title: Cost of crashes related to road conditions, United States, 2006.
abstract: This is the first study to estimate the cost of crashes related to road conditions in the U.S. To model the probability that road conditions contributed to the involvement of a vehicle in the crash, we used 2000-03 Large Truck Crash Causation Study (LTCCS) data, the only dataset that provides detailed information whether road conditions contributed to crash occurrence. We applied the logistic regression results to a costed national crash dataset in order to calculate the probability that road conditions contributed to the involvement of a vehicle in each crash. In crashes where someone was moderately to seriously injured (AIS-2-6) in a vehicle that harmfully impacted a large tree or medium or large non-breakaway pole, or if the first harmful event was collision with a bridge, we changed the calculated probability of being road-related to 1. We used the state distribution of costs of fatal crashes where road conditions contributed to crash occurrence or severity to estimate the respective state distribution of non-fatal crash costs. The estimated comprehensive cost of traffic crashes where road conditions contributed to crash occurrence or severity was $217.5 billion in 2006. This represented 43.6% of the total comprehensive crash cost. The large share of crash costs related to road design and conditions underlines the importance of these factors in highway safety. Road conditions are largely controllable. Road maintenance and upgrading can prevent crashes and reduce injury severity.
authors.affiliation: Pacific Institute for Research and Evaluation, Calverton, Maryland, USA.
authors.forename: Eduard
authors.initials: E
authors.lastname: Zaloshnja
authors.forename: Ted R
authors.initials: TR
authors.lastname: Miller
mesh_terms: D000063:Accidents, Traffic / Q000191:economics* / Q000401:mortality / Q000706:statistics & numerical data; D000435:Alcoholic Intoxication / Q000453:epidemiology; D001336:Automobiles / Q000191:economics* / Q000706:statistics & numerical data; D004526:Efficiency; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D015233:Models, Statistical; D011336:Probability; D011634:Public Health / Q000191:economics* / Q000706:statistics & numerical data; D011788:Quality of Life; D018570:Risk Assessment; D012622:Seat Belts / Q000191:economics / Q000706:statistics & numerical data; D014481:United States / Q000453:epidemiology