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Association between High Ambient Temperatures and Road Crashes in an Australian City with Temperate Climate: A Time-Series Study, 2012–2021

Author

Listed:
  • Yannan Li

    (School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia)

  • Blesson Mathew Varghese

    (School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia)

  • Jingwen Liu

    (School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia)

  • Peng Bi

    (School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia)

  • Michael Tong

    (School of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia
    National Centre for Epidemiology and Population Health, ANU College of Health and Medicine, The Australian National University, Canberra, ACT 2601, Australia)

Abstract

(1) Background: High ambient temperatures are associated with increased morbidity and mortality rates, and some evidence suggests that high temperatures increase the risk of road crashes. However, little is known regarding the burden of road crashes attributable to no-optimal high temperatures in Australia. Therefore, this study examined the effects of high temperatures on road crashes using Adelaide in South Australia as a case study. (2) Methods: Ten-year daily time-series data on road crashes (n = 64,597) and weather during the warm season (October–March) were obtained between 2012 and 2021. A quasi-Poisson distributed lag nonlinear model (DLNM) was used to quantify the cumulative effect of high temperatures over the previous five days. The associations and attributable burden at moderate and extreme temperature ranges were computed as relative risk (RR) and attributable fraction. (3) Results: There was a J-shaped association between high ambient temperature and the risk of road crashes during the warm season in Adelaide, and pronounced effects were observed for minimum temperatures. The highest risk was observed at a 1 day lag and lasting for 5 days. High temperatures were responsible for 0.79% (95% CI: 0.15–1.33%) of road crashes, with moderately high temperatures accounting for most of the burden compared with extreme temperatures (0.55% vs. 0.32%). (4) Conclusions: In the face of a warming climate, the finding draws the attention of road transport, policy, and public health planners to design preventive plans to reduce the risk of road crashes attributable to high temperatures.

Suggested Citation

  • Yannan Li & Blesson Mathew Varghese & Jingwen Liu & Peng Bi & Michael Tong, 2023. "Association between High Ambient Temperatures and Road Crashes in an Australian City with Temperate Climate: A Time-Series Study, 2012–2021," IJERPH, MDPI, vol. 20(11), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:11:p:6000-:d:1159590
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    References listed on IDEAS

    as
    1. Gasparrini, Antonio, 2011. "Distributed Lag Linear and Non-Linear Models in R: The Package dlnm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i08).
    2. Guozhong Zheng & Ke Li & Yajing Wang, 2019. "The Effects of High-Temperature Weather on Human Sleep Quality and Appetite," IJERPH, MDPI, vol. 16(2), pages 1-13, January.
    Full references (including those not matched with items on IDEAS)

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