Multi-Scenario Simulation of Land Use/Land Cover Change in a Mountainous and Eco-Fragile Urban Agglomeration: Patterns and Implications

Yang Chen (), Majid Amani-Beni () and Laleh Dehghanifarsani
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Yang Chen: School of Design, Southwest Jiaotong University, Chengdu 611756, China
Majid Amani-Beni: School of Architecture, Southwest Jiaotong University, Chengdu 611756, China
Laleh Dehghanifarsani: School of Architecture, Southwest Jiaotong University, Chengdu 611756, China

Land, 2025, vol. 14, issue 9, 1-27

Abstract: Rapid urbanization within ecologically fragile mountainous regions exacerbates tensions between development needs and land use sustainability, yet few studies have systematically quantified long-term land use/land cover (LULC) dynamics in large-scale mountainous urban agglomerations. Focusing on the Chengdu–Chongqing Urban Agglomeration (CCUA) in Southwest China—an archetypal mountainous megaregion undergoing accelerated development—this study analyzed LULC evolution from 1985 to 2019 using multi-period data, identified dominant driving factors through logistic regression, and projected future LULC patterns under various scenarios via the Future Land Use Simulation (FLUS) model. The outcomes indicate that (1) over the past decades, construction land expanded by over 4000 km 2 , an increase of about 318%, while cultivated land decreased by nearly 8600 km 2 , a reduction of 6.86%; (2) the dominant transformation type was the conversion of cultivated land to forest, followed by its conversion to construction land; (3) elevation, slope, and average annual temperature emerged as significant predictors of LULC change, highlighting the critical influence of topographical and climatic conditions; and (4) natural development scenarios (NDS) and ecology and cultivated protection scenarios (ECPS) represent suitable development pathways. These findings contribute to evidence-based spatial governance and provide policy guidance for ecological protection in the CCUA and other similarly vulnerable areas.

Keywords: multi-scenario prediction; FLUS model; urban expansion; Chengdu–Chongqing urban agglomeration (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2025
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