Assessment of Urban Spatial Integration Using Human Settlement Environmental Geographic Dataset: A Case Study in the Guangzhou–Foshan Metropolitan Area

Rui Chen, Siyu Zhou, Shuyuan Liu, Zifeng Li () and Jing Xie ()
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Rui Chen: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Siyu Zhou: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Shuyuan Liu: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Zifeng Li: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Jing Xie: School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China

Land, 2024, vol. 13, issue 8, 1-21

Abstract: Urbanization is an important process in China’s urban development, significantly contributing to resource allocation and the cooperative development of neighboring cities. In recent years, remote-sensing technology has emerged as a powerful tool in urbanization research. However, the disparity in development between urban and rural areas poses challenges in evaluating the degree of urbanization within a region. This paper addresses this issue by using LCZ (Local Climate Zone) data to provide a unified framework for analyzing a human settlement environmental geographic dataset. This study focuses on the spatial development and transformation of the Guangzhou–Foshan urbanization from 2000 to 2020. The LCZ data offer a suitable framework for examining urban–rural gradients, facilitating the analysis of spatial characteristics under varying development conditions. This unified framework enables a comprehensive analysis of the spatiotemporal characteristics of urban spatial integration. The results show that the analysis of the Guangzhou–Foshan metropolitan area reveals that the region has maintained a “core–edge” spatial structure over the past 20 years. The development rate has decelerated following policy changes in 2010, with the adjacent area experiencing significantly slower development compared to the overall study area. LCZ data are effective for comparative analysis of internal spatial development within urban areas, offering a novel approach to studying spatial integration amid urban development.

Keywords: urban integration; human settlement environmental geographic dataset; local climate zone; urban–rural gradients; Guangzhou–Foshan metropolitan area (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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