City spatial quality evaluation method based on big data

Abstract

The present invention discloses a city spatial quality evaluation method based on big data, which tries to employ data mining to acquire relevant network-based evaluation data. According to the present invention, data mining, address paring, weight calculation are performed for typical public service facilities, spatial quality evaluation application is explored based on dimension reduction of big data. The empirical part comprises three aspects: in an objective evaluation aspect, performing spatial evaluation for distribution density and per capita possession of the public service facilities by means of data mining and address parsing; in a subjective evaluation aspect, by collecting network evaluation-based focusing degree and satisfaction degree data, performing a location analysis on the quality public service facilities; and based on the above, performing a weight calculation for the object / subjective evaluation of the public service facilities, to conclude a comprehensive assessment on the spatial quality. The method according to the present invention not only addresses the problem of evaluation of the city spatial quality in the aspect of structure, but also practically reflects the satisfaction degree and feeling of the micro individuals, thereby implementing quality measurement of the city space.

Description

technical field [0001] The invention relates to the field of urban space quality evaluation, in particular to a method for evaluating urban space quality based on big data. Background technique [0002] Cities have been regional aggregations of people yearning for a better life since ancient times. Xu Shen of the Han Dynasty stated in "Shuowen Jiezi": "The city is to flourish the people." In ancient Greece, the city-state was a space for citizens to fully express their opinions Places are also space carriers that create brilliant civilizations in human history. Since the beginning of the new century, megacities with a population of more than 5 million have sprung up all over the world, and through the relative advantages of numerous employment opportunities and convenient living facilities, they continue to exert a spatial agglomeration effect, and even form continuous giant urban areas. However, while the agglomeration of urban spaces has brought many conveniences, it has ...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to overcome the shortcomings and deficiencies of the prior art, provide a method for evaluating the quality of urban space based on big data, and solve the problem of the inability to judge the quality characteristics of urban space from an overall perspective and the inability to truly be objective in the prior art. Neutrality and other issues

[0005] In order to solve the problems in the prior art that the quality characteristics of urban space cannot be judged from the perspective of the whole and cannot be truly objective and neutral, the present invention provides a method for evaluating the quality of urban space based on big data, which adopts the method of data mining , to obtain relevant network data, not only to answer the evaluation question of megacity space quality from the structural level, but also to truly reflect the perception of micro-individual residents, to realize the combination of basic theoretical research and planning practice

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