Literature DB >> 29776521

Temporal factors in motor-vehicle crash deaths: Ten years later.

Rebecca Weast1.   

Abstract

OBJECTIVE: To assess trends in traffic fatalities on several temporal scales: year to year, by month, by day of week, and by time of day, to determine why some times correspond with higher rates of crash deaths, and to assess how these trends relate to age, the role of the deceased, and alcohol consumption.
METHOD: Traffic fatalities were identified using the Fatality Analysis Reporting System (FARS) for 1998 through 2014 and assessed for their time of occurrence. Three days that, on average, contained particularly high numbers of crash deaths were then assessed in greater detail, considering the age of the deceased, role of the deceased (vehicle occupant, bicyclist, motorcyclist, or pedestrian), and the blood alcohol content of either the driver (for passenger vehicle occupants) or the deceased.
RESULTS: Annual crash fatality totals were much lower in 2014 than in 1998, but the decrease was not steady; a marked drop in crash deaths occurred after 2007 and continued until 2014. On average the most fatalities per day occurred in July and August (116 per day), followed closely by June, September, and October. During the week, the greatest number of fatalities on average occur on weekend days, and during the day the most fatalities tend to occur between the hours of 3p.m. and 7p.m. Holidays like Independence Day and New Year's Day show elevated crash fatalities, and a greater percentage of these crashes involved alcohol, when compared with adjacent days.
CONCLUSION: Certain days and times of year stand out as posing an elevated crash risk, and even with the decrease in average daily fatalities over the past decade, these days and times of year have remained consistent. PRACTICAL APPLICATION: These results indicate focused areas for continued efforts to reduce fatal crashes.
Copyright © 2018 National Safety Council and Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Crash fatalities; Temporal patterns

Mesh:

Substances:

Year:  2018        PMID: 29776521     DOI: 10.1016/j.jsr.2018.02.011

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


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  4 in total

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