Data-driven reduction targets for a highway safety plan

A safety plan or policy should have traffic safety targets. Setting the targets is challenging but is possible through data-driven approach. This paper describes a study that forecast fatalities and injuries under three scenarios, examined the probabilities of meeting different reduction targets, an...

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Bibliographic Details
Published inTransport policy Vol. 17; no. 4; pp. 230 - 239
Main Author Kweon, Young-Jun
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2010
Elsevier
SeriesTransport Policy
Subjects
Forecasting
Reduction targets
Safety plan
Traffic safety
Traffic safety Safety plan Reduction targets Forecasting
USA, Virginia
Reduction targets
Forecasting
Safety plan
Traffic safety
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Summary:A safety plan or policy should have traffic safety targets. Setting the targets is challenging but is possible through data-driven approach. This paper describes a study that forecast fatalities and injuries under three scenarios, examined the probabilities of meeting different reduction targets, and proposed realistic targets for Virginia’s safety plan. The study combined statistical forecasting approach, inputs from safety experts, and reported effects of safety improvement measures to come up with ambitious yet achievable targets. Realistic targets for the safety plan in Virginia by 2010 are a 10% reduction in fatalities and a 5% reduction in injuries. These targets assume enactment of a primary safety belt law and deployment of crash countermeasures comparable to 20–30% engineering treatments.
Bibliography:ObjectType-Article-1
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ISSN:0967-070X
1879-310X
DOI:10.1016/j.tranpol.2009.12.004