Suppr超能文献

特殊需求飓风避难所与老龄化人口:一种方法的开发及案例研究应用

Special needs hurricane shelters and the ageing population: development of a methodology and a case study application.

作者信息

Horner Mark W, Ozguven Eren Erman, Marcelin Jean Michael, Kocatepe Ayberk

机构信息

PhD is a Professor in the Department of Geography, Florida State University, United States.

PhD is an Assistant Professor in the Department of Civil and Environmental Engineering, Florida A&M University-Florida State University College of Engineering, United States.

出版信息

Disasters. 2018 Jan;42(1):169-186. doi: 10.1111/disa.12233. Epub 2017 Apr 28.

Abstract

Recent experience of hurricanes, particularly in the southeast United States, has heightened awareness of the multifaceted nature of and the challenges to effective disaster relief planning. One key element of this planning is providing adequate shelter at secure locations for people who evacuate. Some of these individuals will have 'special needs', yet there is little research on the relationship with shelter space. This study designed a geographic information systems-based network optimisation methodology for the siting of special needs hurricane relief shelters, with a focus on the transportation component. It sought to find new locations for shelters that maximise accessibility by vulnerable populations, given capacity constraints, concentrating on the ageing population. The framework was implemented in a medium-sized metropolitan statistical area in the state of Florida where data suggest a possible deficit in special needs shelter space. The study analysed options for increasing special needs shelter capacity, while considering potential uncertainties in transportation network availability.

摘要

近期飓风带来的经历,尤其是在美国东南部,提高了人们对有效救灾规划的多面性及挑战的认识。这项规划的一个关键要素是在安全地点为撤离人员提供充足的避难所。这些人中有些会有“特殊需求”,但关于与避难所空间的关系却鲜有研究。本研究设计了一种基于地理信息系统的网络优化方法,用于确定有特殊需求的飓风避难所的选址,重点关注交通部分。它试图在容量限制下,为弱势群体找到能最大程度提高可达性的避难所新地点,尤其关注老年人群体。该框架在佛罗里达州一个中等规模的大都市统计区实施,那里的数据表明特殊需求避难所空间可能存在不足。该研究分析了增加特殊需求避难所容量的选项,同时考虑了交通网络可用性方面的潜在不确定性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验