Research On The Co-evolution Of Regional Logistics Network In Chengdu-Chongqing Economic Circle

At present,the logistics industry has entered a new stage from original single development pattern to comprehensive logistics system development.The formation of modern regional logistics network system can complete the entire process of goods from production to consumption in the shortest time and at the lowest cost.With the improvement of logistics efficiency,it also reduces logistics costs,so it’s particularly important to study how to construct an efficient and reasonable regional logistics network.Under the background of the integrated construction of the Chengdu-Chongqing Economic Circle(Chengdu-Chongqing region),the economic cooperation and trade exchanges in the Chengdu-Chongqing region become a common phenomenon.The elements of intra-regional and cross-regional logistics,capital flow and information flow are gradually condensing in the direction of integration.The existing researches on regional logistics network mainly focused on traditional site selection,optimization and construction,and there were less studies on co-evolution and coordinated development of logistics network in urban agglomerations.Based on defining the connotation of regional logistics network,this paper explores the past evolution characteristics of regional logistics network in the Chengdu-Chongqing Economic Circle from micro and macro perspectives by introducing related theories such as spatial analysis,network analysis and synergy theory.Meanwhile,it establishes the co-evolution model of regional logistics network,and studies the co-evolution characteristics and trends of the regional logistics network in the Chengdu-Chongqing Economic Circle in the future from mesoscopic perspective.Some countermeasures and suggestions are proposed for coordinated development later.Firstly,based on the historical data of the regional logistics network in the Chengdu-Chongqing Economic Circle,using the spatial distribution methods such as kernel density,spatial autocorrelation,and accessibility,it is found that there are certain agglomeration development trend and positive spatial correlation in logistics industry development in the Chengdu-Chongqing region with the help of Arc GIS software.At the same time,the evolution characteristics of the regional logistics network in the Chengdu-Chongqing region are studied from a macro perspective through the social network analysis method and the gravity model.The paper also summarizes the phased evolution law of the regional logistics network in the past ten years,which is that it has experienced a transition from “two-level differentiation” to“basic equilibrium”.Secondly,based on researching the past evolution characteristics and laws of the regional logistics network in the Chengdu-Chongqing region,the weighted regional logistics network co-evolution model based on node attractiveness is established by introducing the complex network theory and the evolution mechanism analysis of the regional logistics network.This paper designs the solution algorithm,which calculats node degree,average path length and clustering coefficient to compare the evolution networks in different parameters and determine the optimal parameters through adjusting the parameters continuously.Later,the evolution network in different time periods is analyzed.The results show that the future regional logistics network in the Chengdu-Chongqing region from the meso perspective also goes through initial construction period and slow development period,and finally reaches coordinated development stage.Finally,combined with the evolution characteristics and development laws of the regional logistics network in the past and the future in the Chengdu-Chongqing region,this paper puts forward the suggestions for promoting the coordinated development of the regional logistics network in the Chengdu-Chongqing Economic Circle from the planning and construction aspects of the two major components of logistics nodes and logistics channels in regional logistics network.