Spatial Characteristics of Brownfield Clusters and “City-Brown” Patterns: Case Studies of Resource-Exhausted Cities in China

Quanchuan Fu, Yawen Han, Shuangbin Xiang, Jingyuan Zhu, Linlin Zhang and Xiaodi Zheng ()
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Quanchuan Fu: School of Architecture and Design, Beijing Jiaotong University, Beijing 100044, China
Yawen Han: School of Architecture, Tsinghua University, Beijing 100084, China
Shuangbin Xiang: School of Architecture, Tsinghua University, Beijing 100084, China
Jingyuan Zhu: School of Architecture, Tsinghua University, Beijing 100084, China
Linlin Zhang: School of Architecture, Tsinghua University, Beijing 100084, China
Xiaodi Zheng: School of Architecture, Tsinghua University, Beijing 100084, China

Land, 2024, vol. 13, issue 8, 1-22

Abstract: In the post-industrial era, many cities have experienced the decline of heavy industry and traditional manufacturing, leading to the widespread emergence of brownfields. These often cluster geographically, forming “brownfield clusters” characterized by shared spatial and functional traits. Our research examined these phenomena within 10 resource-exhausted cities in China, employing kernel density analysis to explore the spatial dynamics within and among these clusters and their urban contexts. We identified three distinct spatial relationships between brownfield clusters and their host cities (coupling, juxtaposition, and encircling), with a detailed case study in Huangshi City further classifying the clusters into five categories based on their dominant factors, spatial morphologies, types of brownfields, and internal dynamics. The study reveals that the spatial configurations of brownfield clusters are significantly influenced by geographic features, transportation infrastructure, and policy frameworks. Based on these findings, we propose targeted regeneration strategies for each cluster type. This research not only enhances our understanding of brownfield challenges and opportunities in China’s resource-exhausted cities but also serves as a valuable reference for other cities and regions worldwide facing similar challenges.

Keywords: brownfield identification; kernel density analysis; spatial analysis; brownfield regeneration; resources-based cities; sustainable urban planning; geographical information system (GIS) (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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