{"title":"洪水易发地区基于风险的避难所网络设计:在海地的应用","authors":"Maedeh Sharbaf , Valérie Bélanger , Marilène Cherkesly , Marie-Ève Rancourt , Giovanni Michele Toglia","doi":"10.1016/j.omega.2024.103194","DOIUrl":null,"url":null,"abstract":"<div><div>Evacuations occur when human safety is compromised by disasters, such as floods. Shelters play a crucial role in providing protection for individuals who have been displaced or have lost their housing, emphasizing the requirement for secure accessibility. This paper introduces an systematic optimization tool, utilizing mathematical programming, to assist decision-makers in designing an effective shelter network. It is effective preparedness decision as it minimizes the total risk of the network considering its flooding condition during the response phase while maximizing coverage for those most exposed and vulnerable to hazard. We propose a risk-based approach, wherein the inherent risks of the shelter network (i.e., population, shelter, and evacuation risks) have been thoroughly assessed and measured to consider the impacts of floods based on empirical research outputs. To formulate a well-parameterized and valid problem, extensive data collection and processing, incorporating the use of geographic information system (GIS) for data management, have been conducted. In collaboration with the World Bank and Government of Haiti, this project contributes to a development initiative focused on strengthening disaster response capacity and infrastructure for Haiti, experiencing recurrent devastating floods and in need of enhancing its existing shelter network. Detailed computational results highlight the value of our risk-based methodology compared to more common approaches, emphasizing contributions to addressing real humanitarian problems.</div></div>","PeriodicalId":19529,"journal":{"name":"Omega-international Journal of Management Science","volume":"131 ","pages":"Article 103194"},"PeriodicalIF":6.7000,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk-based shelter network design in flood-prone areas: An application to Haiti\",\"authors\":\"Maedeh Sharbaf , Valérie Bélanger , Marilène Cherkesly , Marie-Ève Rancourt , Giovanni Michele Toglia\",\"doi\":\"10.1016/j.omega.2024.103194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Evacuations occur when human safety is compromised by disasters, such as floods. Shelters play a crucial role in providing protection for individuals who have been displaced or have lost their housing, emphasizing the requirement for secure accessibility. This paper introduces an systematic optimization tool, utilizing mathematical programming, to assist decision-makers in designing an effective shelter network. It is effective preparedness decision as it minimizes the total risk of the network considering its flooding condition during the response phase while maximizing coverage for those most exposed and vulnerable to hazard. We propose a risk-based approach, wherein the inherent risks of the shelter network (i.e., population, shelter, and evacuation risks) have been thoroughly assessed and measured to consider the impacts of floods based on empirical research outputs. To formulate a well-parameterized and valid problem, extensive data collection and processing, incorporating the use of geographic information system (GIS) for data management, have been conducted. In collaboration with the World Bank and Government of Haiti, this project contributes to a development initiative focused on strengthening disaster response capacity and infrastructure for Haiti, experiencing recurrent devastating floods and in need of enhancing its existing shelter network. Detailed computational results highlight the value of our risk-based methodology compared to more common approaches, emphasizing contributions to addressing real humanitarian problems.</div></div>\",\"PeriodicalId\":19529,\"journal\":{\"name\":\"Omega-international Journal of Management Science\",\"volume\":\"131 \",\"pages\":\"Article 103194\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Omega-international Journal of Management Science\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0305048324001592\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Omega-international Journal of Management Science","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305048324001592","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
Risk-based shelter network design in flood-prone areas: An application to Haiti
Evacuations occur when human safety is compromised by disasters, such as floods. Shelters play a crucial role in providing protection for individuals who have been displaced or have lost their housing, emphasizing the requirement for secure accessibility. This paper introduces an systematic optimization tool, utilizing mathematical programming, to assist decision-makers in designing an effective shelter network. It is effective preparedness decision as it minimizes the total risk of the network considering its flooding condition during the response phase while maximizing coverage for those most exposed and vulnerable to hazard. We propose a risk-based approach, wherein the inherent risks of the shelter network (i.e., population, shelter, and evacuation risks) have been thoroughly assessed and measured to consider the impacts of floods based on empirical research outputs. To formulate a well-parameterized and valid problem, extensive data collection and processing, incorporating the use of geographic information system (GIS) for data management, have been conducted. In collaboration with the World Bank and Government of Haiti, this project contributes to a development initiative focused on strengthening disaster response capacity and infrastructure for Haiti, experiencing recurrent devastating floods and in need of enhancing its existing shelter network. Detailed computational results highlight the value of our risk-based methodology compared to more common approaches, emphasizing contributions to addressing real humanitarian problems.
期刊介绍:
Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.