ZHOU Min, CAI Yunlong, GUAN Xingliang, TAN Shukui, LU Shasha. A Hybrid Inexact Optimization Model for Land-use Allocation of China[J]. Chinese Geographical Science, 2015, 25(1): 62-73. doi: 10.1007/s11769-014-0708-z
Citation: ZHOU Min, CAI Yunlong, GUAN Xingliang, TAN Shukui, LU Shasha. A Hybrid Inexact Optimization Model for Land-use Allocation of China[J]. Chinese Geographical Science, 2015, 25(1): 62-73. doi: 10.1007/s11769-014-0708-z

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

doi: 10.1007/s11769-014-0708-z
Funds:  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)
More Information
  • Corresponding author: ZHOU Min. E-mail: shijieshandian00@163.com
  • Received Date: 2013-03-04
  • Rev Recd Date: 2013-08-27
  • Publish Date: 2014-11-27
  • 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.
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A Hybrid Inexact Optimization Model for Land-use Allocation of China

doi: 10.1007/s11769-014-0708-z
Funds:  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)
    Corresponding author: ZHOU Min. E-mail: shijieshandian00@163.com

Abstract: 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.

ZHOU Min, CAI Yunlong, GUAN Xingliang, TAN Shukui, LU Shasha. A Hybrid Inexact Optimization Model for Land-use Allocation of China[J]. Chinese Geographical Science, 2015, 25(1): 62-73. doi: 10.1007/s11769-014-0708-z
Citation: ZHOU Min, CAI Yunlong, GUAN Xingliang, TAN Shukui, LU Shasha. A Hybrid Inexact Optimization Model for Land-use Allocation of China[J]. Chinese Geographical Science, 2015, 25(1): 62-73. doi: 10.1007/s11769-014-0708-z
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