KR20130095979A - Method and system for distinguishing of boundaries of trading areas using density of commercial facility - Google Patents
Method and system for distinguishing of boundaries of trading areas using density of commercial facility Download PDFInfo
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- KR20130095979A KR20130095979A KR1020120017434A KR20120017434A KR20130095979A KR 20130095979 A KR20130095979 A KR 20130095979A KR 1020120017434 A KR1020120017434 A KR 1020120017434A KR 20120017434 A KR20120017434 A KR 20120017434A KR 20130095979 A KR20130095979 A KR 20130095979A
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Abstract
Description
The present invention relates to a method and a system for identifying a central business district boundary, and more particularly, to a method and system for identifying a boundary and hierarchy of a central business district using density and hydrological modeling of a commercial facility.
Conventional commercial area analysis is implemented in a way that the cognitive method of spatial location is dependent on the unit of administrative district. Therefore, the analysis of the commercial area was carried out based on administrative dong or city-gun district even in the boundary identification and spatial structure analysis of commercial area.
If the administrative area is used as an analysis unit, there is a problem that the main roads, etc., which are the actual centers, appear as boundary lines, which makes it difficult to actually grasp the extent or boundary of the commercial area.
In addition, the conventional boundary and hierarchy identification method of the central metropolitan area is not practical because the objective and accurate boundary and hierarchy of the central metropolitan area cannot be grasped without considering the density flow of the actual commercial facility.
Therefore, there is a need for a practical analysis method that can grasp the center of gravity in an uneven city space and objectively identify the boundaries and hierarchies between centers.
An object of the embodiment of the present invention to improve the above-mentioned problem is to apply the hydrological modeling technique to analyze the flow of water to identify the upper boundary and hierarchy of the target area to grasp the boundary and hierarchy of the objective and accurate center area in the real space It is to provide a method and system for identifying the central business boundary using a commercial density.
Another object of the present invention for improving the above-mentioned problem is to identify the upper-boundary boundary by analyzing the slope of the density using the high and low density of the grid-specific density of the target area and the relationship with the distribution of administrative districts in uneven city space. It is to provide a method and system for identifying the central business district boundary using the density of commercial facilities to identify the commercial boundary.
Another object of the embodiment of the present invention for improving the above-mentioned problem is to identify the upper center of high centrality according to the setting of the search radius, and through this to identify the hierarchy between the upper right by easily identifying the ranking of the commercial area in the target area for each search radius It is to provide a method and system for identifying the central business area boundary using the density of commercial facilities.
According to an embodiment of the present invention, a method for identifying a central business district boundary using a density of commercial facilities according to an embodiment of the present invention is a business boundary boundary identification method of a commercial boundary boundary identification system. Step of constructing the density data by grid, and considering the distribution of the commercial facility as the flow of water using the grid-specific density data, applying hydrological modeling to analyze the flow of water, and the flow and basin of the upper boundary within the target area. And generating a business boundary of the target area through the watershed.
The density data construction step uses the kernel density function to generate the grid-specific density values and subtract the grid-density data based on the high and low differences of the grid-density values generated by subtracting the density value of each grid from the maximum value. It is preferable that it is a construction step.
In this case, the density data building step may include setting the size of the grid, setting a search radius for obtaining the density value for each grid, and setting the grid value and the density value for each grid generated for each grid radius, More preferably, it is a step of building density data for each lattice using the low difference.
The basin generation step may include generating density flow direction data and density flow accumulation data using high and low differences of the density values of the grids, and a phase boundary boundary flow of the target region using the density flow direction data and accumulated data. It is desirable to identify and generate a watershed.
On the other hand, the merchant boundary identification method may further comprise the step of identifying the rank of the hierarchy using the density value according to the search radius and the number of commercial facilities.
