The potential impact of rural mayday systems on vehicular crash fatalities

Evanco, William M.

Affiliations

¹Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104-2875, USA

Abstract and keywords

Rural mayday systems can reduce the time between the occurrence of an accident and the notification of emergency medical services—called the accident notification time. Reductions in this time, in turn, may affect the numbers of fatalities. A statistical analysis is used to estimate the quantitative relationship between fatalities and the accident notification time. The elasticity of rural fatalities with respect to the accident notification time was found to be 0.14. If a rural mayday system were fully implemented (i.e. a 100% market penetration) and the service availability were 100%, then we would expect monetary benefits of about $1.83 billion per year and comprehensive benefits (which includes the monetary value attached to the lost quality of life) of $6.37 billion per year.

Keywords: Rural mayday systems; Emergency medical service (EMS) provision; Intelligent Transportation System (ITS)

Links

DOI: 10.1016/S0001-4575(98)00083-9

PubMed: 10440542

WoS: 000081614800003

History

Received: 1997-10-23

Revised: 1998-11-07

Cited Works (1)

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Cited By (12)

Year	Entry
2004	Bahouth GT, Digges KH, Bedewi NE, Kuznetsov A, Augenstein JS, Perdeck E. Development of URGENCY 2.1 for the prediction of crash injury severity. Top Emerg Med. April–June 2004;26(2):157-165.
2011	Bose D, Crandall JR, McGwin G, Goldman J, Foster J, Fine PR. Computational methodology to predict injury risk for motor vehicle crash victims: a framework for improving Advanced Automatic Crash Notification systems. Transport Res Pt C-Emerg Technol. December 2011;19(6):1048-1059.
2003	Augenstein J, Perdeck E, Stratton J, Digges K, Bahouth G. Characteristics of crashes that increase the risk of serious injuries. In: 47th Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). September 22-24, 2003; Lisbon, Portugal.561-576.
2008	Lahausse JA, Fildes BN, Page Y, Fitzharris MP. The potential for automatic crash notification systems to reduce road fatalities. In: 52nd Annual Proceedings, Association for the Advancement of Automotive Medicine (AAAM). October 6-8, 2008; San Diego, CA.85-92.
2003	Augenstein J, Perdeck E, Stratton J, Digges K, Bahouth G, Borchers N, Baur P. Methodology for the development and validation of injury predicting algorithms. In: Proceedings of the 18th International Technical Conference on the Enhanced Safety of Vehicles (ESV). May 19-22, 2003; Nagoya, Japan.
2005	Champion HR, Augenstein JS, Blatt AJ, Cushing B, Digges KH, Flanigan MC, Hunt RC, Lombardo LV, Siegel JH. New tools to reduce deaths and disabilities by improving emergency care: urgency software, occult injury warnings, and air medical services database. In: Proceedings of the 19th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 6-9, 2005; Washington, DC.
2005	Augenstein J, Perdeck E, Bahouth GT, Digges KH, Borchers N, Baur P. Injury identification: priorities for data transmitted. In: Proceedings of the 19th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 6-9, 2005; Washington, DC.
2007	Augenstein J, Digges K, Perdeck E, Stratton J, Bahouth G, Baur P, Messner G. Application of ACN data to improve vehicle safety and occupant care. In: Proceedings of the 20th International Technical Conference on the Enhanced Safety of Vehicles (ESV). June 18-21, 2007; Lyon, France.
2013	Jeong E, Oh C, Lee J. Development of methodology for estimating safety benefits of automatic crash notification systems. In: Proceedings of the 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV). May 27-30, 2013; Seoul, South Korea.
2017	Piantini S, Mangini M, Baldanzini N, Pierini M, Franci A, Peris A. Prediction of motorcyclist serious injury in powered two‐wheeler to other vehicle urban crash. In: Proceedings of the 2017 International IRCOBI Conference on the Biomechanics of Injury. September 13-15, 2017; Antwerp, Belgium.54-62.
2002	Clark DE, Cushing BM. Predicted effect of automatic crash notification on traffic mortality. Accid Anal Prev. July 2002;34(4):507-513.
2005	Nirula R, Talmor D, Brasel K. Predicting significant torso trauma. J Trauma. July 2005;59(1):132-135.