Optimization of Urban Land Use Structure Based on the Perspective of GMOP-GA—— A Case Study of the Urban Districts of Hohhot

Tongyu Tian, Mei Yu and Hong Su

Asian Agricultural Research, 2018, vol. 10, issue 11

Abstract: Taking the urban districts of Hohhot as the study area, using the classification data of land use change and relevant socio-economic statistical yearbook data in 2001-2016, taking the dual targets of economic-ecological and related constraint factors as the optimal decision of optimization of land use structure, using the Grey Multi-objective Programming (GMOP) and Genetic Algorithm (GA) to estimate the intervals of predictive threshold value of the factors and inequality constraint equations, and on the basis of it to designed two schemes for optimization of land use structure for the study area in 2030 and made them in comparison and optimization. The results show that in contrast to the primitive land use structure, the optimized scheme based on the economic-ecological comprehensive benefit is better than the current land use structure as the two aspects of the overall land output benefit and the scale combination of single type land use and the current land use structure.

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/282523/files/O ... e%20of%20GMOP-GA.pdf (application/pdf)

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:ags:asagre:282523

DOI: 10.22004/ag.econ.282523

Access Statistics for this article

More articles in Asian Agricultural Research from USA-China Science and Culture Media Corporation
Bibliographic data for series maintained by AgEcon Search ().