According to an embodiment of the present invention, a system for identifying a center area border using commercial facility density according to an embodiment of the present invention is distributed density data for constructing a distribution of commercial facilities in a target area for grid area density data. Constructor, hydrologic analysis unit for generating the flow and watershed of the upper boundary within the target area by applying the hydrological modeling to analyze the flow of water after considering the distribution of commercial facilities as the flow of water using the density data for each grid And a commercial boundary boundary identification unit for identifying a commercial boundary of the target area through the watershed.
The distribution density data construction unit generates a grid density value by using a kernel density function and subtracts the grid density data based on the high and low difference of the grid density value generated by subtracting the density value of each grid from the maximum value. It is desirable to build.
In this case, the distribution density data construction unit sets the size of the grid, sets a search radius for obtaining the density value for each grid, and uses the high and low differences of the grid values generated for each grid size and the search radius. It is more preferable to construct density data for each lattice.
The hydrologic analysis performing unit generates density flow direction data and density flow accumulation data using high and low differences of the density values of the grids, and uses the density flow direction data and the accumulated data to generate a boundary boundary flow of the target region. It is desirable to identify and generate watersheds.
On the other hand, the commercial zone boundary identification system may further include a commercial hierarchy hierarchy to identify the rank of the hierarchy using the density value and the number of commercial facilities according to the search radius.
The business boundary boundary identification system receives a distribution of commercial facilities of the target area as POI information and displays on the electronic map a geographic information unit including electronic map data of the target area and the identified business boundary of the target area. The display unit may further include.
The identification method and system of the center-boundary boundary using commercial facility density according to an embodiment of the present invention are applied to the hydrological modeling technique that analyzes the flow of water to identify the boundary and hierarchy of the target area. By identifying the boundary and hierarchy of central business districts, it is easy to identify the sphere of influence of individual business districts and improve the practicality of analysis.
According to an embodiment of the present invention, a method and a system for identifying a central business district boundary using a density of a commercial facility according to an embodiment of the present invention are not homogeneous by identifying the business district boundary by analyzing a slope of the density using high and low differences in the density of each grid of a target area. Irrespective of the distribution of administrative districts in the space, it is possible to identify the boundary of the commercial area and use it to analyze the actual demand of commercial facilities.
According to an embodiment of the present invention, a method and a system for identifying a central business district boundary using a density of a commercial facility identify a higher business center having a high centrality according to the setting of a search radius, and identify hierarchies between business districts through this, and thus, identify the hierarchy among the business districts in the target area by search radius. It is easy to identify the ranking of the commercial rights, it is easy to identify the centrality of the actual commercial rights.
1 is a flow chart of the identification method of the central business district boundary using the density of commercial facilities according to an embodiment of the present invention.
2 is a flow chart of the distribution density data construction step according to an embodiment of the present invention.
Figure 3 is a flow chart of the step of performing hydrologic analysis in accordance with an embodiment of the present invention.
Figure 4 is a graph of the commercial density value generation according to an embodiment of the present invention.
5 is an exemplary diagram of a trade border for a first search radius in accordance with one embodiment of the present invention.
6 is an exemplary diagram of a trade border for a second search radius in accordance with one embodiment of the present invention.
7 is an exemplary diagram of a trade border for a third search radius in accordance with one embodiment of the present invention.
8 is an exemplary diagram of the upper-boundary boundary overlap according to an embodiment of the present invention.
9 is an illustration of a superiority hierarchy for a second search radius in accordance with one embodiment of the present invention.
10 is an illustration of a superior hierarchy rank for a second search radius in accordance with one embodiment of the present invention.
11 is a block diagram of a central business district boundary identification system using a commercial facility density according to an embodiment of the present invention.
BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings.
1 is a flowchart of a method for identifying a central business district boundary using a commercial facility density according to an embodiment of the present invention.
Referring to FIG. 1, the identification method of the central business district boundary using the density of commercial facilities is a method of identifying a commercial boundary of a commercial boundary boundary system, and constructing distribution of commercial facilities in a target area for identifying the commercial boundary as density data for each grid. (S20) generating the flow and basin of the upper boundary within the target area by applying hydrological modeling to analyze the flow of water after considering the distribution of the commercial facility as the flow of water using the density data for each grid (S30) And identifying a business boundary of the target area through the watershed (S40).
