Urban Expansion in China: Spatiotemporal Dynamics and Determinants

Shengqiang Jing, Yueguan Yan, Fangqu Niu and Wenhui Song
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Shengqiang Jing: College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
Yueguan Yan: College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China
Fangqu Niu: Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
Wenhui Song: College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing 100083, China

Land, 2022, vol. 11, issue 3, 1-16

Abstract: China’s urbanization has attracted many scholars’ attention due to its significant impact on socioeconomic sustainability. Many studies have explored the spatial pattern and effects of the factors influencing urban expansion. However, the spatiotemporal dynamics integrating spatial and temporal dimensions and the spatial scales of the influencing factors are always ignored. This study applied the framework of exploratory space–time data analysis (ESTDA) to investigate the spatiotemporal dynamics of urban expansion across 342 cities in China from 1990 to 2017 and, further, used multiscale geographically weighted regression (MGWR) to estimate the effects of influencing factors on urban expansion. We found that urban expansion had an obvious south–north division, and yet the effects of influencing factors usually showed an east–west division. We also found that the dynamic local spatial dependency of urban expansion was accompanied by a volatile coevolution process and inclined to transfer from heterogeneity to homogeneity, and homogeneity tended to be stable. The coevolution of urban expansion between cities and other neighboring ones became stronger with increases in time and regional integration. These findings support the use of customized urban planning for specific regions in different spatial dependence to improve land-use efficiency and coordinate regional development.

Keywords: urban expansion; land use/cover change; exploratory space–time data analysis (ESTDA); multiscale geographically weighted regression (MGWR) (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 (5)

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