论文标题
沿海危害对居民卫生服务的空间可及性的影响
Impact of Coastal Hazards on Residents Spatial Accessibility to Health Services
论文作者
论文摘要
居民的流动性及其获得基本服务的机会可能会受到沿海危险事件期间和之后发生的运输网络关闭的高度影响。很少有研究使用地理信息系统,结合基础设施脆弱性模型来探索飓风后对商品和服务的空间可访问性如何变化。尤其缺乏探索空间可访问卫生服务的模型。这项研究提供了一个框架,以研究飓风期间和之后的运输网络破坏如何影响居民随着时间的推移获得卫生服务的能力。两种不同的桥梁闭合条件,即淹没和结构性故障,以及道路淹没,用于量化短期和长期时间尺度上的胸腺后可及性。淹没可能会关闭数小时或数天的桥梁,但是结构性故障可能会闭合数周或数月的路线。两种形式的封闭形式均使用概率脆弱性模型以及基于GIS的模型,以评估沿海危害后的空间可及性。哈里斯县(Harris County)是德克萨斯州东南部容易出现沿海危害的地区,被用作案例研究。结果表明,特定领域的可及性得分的变化取决于危险场景的感兴趣和强度的时间尺度。还检查了研究区域的社会人口统计学指标,揭示了最有可能缺乏可访问性的人群。总体而言,提出的框架有助于了解短期功能损失和长期损害如何影响危险后的医疗保健等关键服务的获取。反过来,这些信息可以塑造有关未来缓解和计划工作的决策,而所提出的框架可以扩展到其他容易发生危险领域。
The mobility of residents and their access to essential services can be highly affected by transportation network closures that occur during and after coastal hazard events. Few studies have used geographic information systems coupled with infrastructure vulnerability models to explore how spatial accessibility to goods and services shifts after a hurricane. Models that explore spatial accessibility to health services are particularly lacking. This study provides a framework to examine how the disruption of transportation networks during and after a hurricane can impact a residents ability to access health services over time. Two different bridge closure conditions, inundation and structural failure, along with roadway inundation are used to quantify post-hurricane accessibility at short- and long-term temporal scales. Inundation may close a bridge for hours or days, but a structural failure may close a route for weeks or months. Both forms of closure are incorporated using probabilistic vulnerability models coupled with GIS-based models to assess spatial accessibility in the aftermath of a coastal hazard. Harris County, an area in Southeastern Texas prone to coastal hazards, is used as a case study. The results indicate changes in the accessibility scores of specific areas depending on the temporal scale of interest and intensity of the hazard scenario. Sociodemographic indicators are also examined for the study region, revealing the populations most likely to suffer from lack of accessibility. Overall, the presented framework helps to understand how both short-term functionality loss and long-term damage affect access to critical services such as health care after a hazard. This information, in turn, can shape decisions about future mitigation and planning efforts, while the presented framework can be expanded to other hazard-prone areas.