Spatial-temporal Evolution Characteristics of Urban Logistics Spread Based on the Logistics Land Panel Data of 329 Cities in China

Understanding the urban logistics spreading based on the logistics land panel data could help uncover the general inherent law about urban logistics development,  which also could provide referenced strategies for future planning of urban logistics. Using the logistics land panel data from the China Land Market Network, this study develops a land-use sprawl index model. It combines it with three spatial analysis approaches (the kernel density estimation, hot-spot analysis, and weighted standard deviation ellipse method) to depict the Spatial-temporal evolution characteristics of the logistics sprawling in China from 2008 to 2017. The results regarding sprawl intensity and direction show that: 1) the northeast is the region with the highest intensity of urban logistics spreading in China, followed by the eastern, western, and central areas. About 67.48% of the cities in China present a slow sprawling trend. 2) there are three main areas with a high kernel density of logistics spreading across the country, including the Yangtze River Delta, Shandong Peninsula, and Beijing-Tianjin-Hebei Region. The cold spot areas of logistics land sprawl are mainly distributed in western areas such as the Gansu province and Yunnan province. 3) during the period, the center of gravity of urban logistics spreading in China presents has been moving from northeast to southwest and southeast. This result may be associated with the national strategy, and economic advance. To minimize the negative impact of logistics spread, its reasonable expansion speed should be attached to enough importance.


Wang Ran, Lu Mengyuan, Chen Fang, Qin Wenwen, Li Jiemei

Geographical Impacts Of Urban And Metropolitan Logistics: Mobilities Of E-Commerce, Warehousing, Logistics Real Estate, Urban Freight


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