A method for evaluating urban space quality based on big data

Abstract

The invention discloses a method for evaluating urban space quality based on big data, which attempts to obtain relevant network evaluation data by means of data mining. The invention selects typical public service facilities for data mining, address resolution, and weight calculation, and explores the application of space quality evaluation for dimensionality reduction of big data. The empirical part includes three parts: in terms of objective evaluation, through data mining and address resolution, the spatial evaluation of the distribution density and per capita ownership of public service facilities is carried out; in the aspect of subjective evaluation, the attention and satisfaction data of network evaluation are collected , to analyze the location of high-quality public service facilities; on the basis of the above, carry out weight calculation on the subjective / objective evaluation of public service facilities to form a comprehensive evaluation of space quality. This method not only answers the evaluation question of urban space quality from the structural level, but also truly reflects the satisfaction perception of social micro-individuals, and realizes the quality measurement of urban 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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