A boundary effect measurement method based on factor flow big data

Abstract

The invention provides a boundary effect measurement method based on element flow big data, a network analysis technology based on element flow big data, calculates the central coordinates of a space unit based on the element data, and uses a network map path navigation API interface to calculate the The actual traffic distance and traffic time between the centers of space units; based on the standard gravitational model, construct a basic boundary effect model, and construct a boundary effect model based on the big data of element flow considering the actual situation and boundary influence, so as to realize the actual flow of elements between space units An accurate and dynamic measure of . The method of the invention has the advantages of simple data acquisition, stable and reliable data source, dynamic updating, and higher overall algorithm efficiency and accuracy.

Description

technical field [0001] The invention belongs to the field of urban planning data analysis, and particularly relates to a boundary effect measurement method based on big data. Background technique [0002] The boundary effect is the combined effect of environmental, traffic and other factors between cities in the urban agglomeration, which hinders or promotes the flow of elements such as people, capital, and goods between cities, and is an important factor in promoting urban cooperation and coordinated development. The premise and foundation are one of the important considerations in urban planning. [0003] The existing boundary effect measurement methods in the prior art are usually oriented to countries, regions and other economies in terms of measurement objects, and less measurements are made between cities or districts and counties within urban agglomerations, and the data and methods are at the urban agglomeration level. It cannot be reused, and it is difficult to gui...

AI Technical Summary

Problems solved by technology

[0003] The existing boundary effect measurement methods in the existing technology are usually oriented to countries, regions and other economies in terms of measurement objects, and there are few measurements between cities within urban agglomerations or between districts and counties. The data and methods are at the level of urban agglomerations It cannot be reused, and it is difficult to guide the coordinated development of urban agglomerations; in terms of measurement media, it is usually based on the differences between regions such as commodity price differences, industrial structure differences, and cost differences, and is often based on statistical data or survey data, which makes data difficult to obtain and measure Difficulty in updating dynamically, lack of objectivity in measurement, etc. The basic parameters of measurement are often based on the distance between the geographical center of the city and the geographical straight line, which does not reflect the actual population and industrial center of the city, and does not reflect the actual transportation convenience between cities. The accuracy of measurement and calculation of the support of transportation facilities is insufficient; in terms of measurement models, gravity models, monopolistic competition models, the law of one price, convergence analysis models and other models are usually used to measure the boundary effect coefficients by constructing dummy variables to measure boundary effects , the lack of a measurement model of the actual factor flow

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