Abstract
Kengting National Park, located in southern Taiwan and surrounded by the sea on three sides, is the only national park that covers both land and sea. The summer is 9 months long, and its yearly average temperature is 24.5 °C, which is very suitable for many different water activities. There were 7 million visitors in 2013, a sign of booming tourism. Unfortunately, the park has experienced as many as 2.4 typhoons yearly, according to Taiwan’s Central Weather Bureau statistics. In addition, its geography is also unique, with steep hillsides and fragile geology. It is very close to the Hengchun fault, the Bashi Channel, and a nuclear power plant. This tourist site has a very high potential for complex disasters. There is only one main road. If a strong earthquake occurred, it would easily result in traffic disruption. Based on these concerns, this research studied the allocation of current evacuation/refuge shelters and their service areas to determine whether these shelters are sufficient for overall disaster demands, including the number of people each evacuation/refuge shelter can accommodate, service area, and space allocation. The study integrated a multi-decision making model with a Geographic Information System to establish the most optimal allocation of disaster evacuation/refuge shelters for disaster prevention in Kengting National Park.
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References
Aly AA, White JA (1978) Probabilistic formulation of the emergency service location problem. JOper Res Soc 29(12):1167–1179
Chiu YC, Zheng H (2007) Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: model formulation and solution. Transp Res Part E 43(6):710–736
Chung CH (2004) A study of location of urgent refuge sites in old urban area (master thesis). Urban Planning Department of National Cheng kung University, Tainan
Church R, ReVelle C (1974) The maximal covering location problem. Pap Reg Sci As 32:101–118
Elloumi S (2010) A tighter formulation of the p-median problem. J Comb Optim 19(1):69–83
Fang LA (2011) Integrating LSCP and Dijkstra methods to analysis the location- allocation problem of fire stations: a case study in Taichung city (master thesis). Graduate Institute of Environmental and Spatial Information Science and Technology, Feng Chia University, Taichung
Kalafatas G, Peeta S (2008) Planning for evacuation: insights from an efficient network design model. J Infrastruct Syst 15(1):21–30
Kim S, George B, Shekhar S (2009) A scalable heuristic for evacuation planning in large road network. In: Proceedings of GIS-IWCTS 2009
Ku TM (2011) A robust vertex p-center model for locating urgent relief distribution centers (master thesis). Industrial Engineering and Management, National Taipei University of Technology, Taipei
Larson RC, Odoni AR (1981) Urban operations research. Prentice-Hall, New Jersey
Liu Y, Lai X, Chang GL (2006) Two-level integrated optimization system for planning of emergency evacuation. J Transp Eng 132(10):800–807
Lou PJ (2005) Multi-objective decision making for location of tourism disaster prevention. Management sciences research (Special Issue Editor), pp 45–56
Melechovsky J, Prins C, Calvo RW (2005) A metaheuristic to solve a location-routing problem with non-linear costs. J Heuristics 11:375–391
Pingtung County Government (2014) Evacuation direction and disaster prevention information. Retrieved from http://www.pthg.gov.tw/tw/index.aspx
Reza ZF, Nasrin A, Nooshin H, Mahtab H, Mark G (2012) Covering problems in facility location: a review. Comput Ind Eng 62(1):368–407
Saadatseresht M, Mansourian A, Taleai M (2009) Evacuation planning using multiobjective evolutionary optimization approach. Eur J Oper Res 198(1):305–314
Sbayti H, Mahmassani HS (2006) Optimal scheduling of evacuation operations. Transp Res Rec 1964:238–246
Tourism Bureau, Republic of China (2014) Visitors to the principal scenic spots in Taiwan, 2013. Retrieved from http://admin.taiwan.net.tw/statistics/year.aspx?no=134
Wen KL, Chang YW, Lin CM, Chiang HJ, Huang MW (2008) Damage and ground motion of the 26 December 2006 Pingtung earthquakes, Taiwan. Terr Atmos Ocean Sci 19(6):641–651
Xie C, Lin DY, Waller ST (2010) A dynamic evacuation network optimization problem with lane reversal and crossing elimination strategies. Transp Res Part E 46(3):295–316
Yeh YL (2012) The study on disaster prevention and protection planning of Pingtung county government, national fire agency of the ministry of the interior. National Pingtung University of Science and Technology
Acknowledgments
This work was supported by the Ministry of Science and Technology of the ROC under Grant Nos. MOST 103-2410-H-153-030, and MOST 104-2410-H-153-017.
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Tsai, CH., Yeh, YL. The study of integrating geographic information with multi-objective decision making on allocating the appropriate refuge shelters: using Kengting National Park as an example. Nat Hazards 82, 2133–2147 (2016). https://doi.org/10.1007/s11069-016-2298-9
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DOI: https://doi.org/10.1007/s11069-016-2298-9