a restriction of use. Then, for example, a diagram as shown in FIG. 24 is generated and output.

  In the example of FIG. 24, the lot number A corresponds to (1), so the mark 101 for land such as the construction of residential land, the mark 103 for reconstruction of buildings, etc., and the mark corresponding to the estimated value of loss compensation 104 is attached. Since lot number C corresponds to (2), mark 101 for land such as residential land, mark 102 for new construction, etc., and mark 104 corresponding to the estimated value of loss compensation are attached. ing. Further, since the lot number G corresponds to (3), a mark 101 for building residential land and the like and a mark 104 corresponding to the estimated value of loss compensation amount are attached. Up to this point, the mark is filled because of the high accuracy. On the other hand, lot number F corresponds to (6), so mark 101 for land such as residential land creation and mark 104 corresponding to the estimated value of loss compensation are attached, but this is because the accuracy is low. Is not painted.

  If you look at such a diagram, for example, the person in charge of the prefecture or municipality can identify the brush that will be affected if this lot number area is designated as a special green space conservation area, and can estimate the cost required It becomes like this.

  Although the embodiment of the present invention has been described above, the present invention is not limited to this. For example, the processing flow shown in FIG. 14 is a flow shown to explain the entire processing. For example, for steps S3 to S11, the loss compensation amount calculation device 5 automatically performs periodic processing. When there is an instruction from the input terminal 3, the processing result may be returned by executing step S13 using the data already registered in the surrounding situation management DB 57.

  Moreover, the functional block of the loss compensation amount calculation apparatus 5 shown in FIG. 1 is an example, and does not necessarily correspond to an actual program module.

  Further, the loss compensation amount calculation device 5 and the input terminal 3 are computer devices as shown in FIG. 25, and include a memory 2501 (storage device), a CPU 2503 (processing device), a hard disk drive (HDD) 2505, and a display device 2509. A display control unit 2507 to be connected, a drive device 2513 for the removable disk 2511, an input device 2515, and a communication control unit 2517 for connecting to a network are connected by a bus 2519. An operating system (OS: Operating System) and an application program for performing processing in the present embodiment are stored in the HDD 2505, and are read from the HDD 2505 to the memory 2501 when executed by the CPU 2503. If necessary, the CPU 2503 controls the display control unit 2507, the communication control unit 2517, and the drive device 2513 to perform necessary operations. Further, data in the middle of processing is stored in the memory 2501 and stored in the HDD 2505 if necessary. In the embodiment of the present invention, an application program for performing the processing described above is stored in the removable disk 2511 and distributed, and is installed in the HDD 2505 from the drive device 2513. In some cases, the HDD 2505 may be installed via a network such as the Internet and the communication control unit 2517. Such a computer apparatus realizes various functions as described above by organically cooperating hardware such as the CPU 2503 and the memory 2501 described above, the OS, and necessary application programs.

(Appendix 1)
An information processing method executed by a computer having a processing device, a storage device, and a database for storing data on land and data on buildings for each brush in a predetermined area,
By the processing device, receiving a designation of a specific district as a candidate district for a special green space conservation district, and storing in the storage device;
There is a high possibility of changing the use of land or changing the state of buildings in the specific area by using data on at least each brush in the specific area stored in the database by the processing device. Identifying a brush that satisfies any one of a plurality of predetermined conditions indicating that, and storing the brush in the storage device;
An information processing method including:

(Appendix 2)
The plurality of predetermined conditions include a condition that a ground included in the data relating to the land indicates a residential land, and a building age included in the data relating to the building is equal to or greater than a predetermined year. Information processing method.

(Appendix 3)
The plurality of predetermined conditions include a condition regarding a state change of an adjacent brush included in the data regarding the land, or a condition regarding a state change of the building in the adjacent brush included in the data regarding the building.
The information processing method according to attachment 1.

(Appendix 4)
In the database, the owner of the brush in the specific district stores the data on the land and the data on the building about the brush owned in the district other than the specific district,
The information processing method according to claim 1, wherein the plurality of predetermined conditions include data conditions related to land or building data regarding a brush owned by a brush owner in the specific area other than the specific area. .

(Appendix 5)
The data regarding the land of the brush owned by the owner of the brush in the specific district in a district other than the specific district includes data regarding the time change of the texture relating to the brush of the same owner
The information processing method according to claim 4, wherein the plurality of predetermined conditions include a condition based on data relating to a temporal change in the texture.

(Appendix 6)
The data on the building of the brush owned by the owner of the brush in the specific district in a district other than the specific district includes data on temporal changes in the presence or absence of the building pertaining to the brush of the same owner,
The information processing method according to claim 4, wherein the plurality of predetermined conditions include a condition based on data relating to temporal changes in the presence or absence of the building.

(Appendix 7)
The computer further includes a compensation data storage unit for storing parameters for loss compensation calculation,
The data relating to the land includes data of area and area,
The data relating to the building includes data on the structure and total floor area of the building,
The land and area of the land, the structure and the total floor area of the land where the use is restricted in accordance with the conditions to which the specified brush is applicable by the processing device, the structure and the total floor area of the land, and the structure of the building and Reading the total floor area from the database;
The processing device estimates the damage compensation amount of the specified brush using the data read from the database and the corresponding parameter stored in the compensation data storage unit corresponding to the data, and the storage device Storing in the step,
The information processing method according to appendix 1, further comprising:

(Appendix 8)
The information processing method according to appendix 7, further comprising: generating and outputting map data of the specific area where the processing device can recognize the specified brush and the damage compensation amount of the brush.

