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

ZHOU Min; CAI Yunlong; GUAN Xingliang; TAN Shukui; LU Shasha

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

1.
College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China;
2.
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
3.
National Academy for Mayors of China, Beijing 100029, China;
4.
School of Economics and Management, Beijing Forestry University, Beijing 100083, China

基金项目: 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)

详细信息

通讯作者:
ZHOU Min. E-mail: shijieshandian00@163.com

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

1.
College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China;
2.
College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;
3.
National Academy for Mayors of China, Beijing 100029, China;
4.
School of Economics and Management, Beijing Forestry University, Beijing 100083, China

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

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

[1]	Bashir M A, Tanakamaru H, Tada A, 2009. Spatial and temporal analysis of evapotranspiration using satellite remote sensing data: A case study in the Gezira Scheme, Sudan. Journal of Environmental Informatics, 13(2): 86-92. doi: 10.3808/jei. 200900143
[2]	Chang N B, Chen H W, Ning S K, 2001. Identification of river water quality using the fuzzy synthetic evaluation approach. Journal of Environmental Management, 63(3): 293-305. doi: 10.1006/jema.2001.0483
[3]	Collins R A, Barry P J, 1986. Risk analysis with single-index portfolio models: An application to farm planning. American Journal of Agricultural Economics, 68(1): 152-161. doi: 10.2307/1241660
[4]	Huang G H, 1996. IPWM: An interval parameter water quality management model. Engineering Optimization, 26(2): 79-103. doi: 10.1080/03052159608941111
[5]	Huang G H, 1998. A hybrid inexact-stochastic water management model. European Journal of Operational Research, 107(1): 137-158. doi: 10.1016/S0377-2217(97)00144-6
[6]	Huang G H, Baetz B W, Patry G G, 1992. A grey linear programming approach for municipal solid waste management planning under uncertainty. Civil Engineering Systems, 9(4): 319-335. doi: 10.1080/02630259208970657
[7]	Huang G H, Baetz B W, Patry G G, 1993. A grey fuzzy linear programming approach for municipal solid waste management planning under uncertainty. Civil Engineering Systems, 10(2): 123-146. doi: 10.1080/02630259308970119
[8]	Huang G H, Sae-Lim N, Liu L et al., 2001. An interval-parameter fuzzy-stochastic programming approach for municipal solid waste management and planning. Environmental Modeling and Assessment, 6(4): 271-283. doi: 10.1023/A:1013394118863
[9]	Huang Y F, Baetz B W, Huang G H et al., 2002. Violation analysis for solid waste management systems: An interval fuzzy programming approach. Journal of Environmental Management, 65(4): 431-446. doi: 10.1006/jema.2002.0566
[10]	Li Y P, Huang G H, Huang Y F et al., 2009a. A multistage fuzzy-stochastic programming model for supporting sustainable water resources allocation and management. Environmental Modelling & Software, 24(7): 786-797. doi: 10.1016/j.envsoft.2008.11.008
[11]	Li Y P, Huang G H, Nie S L, 2011. Optimization of regional economic and environmental systems under fuzzy and random uncertainties. Journal of Environmental Management, 92(8): 2010-2020. doi: 10.1016/j.jenvman.2011.03.022
[12]	Li Y P, Huang G H, Yang Z F et al., 2009b. IFTCIP: An integrated optimization model for environmental management under uncertainty. Environmental Modeling & Assessment, 14(3): 315-332. doi: 10.1007/s10666-007-9128-0
[13]	Ligmann-Zielinska A, Church R L, Jankowski P, 2008. Spatial optimization as a generative technique for sustainable multiobjective land-use allocation. International Journal of Geographical Information Science, 22(6): 601-662. doi: 10.1080/ 13658810701587495
[14]	Liu L, Huang G H, Liu Y et al., 2003. A fuzzy-stochastic robust programming model for regional air quality management under uncertainty. Engineering Optimization, 35(2): 177-199. doi: 10.1080/0305215031000097068
[15]	Liu Y, Qin X, Guo H et al., 2007. ICCLP: An inexact chance- constrained linear programming model for land-use management of lake areas in urban fringes. Environmental Management, 40(6): 966-980. doi: 10.1007/s00267-007- 9013-2
[16]	Lu S S, Guan X L, Zhou M et al., 2014. Land resources allocation strategies in an urban area involving uncertainty: A case study of Suzhou, in the Yangtze River Delta of China. Environmental Management, 53(5): 894-912. doi: 10.1007/s00267- 014-0247-5
[17]	Lu S S, Liu Y S, Long H L et al., 2013. Agricultural production structure optimization: A case study of major grain producing areas, China. Journal of Integrative Agriculture, 12(1): 184-197. doi: 10.1016/S2095-3119(13)60218-X
[18]	Lv Y, Huang G H, Li Y P et al., 2010. Planning regional water resources system using an interval fuzzy bi-level programming method. Journal of Environmental Informatics, 16(2): 43-56. doi: 10.3808/jei.201000177
[19]	Maqsood I, Huang G H, Yeomans J S, 2005. An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty. European Journal of Operational Research, 167(1): 208-225. doi: 10.1016/j.ejor.
[20]	2003.08.068
[21]	McDonald J F, 2001. Cost-benefit analysis of local land use allocation decisions. Regional Science, 41(2): 277-299. doi: 10.1111/0022-4146.00217
[22]	Mendoza G A, 1987. A mathematical model for generating land-use allocation alternatives for agroforestry systems. Agroforestry Systems, 5(4): 443-453. doi: 10.1007/BF00047178
[23]	Messina V, Bosetti V, 2003. Uncertainty and option value in land allocation problems. Annals of Operations Research, 124(1-4): 165-181. doi: 10.1023/B:ANOR.0000004767.84402.b3
[24]	Mitsova D, Shuster W, Wang X H, 2011. A cellular automata model of land cover change to integrate urban growth with open space conservation. Landscape and Urban Planning, 99(2): 141-153. doi: 10.1016/j.landurbplan.2010.10.001
[25]	National Bureau of Statistics of the People's Republic of China, 1991-2011. China Statistical Yearbook (1990-2010). Beijing: China Statistics Press.
[26]	Saak A E, 2004. On the Ricardian rent and the allocation of land under joint price and yield uncertainty. European Review of Agricultural Economics, 31(4): 473-479. doi: 10.1093/ erae/31.4.473
[27]	Verburg P H, van Berkel D B, van Doorn A M et al., 2010. Trajectories of land use change in Europe: A model-based exploration of rural futures. Landscape Ecology, 25(2): 217-232. doi: 10.1007/s10980-009-9347-7
[28]	Zhou M, Chen Q, Cai Y L, 2013. Optimizing the industrial structure of a watershed in association with economic-environmental consideration: An inexact fuzzy multi-objective programming model. Journal of Cleaner Production, 42(3): 116-131. doi: 10.1016/j.jclepro.2012.10.047

