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Optimizing The Spatial Distribution Of Retail Business Based On Residents’ Consumption Behavior

Posted on:2020-08-25Degree:MasterType:Thesis
Country:ChinaCandidate:J Y WangFull Text:PDF
GTID:2492306452471184Subject:Urban and rural planning
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Retail formats play an important role in the development of urban commerce.And the development of entity retail formats has a great impact on the life of urban residents and the layout of urban service facilities.Along with the development of network information technology,electronic retail business develops rapidly,which not only facilitates the lives of residents,but also has a great impact on the traditional retail business space with physical retail stores as the main body.For example,a certain degree of customer loss,empty physical stores and other issues,the emergence of these phenomena are not conducive to the overall healthy development of urban retail formats.How to cope with the coordinated development of e-retailing and physical retailing in the Internet era? From the perspective of entity space,we should pay attention to the method of spatial layout optimization of urban physical retailing.This research is divided into three parts.Firstly,through a questionnaire survey on the consumption behavior of residents in the main urban area of Beijing,we obtained 400 data.We identified the characteristics of residents’ consumption behavior by spatial statistical analysis,which were based on 400 data.Through correlation analysis,discrete selection model was established to identify residents’ consumption.The result shows that the demand for convenience of life and diversification of consumption is manifested by the tendency of network consumption,while the consumption of physical stores is manifested by "daily consumption tends to community commerce" and "comprehensive multi-purpose consumption tends to high-level commerce",which characterized by polarization.Secondly,the data of retail outlets in Beijing are obtained by network data mining method.After data cleaning and classification,the location information of different retail outlets in the main urban area is obtained.Using Acrgis’ s spatial analysis function,this paper analyses the present situation of retail business in the main urban area of Beijing,and finds that although there are differences in the spatial distribution characteristics of retail business in the main urban area of Beijing,the overall spatial agglomeration characteristics of the distribution to the center are obvious,and the commercial spatial structure is strong in the center and weak in the edge features.On this basis,this study identifies the commercial center and its hierarchical structure in the main urban area of Beijing by using the natural breakpoint method according to the Kernel density of the spatial distribution of retail formats,and makes a comparative analysis with the commercial center hierarchical structure in the commercial development planning issued by the government in different periods.Finally,based on the prediction of the evolving trend of consumer demand,this paper makes a comparative analysis of consumer demand and spatial supply of retail formats.On this basis,it concludes that there are differences between residents’ pursuit of life convenience,diversified consumption demand and the unbalanced distribution of community commercial formats,homogeneous agglomeration of traditional business formats,and the planning of hierarchical structure of commercial centers in existing planning.In view of the above differences,this study puts forward countermeasures and suggestions from three aspects: the hierarchical structure of commercial centers,the distribution of retail retail outlets and the spatial function of retail business.The suggestions put forward in this paper are expected to provide a basis for the optimization and promotion of retail format spatial layout in the main urban area of Beijing,and provide a reference path for the optimization and promotion of real business spatial layout in other big cities of China under the influence of e-commerce.
Keywords/Search Tags:Commercial replacement, Commercial spatial strcture, Evolution of consumer behavior, Discrete choice model, the main urban area of Beijing
PDF Full Text Request
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