Collection and Integration of Multi-spatial and Multi-type Data for Vulnerability Analysis in Emergency Response Plans

Harsha Gwalani (), Armin R. Mikler (), Suhasini Ramisetty-Mikler () and Martin O’Neill ()
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Harsha Gwalani: University Of North Texas
Armin R. Mikler: University Of North Texas
Suhasini Ramisetty-Mikler: University Of North Texas
Martin O’Neill: University Of North Texas

A chapter in Advances and New Trends in Environmental Informatics, 2017, pp 89-101 from Springer

Abstract: Abstract Public health emergencies, whether natural or manmade, require a timely and well planned response from the local health authorities to mitigate the economic and human loss. Creation of well-defined service areas with Points of Dispensing (POD) facilities for providing medical or other care to the population within these areas is a widely accepted approach. However, not every individual may have equal access to the POD or the resources available at the POD due to various social, behavioral, cultural, and economic or health disparities. Therefore, a realistic and working response plan must provide ways to address these access disparities associated with each POD. The creation of such a response plan is a data intensive problem and requires demographic, spatial, transportation and resource data at different geographic levels. This paper demonstrates the collection of these data from disparate sources and their integration to analyze vulnerabilities in emergency response plans. The variety and volume of the required data and the manipulation process faced challenges of big data.

Keywords: Geographic information systems; Response plans; Bio-emergencies; Geospatial data analysis; Vulnerabilities (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-44711-7_8

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DOI: 10.1007/978-3-319-44711-7_8

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