[1]	Yi SHANG, Dongyan WANG, Shuhan LIU, Hong LI. Stability of Land-use/Land-cover in National Nature Reserves of Jilin Province, China . Chinese Geographical Science, 2022, 32(2): 324-339. doi: 10.1007/s11769-022-1269-1
[2]	Qing LI, Yong ZHOU, Tao XU, Li WANG, Qian ZUO, Jingyi LIU, Xueping SU, Nan HE, Zhengxiang WU. Trade-offs/Synergies in Land-use Function Changes in Central China from 2000 to 2015 . Chinese Geographical Science, 2021, 31(4): 711-726. doi: 10.1007/s11769-021-1219-3
[3]	WANG Fang, GE Quansheng, YU Qibiao, WANG Huaxin, XU Xinliang. Impacts of Land-use and Land-cover Changes on River Runoff in Yellow River Basin for Period of 1956-2012 . Chinese Geographical Science, 2017, 27(1): 13-24. doi: 10.1007/s11769-017-0843-3
[4]	LI Xin, MA Xiaodong. An Uncertain Programming Model for Land Use Structure Optimization to Promote Effectiveness of Land Use Planning . Chinese Geographical Science, 2017, 27(6): 974-988. doi: 10.1007/s11769-017-0896-4
[5]	SONG Wei, CHEN Baiming, ZHANG Ying. Land-use Change and Socio-economic Driving Forces of Rural Settlement in China from 1996 to 2005 . Chinese Geographical Science, 2014, 0(5): 511-524. doi: 10.1007/s11769-013-0633-6
[6]	HU Yecui, ZHENG Yunmei, ZHENG Xinqi. Simulation of Land-use Scenarios for Beijing Using CLUE-S and Markov Composite Models . Chinese Geographical Science, 2013, 23(1): 92-100.
[7]	ZHU Likai, MENG Jijun, MAO Xiyan. Analyzing Land-use Change in Farming-pastoral Transitional Region Using Autologistic Model and Household Survey Approach . Chinese Geographical Science, 2013, 23(6): 716-728. doi: 10.1007/s11769-013-0642-5
[8]	ZHANG Dan, WANG Guoli, ZHOU Huicheng. Assessment on Agricultural Drought Risk Based on Variable Fuzzy Sets Model . Chinese Geographical Science, 2011, 21(2): 167-175.
[9]	LIU Miao, HU Yuanman, ZHANG Wei, et al.. Application of Land-use Change Model in Guiding Regional Planning: A Case Study in Hun-Taizi River Watershed, Northeast China . Chinese Geographical Science, 2011, 21(5): 609-.
[10]	WANG Hongrui, GAO Yuanyuan, LIU Qiong, SONG Jinxi. Land Use Allocation Based on Interval Multi-objective Linear Programming Model: A Case Study of Pi County in Sichuan Province . Chinese Geographical Science, 2010, 20(2): 176-183. doi: 10.1007/s11769-010-0176-z
[11]	Moiwo Juana PAUL. Impact of Land-use Patterns on Distributed Groundwater Recharge and Discharge——A Case Study of Western Jilin, China . Chinese Geographical Science, 2006, 16(3): 229-235.
[12]	WU Kai-ya, HU Shu-heng, SUN Shi-qun. APPLICATION OF FUZZY OPTIMIZATION MODEL IN ECOLOGICAL SECURITY PRE-WARNING . Chinese Geographical Science, 2005, 15(1): 29-33.
