Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities

By Sanwei He, Shan Yu, Guangdong Li, Junfeng Zhang. 2020

193 citations recorded by the source corpus.

Effective land-use is a prerequisite for sustainable urbanization. Land-use efficiency is intimately related to factors such as economic growth and industrial policies; however, limited studies focus on the spatial effects of urban form on land-use efficiency. Our empirical analysis includes 336 Chinese prefecture-level cities located in 31 provinces and four regions. We use five landscape metrics (patch density, mean patch size, edge density, mean shape index and patch cohesion index) to characterize urban form. Overall, China’s urban form metrics demonstrate significant regional differences from 2000 to 2015. Furthermore, land-use efficiency also demonstrates significant regional disparities. We prove the importance of the spatial effects of urban form on land-use efficiency using spatial regression models. Moreover, the impact of urban form metrics on land-use efficiency is sensitive to regional heterogeneity and city sizes. An urban form characterized by high patch density and large urban patch size is not conducive to increases in land-use efficiency in small cities although it is conducive to such increases in large cities. This research facilitates policymaking in the areas of spatial regulation and spatial planning in connection with national land-use.

View Paper: https://www.semanticscholar.org/paper/21f9b00f3578288493e9328f61942e81131f3e32

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1. Jiangmeng Zhao
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Citations in the corpus

• Does regional economic integration promote urban land use efficiency? Evidence from the Yangtze River Delta, China (2021, methodology): “Based on an accurate measurement, scholars assessed how city size, government intervention, land price, and other factors influence ULUE, with the help of the Tobit model, the Geographically Weighted Regression model (GWR) (Du et al., 2016; Guastella et al., 2017; He et al., 2020; Tu et al., 2014).”