Abstract

This study aims to explore the role of built environments affecting emergency medical services (EMS) responses to traffic crashes. Specifically, this study integrated socioeconomic databases with a crash database that contains the EMS response information. Given the multilevel data structure, a hierarchical model was developed to connect EMS response times to the built environment and other associated factors at various hierarchies. The model results revealed that the built environment plays a vital role in EMS performance in terms of response times. For example, EMS response times differ significantly between rural and urban areas. If other factors are held constant, the EMS response time for a rural crash is 25.13% more likely to be longer than 10 min than for an urban crash. Other factors such as land use, area, development, roadway class, road lighting, weather, and EMS facility distance are also significantly related to EMS response times. This study offers insights into improving EMS responses to traffic crashes by considering the role of built environments. More implications are discussed in the paper.

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Data Availability Statement

Some or all data, models, or code used during the study were provided by a third party. Direct request for these materials may be made to the provider as indicated in the Acknowledgments.

Acknowledgments

The authors would like to thank the Alabama Department of Transportation and the University of Alabama’s Center for Advanced Public Safety for sharing the crash data. The American Community Survey data were downloaded from www.census.gov. The authors appreciate the funding support from the Department of Civil, Construction and Environmental Engineering, Center for Transportation Operations, Safety, and Planning, and Alabama Transportation Institute at the University of Alabama. The views expressed in this paper are those of the authors, who are responsible for the facts and accuracy of information presented herein.

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 10October 2022

History

Received: Dec 13, 2021
Accepted: May 12, 2022
Published online: Aug 9, 2022
Published in print: Oct 1, 2022
Discussion open until: Jan 9, 2023

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Doctoral Student, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, 248 Kirkbride Ln., 3013 Cyber Hall, Tuscaloosa, AL 35401. ORCID: https://orcid.org/0000-0002-7452-7847. Email: [email protected]
Postdoctoral Researcher Associate, Alabama Transportation Institute, Univ. of Alabama, 248 Kirkbride Ln., 3013 Cyber Hall, Tuscaloosa, AL 35401. ORCID: https://orcid.org/0000-0002-5940-5569. Email: [email protected]
Postdoctoral Research Scholar, Center for Urban Transportation Research, Univ. of South Florida, 3808 USF Alumni Dr., Tampa, FL 33620. ORCID: https://orcid.org/0000-0003-3425-743X. Email: [email protected]
Assistant Professor, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, 248 Kirkbride Ln., 3016 Cyber Hall, Tuscaloosa, AL 35401 (corresponding author). ORCID: https://orcid.org/0000-0002-6336-4931. Email: [email protected]
Shashi Nambisan [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Nevada, 4505 S. Maryland Pkwy., Las Vegas, NV 89154. Email: [email protected]
Steven Jones [email protected]
James R. Cudworth Professor, Dept. of Civil, Construction and Environmental Engineering, Univ. of Alabama, 248 Kirkbride Ln., 3024 Cyber Hall, Tuscaloosa, AL 35401. Email: [email protected]

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