Impact of Coastal Hazards on Residents Spatial Accessibility to Health Services

by   Georgios P. Balomenos, et al.

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.



There are no comments yet.


page 27

page 28

page 29

page 30

page 31

page 32

page 33

page 35


Travel Time Prediction using Tree-Based Ensembles

In this paper, we consider the task of predicting travel times between t...

A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection

Structural damage detection has become an interdisciplinary area of inte...

Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement

India accounts for 11% of maternal deaths globally where a woman dies in...

Vulnerability Assessment on Spatial Networks: Models and Solutions

In this paper we present a collection of combinatorial optimization prob...

Decision Support for COVID-19 Policy Including Poverty Drivers

In this paper we present a multi-attribute decision support framework fo...

A public transit network optimization model for equitable access to social services

We present a flexible public transit network design model which optimize...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.