Heat waves and fatal traffic crashes in the continental United States

Accid Anal Prev. 2018 Oct:119:195-201. doi: 10.1016/j.aap.2018.07.025. Epub 2018 Jul 23.

Abstract

Background: A better understanding of how heat waves affect fatal traffic crashes will be useful to promote awareness of drivers' vulnerability during an extreme heat event.

Objective and methods: We applied a time-stratified case-crossover design to examine associations between heat waves and fatal traffic crashes during May-September of 2001-2011 in the continental United States (US). Heat waves, defined as the daily mean temperature >95% threshold for ≥2 consecutive days, were derived using gridded 12.5 km2 air temperatures from Phase 2 of the North American Land Data Assimilation System (NLDAS-2). Dates and locations of fatal traffic crash records were acquired from the National Highway Traffic Safety Administration (NHTSA).

Results: Results show a significant positive association between fatal traffic crashes and heat waves with a 3.4% (95% CI: 0.9, 5.9%) increase in fatal traffic crashes on heat wave days versus non-heat wave days. The association was more positive for 56-65 years old drivers [8.2% (0.3, 16.7%)] and driving on rural roadways [6.1% (2.8, 9.6%)]. Moreover, a positive association was only present when the heat wave days were characterized by no precipitation [10.9% (7.3%, 14.6%)] and medium or high solar radiation [24.6% (19.9%, 29.5%) and 19.9% (15.6%, 24.4%), respectively].

Conclusions: These findings are relevant for developing targeted interventions for these driver groups and driving situations to efficiently reduce the negative effects of heat waves on fatal traffic crashes.

Keywords: Case-crossover design; Climate change; Fatal traffic crashes; Heat waves; Traffic safety.

MeSH terms

  • Accidents, Traffic / mortality*
  • Adolescent
  • Adult
  • Age Factors
  • Aged
  • Automobile Driving / statistics & numerical data
  • Chi-Square Distribution
  • Female
  • Hot Temperature / adverse effects*
  • Humans
  • Male
  • Middle Aged
  • Risk Factors
  • United States / epidemiology
  • Young Adult