Technical Papers
May 20, 2014

Heuristic Approach for Optimizing Emergency Medical Services in Road Safety within Large Urban Networks

Publication: Journal of Transportation Engineering
Volume 140, Issue 9

Abstract

Emergency medical service (EMS) providers participating in vehicle crash-induced incident management aim to offer as wide and efficient coverage as possible to meet the demand for incident responses effectively; however, the design and provision of efficient and cost-effective services are tough issues faced by emergency management authorities. This paper introduces a double standard model (DSM), along with a genetic algorithm (GA) for assigning EMS fleet from vehicle locations to intersection vehicle crash sites such that crash demand sites can be covered in accordance with two service coverage standards. Specifically, all demand sites are required to receive single coverage according to the secondary coverage standard and at least a portion (α) of demand sites need to maintain single coverage as per the primary coverage standard. The proposed model is applied for top 200 intersections in the City of Chicago selected using intersection crash records for 2004–2010 according to crash frequency-based and severity-based scenarios. The top 200 intersections are split into high and low severity sites for model application. Using the EMS vehicle fleet size currently maintained by the Chicago Fire Department as 15 basic life support (BLS) and 60 advanced life support (ALS) ambulances, almost 100% of double vehicle coverage can be achieved. Extended model application is conducted by keeping 15 BLS ambulances unchanged and reducing the 60 ALS ambulances by 50% to 30. Results show that nearly 90% of double coverage according to the primary standard can still be reached.

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Acknowledgments

The authors acknowledge the transportation agencies in the Chicago metropolitan area for data collection, processing, and computational analysis as part of model application.

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 140Issue 9September 2014

History

Received: Aug 5, 2013
Accepted: Mar 3, 2014
Published online: May 20, 2014
Published in print: Sep 1, 2014
Discussion open until: Oct 20, 2014

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Authors

Affiliations

Yi Liu
Graduate Research Assistant, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616.
Arash M. Roshandeh
Postdoctoral Researcher, School of Civil Engineering, Purdue Univ., West Lafayette, IN 47906.
Zongzhi Li, M.ASCE [email protected]
Associate Professor, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616 (corresponding author). E-mail: [email protected]
Konstantinos Kepaptsoglou, M.ASCE
Lecturer, School of Civil Engineering, National Univ. of Athens, GR-15773 Athens, Greece.
Harshingar Patel
Graduate Research Assistant, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616.
Xi Lu
Graduate Research Assistant, Dept. of Civil, Architectural and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616.

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