METHOD FOR DEFINING METROPOLITAN AREA BASED ON REGIONAL INTER-CITY FLOW INTENSITY MEASUREMENT MODEL

• US 20190333177A1
• Filed: 05/04/2016
• Published: 10/31/2019
• Est. Priority Date: 03/29/2016
• Status: Active Grant

• Current Assignee: Southeast University
• Original Assignee: Southeast University
• Inventors: YANG, JUNYAN, WANG, YUZHUO
• Granted Patent: US 10,621,604 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G06F 30/13 Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G09B 29/007 using computer methods

Abstract

A method for defining a metropolitan area based on a regional inter-city flow intensity measurement model includes the following steps: 1. determining an urban agglomeration regional range to be measured and inter-city flow associated cities; 2. measuring, according to the determined associated cities, itemized regional inter-city flow intensities of each group of the associated cities; 3. calculating through weighing, according to the itemized regional inter-city flow intensity values, integrated inter-city flow intensities and membership degrees thereof between a central city and other associated cities; 4. recording the above data into an ArcGIS library, and establishing a regional inter-city flow database through association between spatial data and table data. 5. performing four groups of naturally intermittent type clustering analysis on data in the established regional inter-city flow database, and finally determining the range of a metropolitan area in a narrow sense and in a broad sense.

Claims

1. A method for defining a metropolitan area based on a regional inter-city flow intensity measurement model, comprising:

Step 1;

determining an urban agglomeration regional range centered with a metropolitan city as a spatial range of the metropolitan area to be defined, identifying a plurality of to-be-measured basic city units in the urban agglomeration regional range, and further determining inter-city flow associated cities;

Step 2;

measuring, according to the inter-city flow associated cities determined in Step 1, itemized regional inter-city flow intensities of each group of the inter-city flow associated cities, wherein, the itemized regional inter-city flow intensities include an economic flow, a passenger flow, a freight flow, a technical flow, and an information flow;

Step 3;

calculating integrated inter-city flow intensities and integrated inter-city flow intensity membership degrees between a central city and associated cities through weighing according to itemized regional inter-city flow intensity values of the economic flow, the passenger flow, the freight flow, the technical flow, and the information flow measured in Step 2;

Step 4;

drawing a CAD graph of related vectors about provinces and cities in a region and recording data into an ArcGIS library, recording the itemized regional inter-city flow intensity values measured in Step 2 and data of the integrated inter-city flow intensity membership degrees between the central city and the associated cities measured in Step 3 in the ArcGIS library, and establishing a regional inter-city flow database through an association between spatial data and table data;

Step 5;

performing four groups of naturally intermittent type clustering analysis on the data of the integrated inter-city flow intensity membership degrees f_ABi in the regional inter-city flow database established in Step 4, obtaining member cities belonging to a core layer, a fringe layer, and a radiation layer of the metropolitan area respectively according to clustered data segments in descending order by size, and finally determining narrow-sense range and a broad-sense range of the metropolitan area.

2. The method for defining a metropolitan area based on a regional inter-city flow intensity measurement model according to claim 1, wherein the step of determining an urban agglomeration regional range to be measured and inter-city flow associated cities in Step 1 comprises:

Step 1.1;

selecting a metropolitan city A as a regional core and as the central city of the metropolitan area;

Step 1.2;

defining provinces and cities neighboring to the metropolitan city A selected in Step 1.1 and a province of the metropolitan city A as a to-be-measured regional inter-city flow spatial range;

Step 1.3;

based on the to-be-measured regional inter-city flow spatial range defined in Step 1.2, selecting cities at a prefecture level or above the prefecture level in the to-be-measured regional inter-city flow spatial range as to-be-measured basic city units, and determining N associated cities having an inter-city linkage with the metropolitan city A, wherein the N cities are numbered as B₁, B₂, . . . , B_i, . . . , B_N;

Step 1.4;

based on the city B_i determined in Step 1.3, obtaining to-be-measured regional inter-city flow associated cities in combinations of A_B₁, A_B₂, . . . , A_B_i, . . . , A_B_N.

