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

Abstract

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.