In addition, the identification method of the central business district boundary may further include a step (S10) of receiving the distribution of commercial facilities of the target area as POI information to build the density data for each grid.
According to a preferred embodiment of the POI information input, each location of the retail store of the target area may be displayed on the electronic map as coordinates and then used as initial data of the density data for each grid.
As a preferable example of the density data construction for each grid, the target area is divided into grids set at a predetermined distance, and the POI information is mapped to density data of commercial facility distribution for each grid using a kernel density function. Can be built.
At this time, when observing the density data, the highest density appears locally in the center and the slope decreases as the distance increases from the center.
In the present invention, the principle that water flows and divides Basin boundaries according to the topographic slope in the hydrology analysis is applied to the boundary division of the upper region to extract the boundary and the hierarchy of the upper region and to map the extracted upper region. Schematic with.
That is, in the present invention, the principle that the watershed is divided according to the slope by using the contour data of the terrain in hydrological modeling is divided into a method of dividing the central area through the density analysis and the slope analysis of the density by using the POI data of the target area. Corresponds to identify boundary and hierarchy of business.
In addition, the present invention continuously expands the search radius required for density analysis when setting the boundary of the commercial zone to identify the upper commercial zones having high centrality, and thereby identify the hierarchy between the commercial zones.
Conventional border boundary identification method does not apply the hydrological method to determine the radius of the upper right of the administrative area is set to the basic unit did not consider the various forms of actual urban space.
In addition, the conventional boundary-right boundary identification method sets the reference point of the distance measurement as the center point of the unit area, thereby reducing the objectivity and accuracy, and it is not easy to identify the sphere of influence of each commercial area on the target area because the density flow of the phase is not considered.
On the other hand, the identification method of the upper center boundary of the center according to an embodiment of the present invention applies a hydrological modeling technique that divides the basin boundary by analyzing the flow of water to the identification of the upper boundary and the hierarchy, and thus the boundary of the objective upper center boundary in the real space. Since it is possible to identify the hierarchy and hierarchy, it is easy to identify the sphere of influence of each commercial area and has the advantage of increasing the practicality of the analysis.
2 is a flow chart of the distribution density data construction step according to an embodiment of the present invention.
In an embodiment of the distribution density data building step (S20), a grid is generated by generating a density value for each grid using a kernel density function for a commercial facility in the target area, and subtracting the density value of each grid from the maximum value. It is desirable to construct the grid-specific density data based on the high and low differences in the star density values.
In this case, the distribution density data building step (S20) is more preferably a step of setting the size of the grating (S21), a step of setting a search radius for obtaining the density value for each grating (S22) and the set grating It is preferable to include the step (S23) to build the density data for each grid using the high and low difference of the density value for each grid generated for each size and search radius.
In the present invention, the distribution density data in a form similar to the Digital Elevation Model (DEM) used in the boundary setting process of the watershed unit is constructed by using hydrologic analysis.
4 is an example of a graph of density values for each lattice. When the
As described above, the kernel density function is used to construct such distribution density data. In the present embodiment, the grid size is set to 100 m and the search radius is set to 500 m, 1000 m, and 5000 m, respectively, to identify the boundary of the center area. .
The search radius 500m, 1000m, 5000m are the radius of neighboring house, which is the basic unit of general living zone, 1000m of neighborhood district size, and 5000m, which is based on subcenter function performance radius.
The upper boundary boundary identification method according to an embodiment of the present invention is configured to identify the upper boundary by using a gradient analysis using high and low density of each grid of a target area, regardless of the distribution of administrative regions in the uneven city space. By identifying the boundaries of these systems, they can be used to analyze the demand of commercial facilities.
3 is a flowchart of a hydrological analysis step according to an embodiment of the present invention.
Referring to FIG. 3, the performing of the hydrologic analysis step S30 may include generating density flow direction data and density flow accumulation data using high and low differences of the density values of the grids. S31 and S32, and using the density flow direction data and the cumulative data, it is preferable to include the step (S33, S34) of identifying the upper boundary flow of the target area and generating the watershed.
