Spatial conflict identification and scenario coordination for construction‒agricultural‒ecological land use

Wei Li (), Zhenjie Chen (), Manchun Li (), Xiaoqian Qiu (), QiQi Zhao () and Yihua Chen ()
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Wei Li: Nanjing University
Zhenjie Chen: Nanjing University
Manchun Li: Nanjing University
Xiaoqian Qiu: Nanjing University
QiQi Zhao: Nanjing University
Yihua Chen: Nanjing University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2025, vol. 27, issue 1, No 67, 1933-1961

Abstract: Abstract Land-use conflicts have become increasingly intense in the process of urbanisation and industrialisation. Previous studies on land-use conflict pay little attention to historical land-use changes and consideration of multi-objective constraints when coordinating conflicts. In this study, we propose a framework for identifying and coordinating land-use conflicts in the construction‒agricultural‒ecological space. In this framework, a conflict intensity index of construction‒agricultural‒ecological land use was created with the local dominance of occurrence probability, which was predicted by spatial dependence logistic regression with historical land-use change. Then, multi-objective constraints based on comparative advantages were used for scenario coordination of construction–agricultural–ecological land-use conflicts. The case study showed that land-use conflicts in Changzhou City exhibited a circular pattern around urban areas, and that agricultural spaces were at risk of encroachment. Five land-use zones were divided using the grouping analysis method. Scenario coordination provided a reference for land-use conflict coordination at different stages of development. Protecting the baseline of food and ecological security as well as controlling urban sprawl can help mitigate land-use conflicts.

Keywords: Land-use conflict; Conflict intensity index; Spatial conflict identification; Scenario coordination; Changzhou City (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10668-023-03950-2

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