3. The method for defining a metropolitan area based on a regional inter-city flow intensity measurement model according to claim 2, wherein the step of measuring the itemized regional inter-city flow intensities comprising an economic flow, a passenger flow, a freight flow, a technical flow, and an information flow in Step 2 comprises:

Step 2.1;

measuring an inter-city economic flow of the associated cities A_B_i determined in Step 1.4;

acquiring, through city statistical yearbooks and related city data materials of the provinces and cities, non-agricultural population U_A, U_Bi of each city, GDP G_A, G_Bi of each city, and a spatial linear distance D_ABi between the central city A and each of the associated cities B_i; and

calculating an inter-city economic linkage volumes E_ABi and corresponding inter-city economic flow intensities Ef_ABi of the associated cities;

4. The method for defining a metropolitan area based on a regional inter-city flow intensity measurement model according claim 2, wherein the step of calculating integrated inter-city flow intensities and integrated inter-city flow membership degrees between a central city and other associated cities through weighing according to the itemized regional inter-city flow intensity values of the economic flow in Step 3 comprises:

Step 3.1;

determining a relative significance of the itemized regional inter-city flows, namely, the economic flow, the passenger flow, the freight flow, the technical flow, and the information flow, and representing a weight coefficient of each regional inter-city flow by δ

_k, Σ

_k=1⁵ δ

_k=1; and

adopting an average weighing manner based on a close significance of the five itemized regional inter-city flows, that is, the weight coefficient of the five itemized regional inter-city flows is 0.25;

Step 3.2;

calculating the integrated inter-city flow intensity f_ABi between the central city and each of the associated cities through the following average weighing formula according to an inter-city economic flow intensity Ef_ABi, an inter-city passenger flow intensity Pf_ABi, an inter-city freight flow intensity Ff_ABi, an inter-city technical flow intensity Cf_ABi, and an inter-city information flow intensity If_ABi between the central city A and each of the associated cities B_i measured in Step 2;

f_ABi=Ef_ABi×

δ

₁+Pf_ABi×

δ

₂+Ff_ABi×

δ

₃+Cf_ABi×

δ

₄+If_ABi×

δ

₅;

Step 3.3;

obtaining, through a normalized standardization, the integrated inter-city flow intensity membership degree f_ABi between the central city A and each of the associated cities B_i according to the integrated inter-city flow intensity f_ABi between the central city A and each of the associated cities B_i measured in Step 3.2;

5. The method for defining a metropolitan area based on a regional inter-city flow intensity measurement model according to claim 2, wherein the step of recording, in ArcGIS, the CAD data of related vectors about the provinces and cities in the region as well as the itemized regional inter-city flow intensity data and the integrated inter-city flow intensity data measured in Step 2 and Step 3, and establishing a regional inter-city flow database in Step 4 comprises:

Step 4.1;

importing, into the ArcGIS database, a CAD data layer of vector boundary lines of the provinces and cities as well as a CAD data layer of vector points at spatial positions of administrative centers of the central city and each of the associated cities in the urban agglomeration regional range defined in Step 1;

Step 4.2;

drawing, in AutoCAD, a linkage network line between the central city A and each of the associated cities B_i, numbering the linkage network line as A_B_i, and importing a CAD layer of vector linkage lines between the associated cities into the ArcGIS database;

Step 4.3;

translating, from an EXCEL file format, and recording, in the ArcGIS database, the itemized regional inter-city flow intensity values including an economic flow intensity Ef_ABi, a passenger flow intensity Pf_ABi, a freight flow intensity Ff_ABi, a technical flow intensity Cf_ABi, an information flow intensity If_ABi, and an integrated inter-city flow intensity membership degree f_ABi between the central city A and each of the associated cities B_i measured in Step 2;

