Analysis of the Wangping Brownfield Using a Two-Step Urban Brownfield Redevelopment Model
Zhiping Liu,
Yingxue Feng,
Jing Li,
Haoyu Tao,
Zhen Liu,
Xiaodan Li () and
Yue Hu
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Zhiping Liu: State Key Laboratory for Tunnel Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Yingxue Feng: School of Mechanics and Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Jing Li: State Key Laboratory for Tunnel Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Haoyu Tao: State Key Laboratory for Tunnel Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Zhen Liu: State Key Laboratory for Tunnel Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Xiaodan Li: State Key Laboratory for Tunnel Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
Yue Hu: School of Marine and Bioengineering, Yancheng Institute of Technology, Yancheng 224051, China
Land, 2024, vol. 13, issue 11, 1-22
Abstract:
With societal progress, urban brownfields have become restrictive, and redevelopment studies have become an important part of urban renewal. In this work, we developed a two-step model for urban brownfield redevelopment, while considering the Wangping brownfield as the study area. Site suitability evaluation models for brownfield parks, agricultural picking gardens, and creative industrial centers were developed based on the elevation, slope, and surface runoff, and the evaluation results were categorized into five levels. The redevelopment plan was formulated based on these evaluation results. To study the effect of the plan, a transition matrix of land use was assessed using satellite images and the cellular automata (CA)–Markov model; based on the analysis, we predicted the land use situation of the Wangping brownfield, with respect to natural development, for 2030. A comparison of the redevelopment planning with the forecasted results revealed that the proportions of grassland, construction, and unused land decreased by 25.68, 3.12, and 2.38% and those of plowland and forest land increased by 6.61 and 24.57%. This confirms the advantages of redevelopment planning for restoring plowland and increasing biological carbon sinks. Notably, our two-step urban brownfield redevelopment model can enrich the current research on urban brownfields and guide similar urban renewal projects.
Keywords: brownfield redevelopment; site suitability evaluation; effect prediction; cellular automata (CA)–Markov model; land use cover change (LUCC); Wangping (Beijing) (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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