According to a preferred embodiment, the commercial boundary identification system performing the hydrologic analysis performing step S30 may be configured to include a built-in tool for hydrological analysis.
In addition, as described above with reference to FIG. 2, density flow direction data and flow accumulation data are obtained using distribution density data including high and low differences of the density values of the grids, and the flow of the upper boundary of the target area is identified through the distribution density data. .
As an example of obtaining the density flow direction data and the density flow accumulation data, the direction of the density flow may be obtained by calculating the direction of the slope to the adjacent grid with respect to a predetermined grid and increasing the surrounding grid considering the consideration. The cumulative flow of each grid can be calculated to obtain the density flow cumulative data.
This is preferably performed similarly to the flow direction and flow accumulation analysis used in general hydrologic analysis.
After that, the watershed formed by the flow of boundary of the commercial zone is obtained to identify the commercial zone of the target area, and the hierarchy between the commercial zones is determined according to the area of each commercial zone and the density of commercial facility distribution.
Similar to the density flow direction data and cumulative data, the division of the watershed may use an analysis method used in general hydrologic analysis.
5 to 8 show the analysis results of the upper bounds for each search radius on the electronic map according to the above-described steps, and FIGS. 5 to 7 show the radiuses of the upper bounds to 500 m, 1000 m, and 5000 m, respectively. It shows the boundaries of business.
The upper right area (51, 52, 53) of the neighborhood house size analyzed by the search radius 500m is very densely distributed as shown in FIG. 5, and the upper right area (61, 62) of the result analyzed by the radius 1000m which is the neighborhood area size shown in FIG. 5 is more distributed than FIG. 5, and the
In other words, as the respective search radius is expanded, the number of merchants is smaller and the scale of merchants is wider. The merchants divided by a radius of 500m appear closer to the neighboring house constituents, indicating the boundaries of the small metropolitan centers (51, 52, 53). The scale will increase as we move to higher ranks.
In addition, as shown in Fig. 8, by overlapping the boundary (81, 82, 83) of the commercial zone for each search radius, it is possible to identify that the low-order commercial zones are included in the high-order commercial zone.
In other words, one high-level center and middle-level centers are included in one market area, which corresponds to the principle of inclusion of the central strata, and visually facilitates how the upper-right centers include the back-rights of lower-level centers. I can figure it out.
As described above, the central business district boundary identification method according to an embodiment of the present invention can easily identify the sphere of influence of individual commercial districts by objectively and accurately deriving the commercial boundary of commercial facilities according to a search radius through a hydrological modeling method. This can be easily applied to actual cities, and can be actively used for demand analysis of urban areas or urban regeneration projects.
9 is an illustration of a superiority hierarchy for a second search radius according to an embodiment of the present invention, and FIG. 10 is an illustration of a superiority hierarchy rank for a second search radius according to an embodiment of the present invention.
The central business district boundary identification method may further include identifying a rank of the hierarchy using the density value according to the search radius and the number of commercial facilities.
FIG. 9 is a visual diagram showing on the electronic map the hierarchy identified for the upper right area of the upper right area extracted as a result of analyzing the upper right level with the second search radius of 1000m, and FIG. Details of each commercial area according to the ranking are shown.
According to a preferred embodiment, the rank of the hierarchy may use a value obtained by adding a standardized score by dividing the density of each commercial area and the number of commercial facilities belonging to the commercial area by an average.
9 and 10, it can be seen that the higher the number of commercial facilities, the higher the hierarchy of the commercial area.
That is, referring to FIG. 10, the number of commercial facilities occupied by the 4th rank of the ranks is 5,379, which is higher than the number of commercial facilities in the ranks of
In addition, the present invention has the advantage that it is possible to analyze the boundaries of the upper and lower bounds regardless of the administrative area, as shown in Figure 10, the result of the ranking of the ranking obtained by calculating the ratio of the administrative area included in each commercial area is the centrality analysis This is very valid.
