| With the continuous development of our country’s electricity supplier industry, the leading role of express industry in the development of the economy is growing, it brought greater development opportunities to express enterprises, at the same time express quality service industry has put forward higher requirements. Number and distribution of express enterprise network directly affects the express enterprise mode of operation and quality of service. Therefore, the study of the distribution network layout and the spatial pattern of express delivery network has a decisive role in the development of express delivery companies. Express industry in Nanjing metropolitan area at a high level of China’s express delivery industry, however, there are still delays in delivery, delivery is not timely and other issues. The research on the network layout and its causes of the express enterprises in Nanjing metropolitan area has certain theoretical significance and practical application value.Based on the Nanjing metropolitan area as the research scope, this paper select the top six overall strength of STO. Express, YTO.Express, ZTO. Express, Yunda Express, Best Express and TTK. Express enterprise as the sample. This paper discusses qualitative and quantitative analysis of Nanjing metropolitan area express enterprise network, mainly from the express enterprise network space layout, organization structure and the impact factors of express network three main aspects to expand. First of all, profound understanding the location theory, central place theory, industrial cluster theory, the polarization- diffusion effect and so on to form the theoretical support of this research, and then research the spatial pattern of express enterprise network by qualitative analysis and basic organization mode of express delivery enterprises that is peer to peer, single Hub and spoke and combination type; Second, by analysing six typical express enterprise network. The study found that typical express enterprises in the Nanjing metropolitan area formed in Nanjing as the core, Yangzhou, Zhenjiang and Wuhu city as second core area, Huai’an, Xuancheng, Chuzhou, Ma’anshan belong to the peripheral area network structure; express enterprise organization for the "hub and spoke" courier network characteristics, distribution center of the city branch to dial in the lower three level network, and then the three outlets by classifying express delivery to each terminal outlets. Third, using the kernel density analysis the network distribution of express enterprise in the Nanjing metropo--litan area found that it presents a “multi-core" features of space agglomeration, express enterprise network layout to Nanjing as the core, agglomeration situation of the surrounding area gradually weakened; Fourth, from the five aspects of the comprehensive economic, trade and economy, population, urban road traffic conditions, using SPSS software to analyze quantitatively the relationship between the influence factors of the Nanjing metropolitan area express network spatial pattern and the express delivery. The results showed that the positive correlation between GDP and express delivery business, and the total retail sales of social consumer goods, freight volume, postal parcel quantity and at the end of the actual pavement road area is significant correlation, and population has certain relevance. Fifth, using factor analysis method to calculate the comprehensive score of Nanjing Metropolitan area, and based on the comprehensive score, the eight cities of Nanjing metropolitan area are divided into three categories by using the hierarchical cluster analysis method: The first category is Nanjing City, the second category contains Yangzhou City, Zhenjiang City, Huai’an City, Wuhu City, the third category includes Xuancheng City, Ma’anshan city and Chuzhou city. In the future, if we can get the data of city traffic volume nearly ten years of express enterprises, can be more in-depth study its relationship with the indicators, which can be combined with specific examples to give the optimization program of delivery network. |
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