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Study On Urban Vitality Of Streets And The Relevant Factors Under The Application Of Big Data

Posted on:2021-05-05Degree:MasterType:Thesis
Country:ChinaCandidate:Y X ZouFull Text:PDF
GTID:2392330620469618Subject:Urban and Regional Planning
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As the main skeleton structure of the city,the street has become more and more traffic function oriented in the rapid urbanization,and the traditional social life attribute has become weakened,which also produces the related problems of urban traffic congestion and the disappearance of the traditional street.In recent years,with the gradual popularization and development of the Internet,big data has achieved rapid development and is closely linked with social life.Scholars think that big data research provides a new starting point for solving urban problems.Based on the data of urban interest points,micro blog sign in data and urban road network data,this paper studies the spatial distribution characteristics and influencing factors of street vitality in Nanchang City by using spatial analysis,data mining,natural language analysis and other theories and methods,and puts forward several measures and suggestions to improve the street vitality,in order to make the street alive The research of force provides reference.The main research of this paper is as follows: using the data mining method,for the micro blog sign in LBS data obtained from July to September 2019,rectifying and cleaning the data,taking its density within a single street as the representation of Nanchang Street vitality intensity for spatial analysis;based on the previous research and available data,this paper puts forward a feasible including street length The evaluation system of street vitality influencing factors such as intersection density,street function density,mixing degree and accessibility under spatial syntax;the correlation analysis of street vitality representation and evaluation system,evaluation of its correlation and based on the results provided by it,put forward relevant suggestions and strategies for the street vitality of Nanchang city.The main conclusions of this study are as follows: the mixing degree of street functions and the convenience to the surrounding blocks have the greatest impact on street vitality;the short-distance traffic is not as important as the long-distance traffic,and even the short-distance traffic is too fast,which may have a negative impact;the incomplete subway traffic system has insufficient impact on the overall Street vitality of the city,The subway network should be built as soon as possible.
Keywords/Search Tags:Big Data, Urban Computing, Nanchang City, Vitality of Streets, Space Syntax
PDF Full Text Request
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