As described above, in the identification method of the central business district boundary according to an exemplary embodiment of the present invention, the upper business districts having high centrality are identified according to the setting of the search radius, and the hierarchical ranks among the business districts are identified and presented through this, and the ranking of the business districts in the target area for each search radius. It is easy to identify the centrality of the real commercial power.
11 is a block diagram of a central business district boundary identification system using a commercial facility density according to an embodiment of the present invention.
Referring to FIG. 11, the commercial border
The distribution density
In this case, the distribution density
The
On the other hand, the merchant
In addition, the commercial
The foregoing embodiments and advantages are merely exemplary and are not to be construed as limiting the present invention. However, the present invention is not limited to the above-described embodiments, and various changes and modifications may be made by those skilled in the art without departing from the scope of the present invention. .
100: Center business district boundary identification system using commercial facility density.
110: geographic information unit 120: distribution density data construction unit
130: hydrologic analysis unit 140: commercial boundary identification unit
150: business hierarchy hierarchy 160: display unit
Claims (11)
a) constructing grid-specific density data of a distribution of commercial facilities in a target area for identifying a commercial boundary;
b) generating the flow and basin of the upper boundary within the target area by applying hydrologic modeling that considers the distribution of the commercial facility as the flow of water using the grid-specific density data and then analyzes the flow of water; and
and c) identifying a commercial boundary of the target region through the watershed.
Generating a density value for each lattice using a kernel density function, and constructing density data for each lattice based on a high and low difference of the density values for each lattice generated by subtracting the density value for each lattice from the maximum value among them; Distinguishing method of the center-boundary border area using the density of commercial facilities.
Setting a size of the grid;
Setting a search radius for obtaining the density value of each lattice; and
And constructing density data for each grid by using the high and low difference between the grid sizes and the density values for each grid generated for each search radius.
d) identifying the rank of the hierarchy by using the density value according to the search radius and the number of commercial facilities.
Generating density flow direction data and density flow accumulation data using the high and low difference of the density values of the grids; and
And identifying a flow zone boundary of the target area using the density flow direction data and the accumulated data, and generating a watershed.
A distribution density data constructing unit for constructing distribution of commercial facilities in a target area for identifying commercial boundary as density data for each grid;
Hydrologic analysis unit for generating the flow and basin of the upper boundary in the target area by applying the hydrological modeling to analyze the flow of water after considering the distribution of commercial facilities as the flow of water using the grid-specific density data; And
And a commercial district boundary identification system comprising a commercial facility density comprising a commercial district boundary identification unit for identifying a commercial district boundary of the target area through the watershed.
Using the kernel density function to generate the grid-specific density value, the grid-specific density data is constructed based on the high and low difference of the grid-density value generated by subtracting the density value of each grid from the maximum value Identification System of Central Business District Boundaries Using Commercial Facility Density.
Setting the size of the lattice, setting a search radius for obtaining the density value of each lattice, and constructing density data for each lattice using the high and low difference of the set lattice size and the density value for each lattice generated for each search radius. Identification system of the central business district boundary using the density of commercial facilities.
And a commercial area hierarchy identification unit for identifying the rank of the hierarchy using the density value according to the search radius and the number of commercial facilities.
Generating density flow direction data and density flow accumulation data using the high and low difference of the density values of the grids, and using the density flow direction data and cumulative data to identify the upper boundary flow of the target area and generate a watershed Identification system of the central business district boundary using the density of commercial facilities, characterized in that.
A geographic information unit receiving the distribution of commercial facilities of the target area as POI information and including electronic map data of the target area; and
And a display unit for displaying the identified boundary of the target area of the target area on the electronic map.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160115185A (en) * | 2015-03-26 | 2016-10-06 | 서울대학교산학협력단 | Location of Commercial Store Selecting Method |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160115185A (en) * | 2015-03-26 | 2016-10-06 | 서울대학교산학협력단 | Location of Commercial Store Selecting Method |
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