| Commercial space has always been the focus of urban planning.Recently,there have been a lot of researches on the structure of urban commercial space by using multi-source big data.The distribution characteristics and evolution process of commercial space in many cities have been described in depth.However,there are few studies on commercial spatial structure combined with commercial facility data and large sample consumer behavior characteristics.Based on the case study of shopping centers in Shenzhen,combined with big data such as mobile intelligent device location data and small data such as shopping center basic information,comprehensive application of a variety of spatial analysis and statistics,mathematical model and other methods,around the three core concepts of hierarchy,market area and centrality,this paper explores the development and evolution process and characteristics of shopping center facilities and current consumption The purpose of this paper is to analyze whether the evolution characteristics of the shopping center pattern at the facility level can be reflected in the consumer behavior level,see through the formation reasons of the differences between the development of facility space and behavior representation,and put forward planning guidance suggestions for the pace of facility space construction in the process of new urbanization in the stock age.In the specific research process,firstly,combined with the spatial distribution characteristics of shopping centers,it is divided into 43 agglomeration areas as the basic unit of quantitative analysis and statistics.Then,from the perspective of facilities,the evolution process and characteristics of the hierarchical system and market area of shopping centers are discussed.Then,on the basis of market areas,the centrality analysis of time section is focused by using consumption behavior data Finally,it analyzes the causes of the differences,and puts forward the optimization strategies from the perspective of urban and rural planning.The results show that: 1)the overall development level of shopping centers in the whole city has been improved rapidly,but the growth of different regions is quite different,which shows the characteristics of core edge differentiation.The life cycle of shopping centers is double cyclical under the influence of the development time difference.The grade system in the original special zone tends to be compressed,but the whole city level is stretched again,and the regional characteristics are reflected in the process of market area densification It can be divided into three types according to the consumption attractiveness,centrality and extroversion;(3)although the spatial pattern reflected in the behavior level is obviously different from the facility level,it is still closely related;(4)the complementary cluster area The convenient track intermediary and the constantly redistributed urban population create conditions for the formation of the consumption network,while the land stock,population differentiation,choice inertia and consumption upgrading provide support for the cognitive differences of the two dimensions.The guiding strategy of classification,classification and zoning of urban planning can better guide and control the spatial pattern of shopping centers.From the coarse-grained historical analysis to the more in-depth cross-sectional analysis,combined with the two dimensions of commercial facilities and consumer behavior,this paper improves the cognitive approach to the spatial pattern of shopping centers,analyzes the causes of the differences between facility space and behavior characteristics,and puts forward the development goals of guiding regional balance and core agglomeration,as well as the guidance under the urban planning system according to the particularity of Shenzhen Framework. |
PDF Full Text Request