Method for defining metropolitan area based on regional inter-city flow intensity measurement model

• US 10,621,604 B2
• Filed: 05/04/2016
• Issued: 04/14/2020
• Est. Priority Date: 03/29/2016
• Status: Active Grant

• Current Assignee: Southeast University
• Original Assignee: Southeast University
• Inventors: Yang, Junyan, Wang, Yuzhuo, Cao, Jun
• Primary Examiner(s): Behncke, Christine M
• Assistant Examiner(s): Turner, Shelby A
• Application Number:
  US16/086,316
• Publication Number:
  US 20190333177A1
• Time in Patent Office: 1,441 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;

wherein the 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;

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 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 GIS 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.