A Mathematical Model for Flood Victims Evacuation Planning: A case study of flooded areas in Roi Et province from Typhoon Podul and Kajiki in 2019
Keywords:
Transportation, Optimization, Flood Management, Vehicle Routing Problem, Sustainable Cities and CommunitiesAbstract
This research focuses on the problem of route planning to rescue people from floods, which is a case study of flooded areas in Roi Et province caused by Typhoon Podul and Kajiki in 2019. The term “rescue” is generally understood to mean evacuation of flood victims and distribution of survival bags by considering the conditions of urgency and the types of victims. This problem is a Vehicle Routing Problem with Mixed Pickup and Delivery (VRPMPD) in case “1-M-1/ P-D/ Min Cmax”. In the operations of disaster prevention and mitigation management, emergency response and disaster recovery must be implemented with the highest standards and efficiency. Therefore, a mathematical model is formulated to solve the problem in this case study. The objective of the study is to minimize disaster relief operation time by providing routes to help the flood victims in a timely and impartial manner during this crisis. This reduces the loss of life and property among flood-affected individuals, which is extremely critical. The results of the study show that the proposed mathematical model is more efficient in terms of both the solution quality and time complexity than the current model, with 13.14% and 96.32%, respectively.
References
National Disaster Prevention and Mitigation Committee. National Disaster Prevention and Mitigation Plan: Department of Disaster Prevention and Mitigation Ministry of Interior; 2015. Thai.
Statistics of flooding information Disaster Mitigation Center Department of Disaster Prevention and Mitigation.[INTERNET]. 2018 [updated 2015 Jan 2; cited 2021 Jun 9]. Available from: http://direct.disaster.go.th/inner.directing-7.191/cms/ menu_4469/4143.1/
Floods in Thailand 2011. [INTERNET]. 2021 [updated 2021 2019 Aug 31; cited 2021 Jun 9]. Available from: https://th.wikipedia.org/ wiki/
Flooded areas from Typhoon Podul and Kajiki in 2019. [INTERNET]. 2019 [updated 2019 oct 4; cited 2021 Jan 2]. Available from: https://tiwrm.hii.or.th/ current/ 2019/PodulKajiki/news.html
Opassanont S. Logistics Management Perspectives on the Flood Crisis. Business Administration Journal. 2011; 132 (Oct-Dec. 2011): 6-9. Thailand. Thai.
Shahparvari S, Abbasi B. Robust stochastic vehicle routing and scheduling for bushfire emergency evacuation: An Australian case study. Transportation Research Part A: Policy and Practice. 2017 Oct 1;104:32-49.
Yu X, Li C, Yen GG. A knee-guided differential evolution algorithm for unmanned aerial vehicle path planning in disaster management. Applied Soft Computing. 2021 Jan 1;98: 106857.
Oh BH, Kim K, Choi HL, Hwang I. Integer linear program approach for evacuation of disaster victims with different urgency levels. IFAC-PapersOnLine. 2017 Jul 1;50(1):15018-15023.
Chang K, Zhou H, Chen G, Chen H. Multiobjective location routing problem considering uncertain data after disasters. Discrete Dynamics in Nature and Society. 2017 Mar 23;2017.
Guide of Disaster Machinery for Executives Disaster Prevention Measures Division. Department of Disaster Prevention and Mitigation Ministry of Interior, 2018. Thai.
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