Step 4.4;

performing a spatial association of vector layers on each layer of a data and table association on measurement data in Step 4.1, Step 4.2, and Step 4.3, and establishing a regional inter-city flow database;

Step 4.5;

automatically displaying a line thickness of “

A_B_i city linkage lines”

according to the itemized regional inter-city flow intensity values, and outputting schematic diagrams of the itemized regional inter-city flow intensities by ArcGIS;

automatically displaying the line thickness of “

A_B_i city linkage lines”

according to the values of the integrated inter-city flow intensity membership degrees f_ABi, and outputting a schematic diagram of the integrated inter-city flow intensities.

6. The method for defining a metropolitan area based on a regional inter-city flow intensity measurement model according to claim 5, wherein the step of performing four groups of naturally intermittent type clustering analysis on the data of the integrated inter-city flow intensity membership degrees f_ABi in the regional inter-city flow database, obtaining member cities belonging to a core layer, a fringe layer, and a radiation layer of the metropolitan area respectively according to clustered data segments in descending order by size, and finally determining the range of the metropolitan area in a narrow sense and in a broad sense in Step 5 comprises:

Step 5.1;

performing four groups of naturally intermittent type clustering on the data of the integrated inter-city flow intensity membership degrees f_ABi of each “

city linkage line”

in Step 4.4 by using a naturally intermittent type clustering method through a “

clustering analysis”

module in an ArcGIS software, and sorting the four groups of data segments after clustering in descending order by size into;

a first group, a second group, a third group, and a fourth group;

Step 5.2;

defining the associated cities of the central city A and corresponding to the “

city linkage lines”

in the first group, the second group, and the third group of data segments as member cities belonging to a core layer, a fringe layer, and a radiation layer of the metropolitan area, wherein the associated cities corresponding to the “

city linkage lines”

in the fourth group of data segments are not covered in the range of the metropolitan area;

Step 5.3;

obtaining the range of the metropolitan area centered with the central city A in the narrow sense and in the broad sense based on Step 5.2, wherein the range of the metropolitan area in the narrow sense consists of the central city and core layer cities; and

the range of the metropolitan area in the broad sense consists of the central city, the core layer cities, fringe layer cities, and radiation layer cities.

7. The method for defining a metropolitan area based on a regional inter-city flow intensity measurement model according to claim 3, wherein the step of calculating integrated inter-city flow intensities and integrated inter-city flow membership degrees between a central city and other associated cities through weighing according to the itemized regional inter-city flow intensity values of the economic flow, the passenger flow, the freight flow, the technical flow, and the information flow in Step 3 comprises:

Step 3.1;

determining a relative significance of the itemized regional inter-city flows, namely, the economic flow, the passenger flow, the freight flow, the technical flow, and the information flow, and representing a weight coefficient of each regional inter-city flow by δ

_k, Σ

_k=1⁵ δ

_k=1; and

adopting an average weighing manner based on a close significance of the five itemized regional inter-city flows, that is, the weight coefficient of the five itemized regional inter-city flows is 0.25;

Step 3.2;

calculating the integrated inter-city flow intensity f_ABi between the central city A and each of the associated cities B₁, through the following average weighing formula according to an inter-city economic flow intensity Ef_ABi, an inter-city passenger flow intensity Pf_ABi, an inter-city freight flow intensity Ff_ABi, an inter-city technical flow intensity Cf_ABi, and an inter-city information flow intensity If_ABi between the central city A and each of the associated cities B₁, measured in Step 2;

f_ABi=Ef_ABi×

δ

₁+Pf_ABi×

δ

₂+Ff_ABi×

δ

₃+Cf_ABi×

δ

₄+If_ABi×

δ

₅;

Step 3.3;

obtaining, through a normalized standardization, the integrated inter-city flow intensity membership degree f_ABi between the central city A and each of the associated cities Be according to the integrated inter-city flow intensity f_ABi between the central city A and each of the-associated cities B_i measured in Step 3.2;