Land Suitability Evaluation and an Interval Stochastic Fuzzy Programming-Based Optimization Model for Land-Use Planning and Environmental Policy Analysis

Abstract

People explosion and fast economic growth are bringing a more serious land resource shortage crisis. Rational land-use allocation can effectively reduce this burden. Existing land-use allocation models may deal with a lot of challenges of land-use planning. This study proposed a hybrid quantitative and spatial optimization land-use allocation model that could enrich the land-use allocation method system. This model has three advantages compared to former methods: (1) this model can simultaneously solve the quantitative land area optimization problem and spatial allocation problem, which are the two core aspects of land-use allocation; (2) the land suitability assessment method considers various geographical, economic and environmental factors which are essential to land-use allocation; (3) this model used an interval stochastic fuzzy programming land-use allocation model to solve the quantitative land area optimization problem. This model not only considers three uncertainties in the natural system but also involves various economic, social, ecological and environmental constraints—most of which are specifically put into the optimization process. The proposed model has been applied to a real case study in Liannan county, Guangdong province, China. The results could help land managers and decision makers to conduct sound land-use planning/policy and could help scientists understand the inner contradiction among economic development, environmental protection, and land use.

Research on Sustainable Land Use Based on Production–Living–Ecological Function: A Case Study of Hubei Province, China

“…Firstly, this study fully analyzed the connotation of sustainable land use based on LUFs. Secondly, this research compared and analyzed the evaluation indicators in relevant researches [27], then an initial evaluation indicator system was established. Thirdly, the initial indicator system was sent to 20 experts and scholars in the fields of land resource management, natural geography, regional development and planning for argumentation.…”

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

“…For example, Ren and Li (2019) constructed an improved stochastic fuzzy multi-objective programming method by which decision makers can make appropriate decisions on the optimal utilization of irrigation water and soil resources under multiple different objectives and uncertain complex conditions [52]. At the same time, in the field of land use allocation research, scholars explored the use of uncertain mathematical models and conducted empirical studies [53][54][55][56][57][58]. For example, Zhou (2015), based on a combination of interval parametric programming, fuzzy flexible linear programming and opportunity constraint planning technology, established an interval fuzzy opportunity constraint land use allocation model to study land use planning under uncertain conditions [59].…”

How to Identify Future Priority Areas for Urban Development: An Approach of Urban Construction Land Suitability in Ecological Sensitive Areas

“…Such an approach is not conducive to the rational formulation of large-scale urban construction land space planning. (2) Almost all evaluation models need to select evaluation indexes and assign appropriate weights [ 26 , 27 ]. With regard to index selection, different evaluation indexes should be selected to evaluate different regions, which has become the consensus in academic circles [ 28 , 29 , 30 ].…”