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

Zuo Zhang, Min Zhou, Guoliang Ou, Shukui Tan, Yan Song, Lu Zhang and Xin Nie
Additional contact information
Zuo Zhang: Collage of Public Administration, Central China Normal University, Wuhan 430079, China
Min Zhou: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Guoliang Ou: School of Construction and Environmental Engineering, Shenzhen Polytechnic, Shenzhen 518055, China
Shukui Tan: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Yan Song: The Department of City and Regional Planning, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Lu Zhang: College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China
Xin Nie: School of Public Administration, Guangxi University, Nanning 530004, China

IJERPH, 2019, vol. 16, issue 21, 1-23

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.

Keywords: land-use allocation; interval stochastic fuzzy programming; land suitability evaluation; hybrid quantitative and spatial optimization model; environmental constraints (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/21/4124/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/21/4124/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:21:p:4124-:d:280498

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().