Land Resources Allocation Strategies in an Urban Area Involving Uncertainty: A Case Study of Suzhou, in the Yangtze River Delta of China

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• 作者：Shasha Lu (1)
  Xingliang Guan (2)
  Min Zhou (3)
  Yang Wang (4)
  
• 关键词：Land resources allocation ; Uncertainty ; Multi ; objective ; Interval ; stochastic ; Food security ; Suzhou
• 刊名：Environmental Management
• 出版年：2014
• 出版时间：May 2014
• 年：2014
• 卷：53
• 期：5
• 页码：894-912
• 全文大小：1,032 KB
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• 作者单位：Shasha Lu (1)
  Xingliang Guan (2)
  Min Zhou (3)
  Yang Wang (4)
  
  1. School of Economics and Management, Beijing Forestry University, Room C0514, No. 35, Tsinghua East Road, Haidian District, Beijing, 100083, People鈥檚 Republic of China
  2. National Academy for Mayors of China, Huixin West Street, Chaoyang District, Beijing, 100029, People鈥檚 Republic of China
  3. College of Public Administration, Huazhong University of Science and Technology, Non-traditional Security Center of Huazhong University of Science and Technology, Wuhan, 430074, People鈥檚 Republic of China
  4. Guangzhou Institute of Geography, 100 Xianliezhong Road, Guangzhou, 510070, People鈥檚 Republic of China
  
• ISSN：1432-1009

文摘

A large number of mathematical models have been developed to support land resource allocation decisions and land management needs; however, few of them can address various uncertainties that exist in relation to many factors presented in such decisions (e.g., land resource availabilities, land demands, land-use patterns, and social demands, as well as ecological requirements). In this study, a multi-objective interval-stochastic land resource allocation model (MOISLAM) was developed for tackling uncertainty that presents as discrete intervals and/or probability distributions. The developed model improves upon the existing multi-objective programming and inexact optimization approaches. The MOISLAM not only considers economic factors, but also involves food security and eco-environmental constraints; it can, therefore, effectively reflect various interrelations among different aspects in a land resource management system. Moreover, the model can also help examine the reliability of satisfying (or the risk of violating) system constraints under uncertainty. In this study, the MOISLAM was applied to a real case of long-term urban land resource allocation planning in Suzhou, in the Yangtze River Delta of China. Interval solutions associated with different risk levels of constraint violation were obtained. The results are considered useful for generating a range of decision alternatives under various system conditions, and thus helping decision makers to identify a desirable land resource allocation strategy under uncertainty.