[13]	YU Ya-juan, GUO Huai-cheng, LIU Yong, WANG Shu-tong, WANG Jin-feng. FUZZY COMPREHENSIVE EVALUATION MODEL OF ECOLOGICAL DEMONSTRATION AREA . Chinese Geographical Science, 2005, 15(4): 303-308.
[14]	ZHAO Bin, LI Bo, MA Zhi-jun, CHEN Jia-kuan, NAKAGOSHI Nobukazu. WISE EXPLOITATION OF NEWLY GROWING LAND RESOURCES—An Assessment on Land-use Change of Chongming Island Using GIS . Chinese Geographical Science, 2003, 13(2): 134-141.
[15]	XU Xin-liang, ZENG Lan, ZHUANG Da-fang. ANALYSIS ON LAND-USE CHANGE AND SOCIO-ECONOMIC DRIVING FACTORS IN HAINAN ISLAND DURING 50 YEARS FROM 1950 TO 1999 . Chinese Geographical Science, 2002, 12(3): 193-198.
[16]	ZHUANG Da-fang, LIU Ming-liang, DENG Xiang-zheng. SPATIALIZATION MODEL OF POPULATION BASED ON DATASET OF LAND USE AND LAND COVER CHANGE IN CHINA . Chinese Geographical Science, 2002, 12(2): 114-119.
[17]	ZHANG Xin-chang, PAN Qiong, ZHAO Ling-ling, YE Shen-tao. GIS-BASED ANALYSIS OF URBAN LAND-USE CHANGES—A Case Study of Haizhu District of Guangzhou City,China . Chinese Geographical Science, 2002, 12(4): 339-345.
[18]	ZHANG Yan, SHANG Jin-cheng, YU Xiang-yi. STRATEGIC ENVIRONMENT ASSESSMENT ON LAND-USE PLANNING-A Case Study of Changchun Economic and Technological Zone . Chinese Geographical Science, 2002, 12(3): 262-267.
[19]	CAO Xiao-shu, YANG Fan, YAN Xiao-Pei. STUDY ON THE URBAN TRANSPORT AND LAND-USE OF GUANGZHOU . Chinese Geographical Science, 2000, 10(2): 144-150.
[20]	程其畴. ECOLOGIC ENVIRONMENT OF TARIM RIVER AND ITS PROTECTIVE PROGRAMME . Chinese Geographical Science, 1996, 6(2): 185-191.

点击查看大图

计量

文章访问数: 377
HTML全文浏览量: 2
PDF下载量: 1100
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

留言板

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

doi: 10.1007/s11769-014-0708-z

通讯作者:
ZHOU Min. E-mail: shijieshandian00@163.com

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

Corresponding author: ZHOU Min. E-mail: shijieshandian00@163.com

计量

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

doi: 10.1007/s11769-014-0708-z

通讯作者: ZHOU Min. E-mail: shijieshandian00@163.com

English Abstract

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

Corresponding author: ZHOU Min. E-mail: shijieshandian00@163.com

全文HTML

目录

留言板

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

doi: 10.1007/s11769-014-0708-z

通讯作者: ZHOU Min. E-mail: shijieshandian00@163.com

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

Corresponding author: ZHOU Min. E-mail: shijieshandian00@163.com

计量

出版历程

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

doi: 10.1007/s11769-014-0708-z

通讯作者: ZHOU Min. E-mail: shijieshandian00@163.com

English Abstract

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

Corresponding author: ZHOU Min. E-mail: shijieshandian00@163.com

全文HTML

目录

通讯作者:
ZHOU Min. E-mail: shijieshandian00@163.com