The Facility of Urgent Refuge Sites under Uncertainty-Feng Yuan City Taichung County

• Main Authors: Ke- Yan Liu, 劉克彥
• Other Authors: 林榮禾
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/4qx86d

碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 98 === As an island characterized by a subtropical climate and located on the volcanic island arch of the Pacific Rim, Taiwan has been vulnerable to natural disasters. The 921 earthquake, 88 floods, and mugslides, for example, have caused devastating damages. However, current policies and extant researches focus mainly on the number and scale of urgent refuge sites. Not many studies have been dedicated to address the distribution and location of urgent refuge sites. The study accordingly proposes a three-year project to develop an optimal USR geographic allocation model. I focus on adopting the LSCP(Location Set Covering Problem) optimization model to identify the optimal geographic allocation ofexisting urgent refuge sites in a selected diagnosis region. Meanwhile a URS spatial databank for the diagnosis region will also be established. reduce the influences of uncertain parameters on the results of geographic allocation by applying the robust optimization (RO) approach to test the efficacy (robustness) of the proposed optimal URS geographic allocation model in terms of fairness and efficiency. performs further studies on the reasonable service scope and scale of the urgent refuge sites, using.heuristic Algorithm to assess if the obtained optimal geographic allocation can beeffectively applied to real-life situations. Moreover, simulation will be conducted based on the status of roads and the size of population in different regions in Taiwan so as to establish an optimal model for URS planning.