Alternative Zoning Scenarios for Regional Sustainable Land Use Controls in China: A Knowledge-Based Multiobjective Optimisation Model

Yin Xia, Dianfeng Liu, Yaolin Liu, Jianhua He and Xiaofeng Hong
Additional contact information
Yin Xia: School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Dianfeng Liu: School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Yaolin Liu: School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Jianhua He: School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Xiaofeng Hong: Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, 23 Huangpu Road, Wuhan 430010, China

IJERPH, 2014, vol. 11, issue 9, 1-28

Abstract: Alternative land use zoning scenarios provide guidance for sustainable land use controls. This study focused on an ecologically vulnerable catchment on the Loess Plateau in China, proposed a novel land use zoning model, and generated alternative zoning solutions to satisfy the various requirements of land use stakeholders and managers. This model combined multiple zoning objectives, i.e. , maximum zoning suitability, maximum planning compatibility and maximum spatial compactness, with land use constraints by using goal programming technique, and employed a modified simulated annealing algorithm to search for the optimal zoning solutions. The land use zoning knowledge was incorporated into the initialisation operator and neighbourhood selection strategy of the simulated annealing algorithm to improve its efficiency. The case study indicates that the model is both effective and robust. Five optimal zoning scenarios of the study area were helpful for satisfying the requirements of land use controls in loess hilly regions, e.g., land use intensification, agricultural protection and environmental conservation.

Keywords: land use zoning; scenario; multiobjective optimisation; goal programming; simulated annealing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/11/9/8839/pdf (application/pdf)
https://www.mdpi.com/1660-4601/11/9/8839/ (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:11:y:2014:i:9:p:8839-8866:d:39705

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 ().