{"title":"研究受哈维飓风影响地区社会脆弱性对损害程度的潜在影响","authors":"Hui-Peng Liew, Nathan T. Eidem","doi":"10.1515/jhsem-2020-0014","DOIUrl":null,"url":null,"abstract":"Abstract To our knowledge, this is one of the pioneering studies that examined the associations between changes in different dimensions of social vulnerability from 2000 to 2016 on damage levels resulting from Hurricane Harvey. The empirical work was based on data obtained from the FEMA Modeled Building Damage Assessments Harvey 20170829 and the Agency for Toxic Substances and Disease Registry (ATSDR)’s Geospatial Research, Analysis & Services Program (GRASP). Results from linear mixed effects modeling and the spatial error and CAR models suggested that damage level was determined by certain aspects of social vulnerability; the level of damage increased with inundation depth, population aging, and the proportion of minority population. Efforts to promote resilience in natural disasters should focus on individuals living in areas characterized by increases in population aging and minority population. Results also revealed that certain processes associated with economic growth and urban development might affect an area’s resilience and susceptibility to natural disasters and the processes associated with disaster response and mitigation.","PeriodicalId":46847,"journal":{"name":"Journal of Homeland Security and Emergency Management","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Examining the Potential Impacts of Social Vulnerability on Damage Levels in Areas Affected by Hurricane Harvey\",\"authors\":\"Hui-Peng Liew, Nathan T. Eidem\",\"doi\":\"10.1515/jhsem-2020-0014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract To our knowledge, this is one of the pioneering studies that examined the associations between changes in different dimensions of social vulnerability from 2000 to 2016 on damage levels resulting from Hurricane Harvey. The empirical work was based on data obtained from the FEMA Modeled Building Damage Assessments Harvey 20170829 and the Agency for Toxic Substances and Disease Registry (ATSDR)’s Geospatial Research, Analysis & Services Program (GRASP). Results from linear mixed effects modeling and the spatial error and CAR models suggested that damage level was determined by certain aspects of social vulnerability; the level of damage increased with inundation depth, population aging, and the proportion of minority population. Efforts to promote resilience in natural disasters should focus on individuals living in areas characterized by increases in population aging and minority population. Results also revealed that certain processes associated with economic growth and urban development might affect an area’s resilience and susceptibility to natural disasters and the processes associated with disaster response and mitigation.\",\"PeriodicalId\":46847,\"journal\":{\"name\":\"Journal of Homeland Security and Emergency Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Homeland Security and Emergency Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1515/jhsem-2020-0014\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC ADMINISTRATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Homeland Security and Emergency Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1515/jhsem-2020-0014","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
Examining the Potential Impacts of Social Vulnerability on Damage Levels in Areas Affected by Hurricane Harvey
Abstract To our knowledge, this is one of the pioneering studies that examined the associations between changes in different dimensions of social vulnerability from 2000 to 2016 on damage levels resulting from Hurricane Harvey. The empirical work was based on data obtained from the FEMA Modeled Building Damage Assessments Harvey 20170829 and the Agency for Toxic Substances and Disease Registry (ATSDR)’s Geospatial Research, Analysis & Services Program (GRASP). Results from linear mixed effects modeling and the spatial error and CAR models suggested that damage level was determined by certain aspects of social vulnerability; the level of damage increased with inundation depth, population aging, and the proportion of minority population. Efforts to promote resilience in natural disasters should focus on individuals living in areas characterized by increases in population aging and minority population. Results also revealed that certain processes associated with economic growth and urban development might affect an area’s resilience and susceptibility to natural disasters and the processes associated with disaster response and mitigation.
期刊介绍:
The Journal of Homeland Security and Emergency Management publishes original, innovative, and timely articles describing research or practice in the fields of homeland security and emergency management. JHSEM publishes not only peer-reviewed articles, but also news and communiqués from researchers and practitioners, and book/media reviews. Content comes from a broad array of authors representing many professions, including emergency management, engineering, political science and policy, decision science, and health and medicine, as well as from emergency management and homeland security practitioners.