Spatial-temporal Evolution Characteristics of Urban Logistics Spread Based on the Logistics Land Panel Data of 329 Cities in China
Xiaofeng JI , Kunming University of Science and Technology, China
Ran WANG, Kunming University of Science and Technology, China
Fang CHEN, Kunming University of Science and Technology, China
Wenwen QIN, Kunming University of Science and Technology, China
Jiemei LI, Kunming University of Science and Technology, China
Understanding the urban logistics spreading based on the logistics land panel data could help identify the inherent law of urban logistics development overall, and it also could provide referenced strategies for urban logistics planning. Using the logistics land panel data from the China Land Market Network, this study develops a land use spreading index model and combines it with three spatial analysis methods (the kernel density estimation method, hot spot analysis method and weighted standard deviation ellipse method) to illustrate the spatiotemporal evolution characteristics of the logistics spreading in China from 2008 to 2017 in the view of spread intensity and direction. The results 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 regions. About 67.48% of the cities in China present a slow sprawling state. 2) there are three main areas with 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 are mainly distributed in western areas such as the Gansu province and Yunnan province. 3) the trajectory of center of gravity of urban logistics spreading in China presents a moving trend alone with the direction of northeast-southwest-southeast. To some extent, this result may be associated with the national strategy, economic advance and other factors. In order to minimize the negative impact of logistics spread, its reasonable expansion speed should be attached to enough importance.
Keywords: Logistics spreading|land spreading index|center of gravity track|spatial and temporal patterns
A103305ML