China’s Transport Land: Spatiotemporal Expansion Characteristics and Driving Mechanism

Liangen Zeng, Haitao Li, Xiao Wang, Zhao Yu, Haoyu Hu, Xinyue Yuan, Xuhai Zhao, Chengming Li, Dandan Yuan, Yukun Gao, Yang Nie and Liangzhen Huang
Additional contact information
Liangen Zeng: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Haitao Li: Department of International Relations, Tsinghua University, Beijing 100084, China
Xiao Wang: Guanghua School of Management, Peking University, Beijing 100871, China
Zhao Yu: Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China
Haoyu Hu: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Xinyue Yuan: School of Insurance, Central University of Finance and Economics, Beijing 102206, China
Xuhai Zhao: School of Economics and Management, Tsinghua University, Beijing 100871, China
Chengming Li: School of Economics, Minzu University of China, Beijing 100871, China
Dandan Yuan: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Yukun Gao: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
Yang Nie: Guanghua School of Management, Peking University, Beijing 100871, China
Liangzhen Huang: School of Architecture, Southwest Minzu University, Chengdu 610225, China

Land, 2022, vol. 11, issue 8, 1-18

Abstract: The literature about changes in land use includes many studies of global sustainable development goals, while studies of transport land expansion have been relatively scarce. In this paper, we present an analysis of the spatiotemporal characteristics of transport land expansion in China’s 31 provinces from 2009 to 2017, applying the spatial Dubin model to identify the factors that influenced changes in per capita transport land area ( PCTLA ). The eastern and western regions have continued to lead the nation in terms of the total area dedicated to transport land. The expansion speed of transport land in the central and western regions, however, has been faster than in the eastern and northeast regions. As for PCTLA , the western region had the greatest amount and the central region the least. Further, PCTLA showed significant spatial autocorrelation. Economic development, government regulations, industrial structure, and the extent of opening up and urbanization had significant positive impacts on PCTLA , while the development of railway freight had a negative impact. This paper concludes with some policy suggestions for optimizing transport investment, accelerating the adjustment of industrial structure and transport structure, and implementing high-quality urbanization. The results should be of interest to those involved in the sustainable development of transport systems.

Keywords: transport land; spatiotemporal characteristics; spatial Durbin model (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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