Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints

Bingkui Qiu, Yan Tu, Guoliang Ou (), Min Zhou, Yifan Zhu, Shuhan Liu and Haoyang Ma
Additional contact information
Bingkui Qiu: Department of Tourism Management, Jin Zhong University, Jinzhong 033619, China
Yan Tu: Hunan Institute of Science and Technology Information, Changsha 410001, China
Guoliang Ou: School of Construction and Environmental Engineering, Shenzhen Polytechnic, Number 7098, Liuxian Dadao, Nanshan District, Shenzhen 518055, China
Min Zhou: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Yifan Zhu: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Shuhan Liu: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Haoyang Ma: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China

Land, 2023, vol. 12, issue 5, 1-21

Abstract: In this paper, an uncertain interval stochastic fuzzy chance constraint land use optimal allocation method is proposed and applied to solve the problem of land use planning in river basins. The UISFCL-LUP method is an aggregation of interval parametric programming, fuzzy linear programming and chance constraint programming which can cope with uncertain problems such as interval value, fuzzy set and probability. In this paper, the uncertain mathematical method is explored and studied in the optimal allocation of land use in the next two planning periods of Nansihu Lake Basin in China. Moreover, it was proved that ISFCL-LUP can deal with the uncertainty of interval, membership function and probability representation and can also be used to solve the land use planning and land use strategy analysis under uncertain conditions. On the basis of model calculations, we obtained the optimal allocation results for six types of land use in four regions over two planning periods based on different environmental constraints. The results show that the optimized λ value (that is, the degree of satisfaction with all the model conditions) is in the range of [0.54, 0.79] and the corresponding system benefits are between [18.4, 20.4] × 1012 RMB and [96.7, 109.3] × 1012 RMB. The results indicate that land managers can make judgments based on the different socio-economic development needs of different regions and determine strategic land use allocation plans under uncertain conditions. At the same time, the model obtained interval solutions under different system satisfaction and constraint violation probabilities, which helps land managers to analyze the importance of land system optimization and sustainable development more deeply.

Keywords: land use planning; uncertainty; interval fuzzy chance model; environmental protection; Nansi Lake Basin (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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