2019
DOI: 10.3390/ijerph16214124
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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 qua… Show more

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Cited by 13 publications
(9 citation statements)
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“…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.…”
Section: Construction Of Three-dimensional Indicator Systemmentioning
confidence: 99%
“…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.…”
Section: Construction Of Three-dimensional Indicator Systemmentioning
confidence: 99%
“…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].…”
Section: Introductionmentioning
confidence: 99%
“…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 ].…”
Section: Introductionmentioning
confidence: 99%