Subway station position selection method and system based on space big data

Abstract

The invention discloses a subway station position selection method and system based on space big data; the method comprises the following steps: determining a city area in which a subway line is to be built, and gridding the city area so as to form a candidate subway station position set; optimizing the candidate subway station position set according to preset restrictive conditions so as to determine a feasible subway station position set, wherein the subway station position set comprises the start point and end point of the subway line; building a multi-target subway station position selection model according to the preset constrained conditions; optimizing the subway station positions in the feasible subway station position set according to the subway station position selection model, thus determining the subway station selected positions. The method and system consider various factors like city economy, social, traffic and policies, can extract colony travel activities from multi-source space-time locus data so as to build the multi-target subway station position selection model, and can use the built multi-target subway station position selection model to select subway station positions with high efficiency and quality.

Description

Technical field [0001] The invention relates to the technical field of transportation and travel, in particular to a method and system for selecting a location for a subway station based on spatial big data. Background technique [0002] The subway system is the backbone network of the urban public transportation system, which shares the large-scale public travel in the city and provides convenient, comfortable and efficient public services. Subway construction can not only improve the quality of public travel, but also improve the urban spatial structure and promote the sustainable development of urban population, economy and society. The traditional subway site selection method relies on the population survey or activity survey in the city. The survey coverage is generally below 5%. It is impossible to obtain a full sample of public travel needs. This leads to the unreasonable design of subway stations. On the one hand, it cannot improve traffic congestion. The status quo, on ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a method and system for selecting the location of subway stations based on spatial big data in order to solve the problem of inability to improve traffic congestion caused by unreasonable location of existing subway stations. The current situation and the problem of wasting the transportation capacity of the subway line

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