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Decision support approach based on multiple objectives and resources for assessing the relocation plan of dangerous hillside aggregations

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  • Juan, Yi-Kai
  • Castro, Daniel
  • Roper, Kathy

Abstract

The overdevelopment of hillside areas, coupled with the effects of global climate change, has increased the likelihood of disasters with severe consequences, such as material damages and loss of lives. Thus, there is a great urgency to create relocation plans for dangerous hillside aggregations that are not suitable for human settlement. The government of Taipei City in Taiwan has not properly addressed the assessment needs for decisions involving priority and budget allocation for these relocation projects. This study proposes a hybrid approach combining the Delphi method, fuzzy-logic inference system (FLIS), and the multi-objective programming (MOP) method to assist the city government in dealing with complex aggregation relocation decision problems. Twenty-four projects are tested by the proposed approach. Compared to the original relocation plan, results from this study reveal that the proposed approach is more objective and effective in relocation prioritization, project selection, budget utilization, and resource planning. These results will provide the city government with useful information for improving the relocation plan, thereby reducing the potential for human and material losses due to inadequate decision-making.

Suggested Citation

  • Juan, Yi-Kai & Castro, Daniel & Roper, Kathy, 2010. "Decision support approach based on multiple objectives and resources for assessing the relocation plan of dangerous hillside aggregations," European Journal of Operational Research, Elsevier, vol. 202(1), pages 265-272, April.
    • Handle: RePEc:eee:ejores:v:202:y:2010:i:1:p:265-272
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    3. Edwin Chan & Grace Lee, 2008. "Critical factors for improving social sustainability of urban renewal projects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 85(2), pages 243-256, January.
    4. Elliot R. Lieberman, 1991. "Soviet Multi-Objective Mathematical Programming Methods: An Overview," Management Science, INFORMS, vol. 37(9), pages 1147-1165, September.
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    1. Yan Liu & Meiyue Sang & Xiangrui Xu & Liyin Shen & Haijun Bao, 2023. "How Can Urban Regeneration Reduce Carbon Emissions? A Bibliometric Review," Land, MDPI, vol. 12(7), pages 1-19, June.

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