Harris R. Eisenhardt , Thomas Peterson , Michael Schwebel
{"title":"制定衡量美国无房人口易受气候变化影响程度的方法","authors":"Harris R. Eisenhardt , Thomas Peterson , Michael Schwebel","doi":"10.1016/j.crm.2024.100629","DOIUrl":null,"url":null,"abstract":"<div><p>The interactions between climate change and homelessness in the United States are neither widely documented nor uniformly quantified. Individuals who experience homelessness are commonly not accounted for in community, state, or federal climate change adaptation planning or vulnerability assessment frameworks. Drawing on established vulnerability assessment publications, this review and analysis presents a standard approach to evaluate the climate vulnerability of an unhoused population, modeled at U.S. census tract granularity. The methodology features recommended steps to leverage modeling-, survey-, and evaluation-based indicators to measure exposure, sensitivity, and adaptive capacity to determine vulnerability of an unhoused population to relevant climate impact drivers. Standardizing a vulnerability assessment methodology that prioritizes unhoused populations can facilitate new opportunities for data compilation, enabling assessment practitioners to highlight urgent vulnerability gaps and undertake targeted interventions to improve resilience within an unhoused population.</p></div>","PeriodicalId":54226,"journal":{"name":"Climate Risk Management","volume":"45 ","pages":"Article 100629"},"PeriodicalIF":4.8000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212096324000469/pdfft?md5=9ea31081d7d5041fc1ddc8036f818b65&pid=1-s2.0-S2212096324000469-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Establishing a methodology to measure vulnerability of unhoused populations to climate change in the United States\",\"authors\":\"Harris R. Eisenhardt , Thomas Peterson , Michael Schwebel\",\"doi\":\"10.1016/j.crm.2024.100629\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The interactions between climate change and homelessness in the United States are neither widely documented nor uniformly quantified. Individuals who experience homelessness are commonly not accounted for in community, state, or federal climate change adaptation planning or vulnerability assessment frameworks. Drawing on established vulnerability assessment publications, this review and analysis presents a standard approach to evaluate the climate vulnerability of an unhoused population, modeled at U.S. census tract granularity. The methodology features recommended steps to leverage modeling-, survey-, and evaluation-based indicators to measure exposure, sensitivity, and adaptive capacity to determine vulnerability of an unhoused population to relevant climate impact drivers. Standardizing a vulnerability assessment methodology that prioritizes unhoused populations can facilitate new opportunities for data compilation, enabling assessment practitioners to highlight urgent vulnerability gaps and undertake targeted interventions to improve resilience within an unhoused population.</p></div>\",\"PeriodicalId\":54226,\"journal\":{\"name\":\"Climate Risk Management\",\"volume\":\"45 \",\"pages\":\"Article 100629\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2212096324000469/pdfft?md5=9ea31081d7d5041fc1ddc8036f818b65&pid=1-s2.0-S2212096324000469-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Climate Risk Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2212096324000469\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Climate Risk Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212096324000469","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Establishing a methodology to measure vulnerability of unhoused populations to climate change in the United States
The interactions between climate change and homelessness in the United States are neither widely documented nor uniformly quantified. Individuals who experience homelessness are commonly not accounted for in community, state, or federal climate change adaptation planning or vulnerability assessment frameworks. Drawing on established vulnerability assessment publications, this review and analysis presents a standard approach to evaluate the climate vulnerability of an unhoused population, modeled at U.S. census tract granularity. The methodology features recommended steps to leverage modeling-, survey-, and evaluation-based indicators to measure exposure, sensitivity, and adaptive capacity to determine vulnerability of an unhoused population to relevant climate impact drivers. Standardizing a vulnerability assessment methodology that prioritizes unhoused populations can facilitate new opportunities for data compilation, enabling assessment practitioners to highlight urgent vulnerability gaps and undertake targeted interventions to improve resilience within an unhoused population.
期刊介绍:
Climate Risk Management publishes original scientific contributions, state-of-the-art reviews and reports of practical experience on the use of knowledge and information regarding the consequences of climate variability and climate change in decision and policy making on climate change responses from the near- to long-term.
The concept of climate risk management refers to activities and methods that are used by individuals, organizations, and institutions to facilitate climate-resilient decision-making. Its objective is to promote sustainable development by maximizing the beneficial impacts of climate change responses and minimizing negative impacts across the full spectrum of geographies and sectors that are potentially affected by the changing climate.