Impact of Coastal Hazards on Residents Spatial Accessibility to Health Services

TL;DR

This study develops a GIS-based framework to assess how coastal hazard-induced transportation disruptions affect residents' access to health services over time, considering different failure scenarios and sociodemographic factors.

Contribution

It introduces a novel probabilistic vulnerability model coupled with GIS to evaluate short- and long-term impacts on health service accessibility after coastal hazards.

Findings

Accessibility varies significantly with hazard severity and duration.

Certain sociodemographic groups are more vulnerable to access loss.

The framework can inform mitigation and planning in hazard-prone areas.

Abstract

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.