(Appendix 9)
The information processing method according to claim 8, wherein the map data includes data representing a condition to which the specified brush is applicable, a classification of the condition, or a property of the classification.

(Appendix 10)
A step of periodically extracting data from a registry map database, a registry database, and a building drawing database by the processing device, generating data on the land and data on the building, and registering the data in the database; The information processing method according to appendix 1.

(Appendix 11)
A program for causing a computer to execute the information processing method according to attachments 1 to 10.

(Appendix 12)
A database that stores data on land and data on buildings for each brush in a given area;
Means for accepting designation of a specific district as a candidate for a special green space conservation district and storing it in a storage device;
A plurality of data indicating that the use of land or the state of buildings in the specific area is highly likely to be changed in the specific area by using data about each brush in the specific area stored in the database. Means for identifying a brush satisfying any of the predetermined conditions and storing the brush in the storage device;
An information processing apparatus.

It is a figure for demonstrating the system outline | summary which concerns on embodiment of this invention. It is a figure which shows an example of the data stored in peripheral condition management DB. It is a figure which shows an example of the connection table of registry office map DB. It is a figure which shows an example of the coordinate value table in registry map DB. It is a figure which shows an example of the brush attribute table in a registry map DB. It is a figure which shows an example of the land table of a payment calculation master. It is a figure which shows an example of the floor area table of a payment calculation master. It is a figure which shows an example of the building age table of a payment calculation master. It is a figure which shows an example of the other coefficient table of a payment calculation master. It is a figure which shows an example of the data stored in registration DB. It is a figure which shows an example of the attribute table of building drawing DB. (A) It is a figure showing the state of February 1, 2005 of ABCD city, (b) It is a figure showing the state of February 1, 2005 of EFG city. (A) It is a figure showing the state of February 1, 2006 of ABCD city, (b) It is a figure showing the state of February 1, 2006 of EFG city. It is a figure which shows the processing flow which concerns on embodiment of this invention. It is a figure which shows an example of the data stored in the periphery condition management DB after the process of a registry office map DB search part is complete | finished. It is a figure for demonstrating the process using registry map DB. It is a figure which shows an example of the data stored in the periphery condition management DB after completion | finish of the process of the registry map DB search part about the lot number A of ABCD city. It is a figure which shows an example of the data stored in the periphery condition management DB after the process completion by the registry map DB search part. It is a figure which shows an example of the data stored in the periphery condition management DB after the process completion by the 1st registration DB search part. It is a figure which shows an example of the data stored in the periphery condition management DB after collecting the data about another district by the registry map DB search part. It is a figure which shows an example of the data stored in the periphery condition management DB after collecting the data about another district by the 1st registration DB search part. It is a figure which shows an example of the data stored in the periphery situation management DB after the process completion of the same owner writing situation confirmation part. It is a figure which shows an example of the data stored in the periphery condition management DB after calculation of the loss compensation amount. It is a figure which shows an example of a loss amount map. It is a functional block diagram of a computer.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Network 3 Input terminal 5 Loss compensation amount calculation apparatus 51 Registry map DB search part 52 1st registration DB search part 53 Registration DB
54 Building Drawing DB
55 Registry Map DB
56 Second registration DB search unit 57 Surrounding situation management DB
58 Adjacent writing brush status checking unit 59 Loss amount map generating unit 60 Same owner writing status checking unit 61 Payment calculation master 500 Registry office system

Claims (5)

An information processing method executed by a computer having a processing device, a storage device, and a database for storing data on land and data on buildings for each brush in a predetermined area,
By the processing device, receiving a designation of a specific district as a candidate district for a special green space conservation district, and storing in the storage device;
There is a high possibility of changing the use of land or changing the state of buildings in the specific area by using data on at least each brush in the specific area stored in the database by the processing device. Identifying a brush that satisfies any one of a plurality of predetermined conditions indicating that, and storing the brush in the storage device;
An information processing method including: The plurality of predetermined conditions include a condition that a ground included in the data relating to the land indicates a residential land, and a building age included in the data relating to the building is equal to or greater than a predetermined year. Information processing method. The plurality of predetermined conditions include a condition regarding a state change of an adjacent brush included in the data regarding the land, or a condition regarding a state change of the building in the adjacent brush included in the data regarding the building.
The information processing method according to claim 1. The computer further includes a compensation data storage unit for storing parameters for loss compensation calculation,
The data relating to the land includes data of area and area,
The data relating to the building includes data on the structure and total floor area of the building,
The land and area of the land, the structure and the total floor area of the land where the use is restricted in accordance with the conditions to which the specified brush is applicable by the processing device, the structure and the total floor area of the land, and the structure of the building and Reading the total floor area from the database;
The processing device estimates the damage compensation amount of the specified brush using the data read from the database and the corresponding parameter stored in the compensation data storage unit corresponding to the data, and the storage device Storing in the step,
The information processing method according to claim 1, further comprising: A database that stores data on land and data on buildings for each brush in a given area;
Means for accepting designation of a specific district as a candidate for a special green space conservation district and storing it in a storage device;
A plurality of data indicating that the use of land or the state of buildings in the specific area is highly likely to be changed in the specific area by using data about each brush in the specific area stored in the database. Means for identifying a brush satisfying any of the predetermined conditions and storing the brush in the storage device;
An information processing apparatus.

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