{"title":"Evacuation Planning In Natural Disaster Using Multi Objective\nOptimization Approach: The Rohingya Refugee Crisis in Bangladesh","authors":"Md. Ridwanur Rahman, Samia Zakir Sarothi, Tanvir Mustafy","doi":"10.11159/iccste20.331","DOIUrl":null,"url":null,"abstract":"Introduction The Rohingya refugee is an alarming humanitarian crisis in the current world community. Majority of these refugees are living in Kutupalong-Balukhali, Cox’s Bazar under high congestion and annual disasters (i.e. landslide, cyclones, flood) have put their life in great risk. From this perspective, the study aims on proposing location-allocation based evacuation plan for the Rohingya camp using three different multi objective optimization techniques namely AMOSA [1], NSGA-II [2] and NMGA [2]. GIS is also integrated with the optimization techniques. We selected Camp 8E of the Kutupalong-Balukhali Expansion Site as our case study area.","PeriodicalId":307663,"journal":{"name":"Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11159/iccste20.331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction The Rohingya refugee is an alarming humanitarian crisis in the current world community. Majority of these refugees are living in Kutupalong-Balukhali, Cox’s Bazar under high congestion and annual disasters (i.e. landslide, cyclones, flood) have put their life in great risk. From this perspective, the study aims on proposing location-allocation based evacuation plan for the Rohingya camp using three different multi objective optimization techniques namely AMOSA [1], NSGA-II [2] and NMGA [2]. GIS is also integrated with the optimization techniques. We selected Camp 8E of the Kutupalong-Balukhali Expansion Site as our case study area.