A Hybrid Inexact Optimization Model for Land-use Allocation of China

作     者：ZHOU Min CAI Yunlong GUAN Xingliang TAN Shukui LU Shasha 

作者机构：College of Public Administration Huazhong University of Science and Technology College of Urban and Environmental Sciences Peking University National Academy for Mayors of China School of Economics and Management Beijing Forestry University 

出 版 物：《Chinese Geographical Science》 (中国地理科学（英文版）)

年 卷 期：2015年第25卷第1期

页      面：62-73页

核心收录：

学科分类：07[理学] 08[工学] 09[农学] 0903[农学-农业资源与环境] 070104[理学-应用数学] 083306[工学-城乡规划管理] 0833[工学-城乡规划学] 0701[理学-数学] 

基　　金：Under the auspices of National Natural Science Foundation of China(No.41201164) Humanities and Social Science Research Planning Fund,Ministry of Education of China(No.12YJCZH299) 

主　　题：land-use planning uncertain model interval linear programming(ILP) fuzzy flexible programming(FFP) environmental protection interval fuzzy national-scale land-use model(IFNLM) 

摘      要：Land scarcity has become the prominent obstacle on the way to sustainable development for China. Under the constraints of land shortage, how to allocate the finite land resources to the multiple land users in China considering various political, environmental, ecological and economic conditions have become research topics with great significance. In this study, an interval fuzzy national-scale land-use model(IFNLM) was developed for optimizing land systems of China. IFNLM is based on an integration of existing interval linear programming(ILP), and fuzzy flexible programming(FFP) techniques. IFNLM allows uncertainties expressed as discrete interval values and fuzzy sets to be incorporated within a general optimization framework. It can also facilitate national-scale land-use planning under various environmental, ecological, social conditions within a multi-period and multi-option context. Then, IFNLM was applied to a real case study of land-use planning in China. The satisfaction degree of environmental constraints is between 0.69 and 0.97, the system benefit will between 198.25 × 1012 USD and 229.67 × 1012 USD. The results indicated that the hybrid model can help generate desired policies for land-use allocation with a maximized economic benefit and minimized environmental violation risk. Optimized land-use allocation patterns can be generated from the proposed IFNLM.