Wenjie Yang , Aakil M. Caunhye , Maolin Zhuo , Qingyi Wang
{"title":"Integrated planning of emergency supply pre-positioning and victim evacuation","authors":"Wenjie Yang , Aakil M. Caunhye , Maolin Zhuo , Qingyi Wang","doi":"10.1016/j.seps.2024.101965","DOIUrl":null,"url":null,"abstract":"<div><p>Natural disasters such as earthquakes, floods, and storms cause numerous human casualties and economic losses every year. Emergency supply pre-positioning and victim evacuation, as two important emergency relief operations, tend to be separately considered in the literature. However, there are intrinsic correlations between the two operations in reality, which calls for an integrated planning of emergency supply pre-positioning and victim evacuation. In this study, we propose a stochastic programming model to optimize, in an integrated way, the deployment of emergency facilities, pre-stocking and distribution of emergency supplies and management of self-evacuated victims under two planning goals, namely cost effectiveness and evacuation fairness. We also formulate four comparison models to highlight the benefits of our integrated planning model. With a case study on the development of an emergency preparedness and response plan in Sichuan Province, China, we not only demonstrate the effectiveness and benefits of our approach but also obtain key managerial insights and policy suggestions for better emergency management practice.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012124001642","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Natural disasters such as earthquakes, floods, and storms cause numerous human casualties and economic losses every year. Emergency supply pre-positioning and victim evacuation, as two important emergency relief operations, tend to be separately considered in the literature. However, there are intrinsic correlations between the two operations in reality, which calls for an integrated planning of emergency supply pre-positioning and victim evacuation. In this study, we propose a stochastic programming model to optimize, in an integrated way, the deployment of emergency facilities, pre-stocking and distribution of emergency supplies and management of self-evacuated victims under two planning goals, namely cost effectiveness and evacuation fairness. We also formulate four comparison models to highlight the benefits of our integrated planning model. With a case study on the development of an emergency preparedness and response plan in Sichuan Province, China, we not only demonstrate the effectiveness and benefits of our approach but also obtain key managerial insights and policy suggestions for better emergency management practice.
期刊介绍:
Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry.
Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution.
Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.