As one of the important indicators of a city’s development level,retail commerce is a bridge between production and consumption,whose prosperity can promote the sound economy of the city.With the advancement of road network infrastructure construction,the role of road network traffic in attracting people,vehicles,and resources is increasingly enhanced,which in turn affects the scale and spatial layout of retail business development.Therefore,it is necessary to combine population activities and the structural characteristics of road networks and study their spatial distribution relationship with the distribution pattern of retail businesses,which is important for the optimization of the layout of retail commercial outlets and the improvement of urban operational efficiency.This thesis selects the main urban area of Guangzhou as the research object,and discusses the spatial pattern of the retail industry as a whole with different retail formats and its spatial relationship with road structure and population by combining road network and population dynamics.Firstly,relying on technical methods such as kernel density analysis,standard deviation ellipse and other technical methods to analyze and summarize the layout characteristics of the retail industry as a whole and different retail formats.Then,the spatial design network analysis is integrated to calculate the road structure characteristics and research the spatial relationship between road structure indices of different retail businesses at different scales.Discussing the matching relationship between retail spatial layout and population vitality and roads in the context of population activity and road congestion data.Based on the analysis and empirical results,this thesis puts forward relevant insights and suggestions.The main research results are as follows.1.The spatial distribution of retail commercial outlets in the main urban area of Guangzhou is mainly in a multi-centered central-peripheral spatial distribution pattern.The spatial density is uneven,with a dense distribution in the central part and a sparse distribution in the periphery.The degree of concentration and distribution of the core area of each retail industry formats varies.The spatial development centers of the retail outlets of each sector are all located in the core areas of the main urban areas,with little difference in location,and the spatial pattern of their development direction is characteristic of a northwest-southeast layout.In terms of retail specialization,each retail format has a highly dominant industry distribution street,with most of the dominant streets having more than one dominant retail format.2.In the road structure of the main urban area of Guangzhou,the road traffic advantage of the core area is obvious,and the traffic flow attraction and transit role are strong.The overall pattern is a circular radial road network system,with the attractiveness of road traffic decreasing from the center to the periphery.At the local scale,the pattern is dominated by the distribution of several high proximity clusters,which attracts traffic flow across the region.At the same time the high penetration value road sections also form a large network of high penetration roads as the scale expands,resulting in improved connectivity between roads,which allows for increased connectivity between roads.3.There is a clear positive correlation between retail outlets and road structure in the main urban area of Guangzhou,with a variety of spatial distribution patterns.The correlation between different retail formats is different from the perspective of the industry.From the perspective of road structure indicators at different scales,areas with high retail concentration are mostly located in places with good traffic efficiency,high traffic flow,and high traffic attractiveness.Finally,based on the results of the previous analysis,this thesis combines dynamic population and road congestion data to analyze the spatial pattern of the retail industry,and proposes countermeasures to optimize the spatial layout of the retail industry. |