| At present,the economic development of most cities in our country has entered the stage with the service industry as the main body.With the rise of the Internet and the acceleration of urbanization,the proportion of various services in the city is increasing,and the urban problems caused by the unreasonable spatial structure are becoming more and more serious.How to analyze and explore the urban living space problems has gradually become the hot spot of urban research at the present stage.The study on the spatial pattern of urban service industry can not only clarify the spatial distribution and change law of the service industry,but also reveal the development dynamics and construction process of the city in the future period,and provide feasible suggestions for the development direction of the city.This paper takes the POI(Point of Interest)data of six types of service industries,including catering and accommodation,commercial shopping,education and training,real estate,sports and leisure,and medical and health services,in the central urban areas of Chengdu and Chongqing,the "dual core" of the Chengdu-Chongqing economic circle,as the research object in 2022.By using multiple analysis methods such as average nearest neighbor index,spatial autocorrelation,kernel density estimation,DBSCAN spatial clustering,geographic detector,and geographically weighted regression,this paper studies the spatial pattern and influencing factors of various service industries in central urban areas of Chengdu and Chongqing,and grasp their spatial distribution rules from multiple perspectives.It will form a theoretical basis to guide the planning,construction and layout optimization of Chengdu and Chongqing,and provide new research methods and ideas for the spatial layout and urban planning of "dual core" economic circle in Chengdu-Chongqing area.The conclusions of this paper are as follows:(1)Chengdu and Chongqing have the highest degree of commercial shopping service agglomeration and the lowest degree of real estate service agglomeration.The six types of service industries show significant spatial positive correlation,among which the high-high concentration areas are mainly distributed in the regions with relatively perfect infrastructure.Moreover,it is found that the most significant spatial correlation variables of the 15 bivariate combinations of service industries in Chengdu and Chongqing are all related to the real estate industry,which reflects that the real estate industry has a great influence on the spatial distribution of urban service industries.(2)All kinds of service industries in the downtown area of Chengdu,with Chunxi Road and Tianguan Taikoo Li area within the first Ring Road as the core,radiate around the multidensity points,in the form of "one main core,multiple cores".The six types of service industries in the downtown area of Chongqing spread around the core area of "two rivers and four banks",showing a development trend of "multi-center high-density cluster" in the ring with high vitality of the city.The number and spatial pattern of clusters of various service industries in the study area are different,and the direction of spatial evolution has taken place in different degrees.In addition,the noise points of various service industries in the central urban areas of Chengdu and Chongqing show scattered and irregular distribution characteristics,and the aggregation of noise points appears in local areas,which reflects that such noise points will become areas with great potential for future development.(3)The population density and road network density have great influence on the formation and development of the spatial distribution of all kinds of service industries in the central city of Chengdu,while the height,population density and road network density have strong influence on the spatial distribution of six kinds of service industries in the central city of Chongqing.Moreover,it is found that there are obvious differences in the spatial impact of the same influencing factor on the service industry in the downtown areas of Chengdu and Chongqing.This difference not only shows different contribution degrees,but also changes in the size,positive and negative,direction and geographical location of the regression coefficient. |
