Job-housing space evaluation method and system under different scales based on multi-data integration

Abstract

The invention discloses a job-housing space evaluation method under different scales based on multi-data integration. The method comprises the steps of collecting year-end permanent resident population data, employee data and POI data of a target city; carrying out data processing for a macro level of the city and a medium level of each district; and carrying out an analytic hierarchy process fordifferent types of POI data, differentiating weight of different scales and properties of POI data of the same function, and establishing job-housing space evaluation standards under the different scales. A job-housing space evaluation system under different scales based on multi-data integration comprises a data collection processing module and a job-housing deviation degree index evaluation module. According to the method and the system, job-housing space evaluation technologies under the different scales are established, the city job-housing place space distribution can be identified comprehensively, timely and accurately, the relatively scientific reference basis for city job-housing space and infrastructure layout optimization is provided, and the method and the system can be widely applied to the field of city job-housing space evaluation.

Description

technical field [0001] The present invention relates to the field of occupational and housing space evaluation, specifically a method and system for evaluating occupational and housing space at different scales based on multi-data fusion. Background technique [0002] With the rapid development of the economy and the continuous advancement of the urbanization process, the scale of the city has a tendency to gradually expand outward. The spatial relationship between the place of residence and the place of employment has evolved from "combination of occupation and residence" to "separation of occupation and residence", and the degree of separation between occupation and residence has intensified. At the same time, the contradiction between residents' growing public service demand and the shortage of public service supply The accessibility and convenience of residents' transportation, entertainment, medical care, and shopping facilities have all declined significantly. The rat...

AI Technical Summary

Problems solved by technology

[0005] In the existing methods, only one scale (region or city) is studied, and the application of traditional data and big data are separated from each other, so it is impossible to comprehensively obtain the spatial characteristics of urban occupation and housing.

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