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Fail to Yield? An Analysis of Ambulance Crashes in Taiwan

Author

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  • Rong-Chang Jou

    (Department of Civil Engineering, College of Science and Technology, National Chi Nan University, Nantou 545301, Taiwan)

  • Ming-Che Chao

    (Department of Physical Therapy, Asia University, Taichung 413305, Taiwan
    Department of Physical Medicine and Rehabilitation, Cheng-Ching Hospital, Taichung 407211, Taiwan)

Abstract

Introduction—Medical emergency vehicles help patients get to the hospital quickly. However, there were more and more ambulance crashes on the road in Taiwan during the last decade. This study investigated the characteristics of medical emergency vehicle crashes in Taiwan from January 2003 to December 2016. Methods—The ordered logit (OL) model, multinominal logit (MNL) model, and partial proportional odds (PPO) model were applied to investigate the relationship between the severity of ambulance crash injuries and its risk factors. Results—We found the various factors have different effects on the overall severity of ambulance crashes, such as ambulance drivers’ characteristics and road and weather conditions. When another car was involved in ambulance crashes, there was a disproportionate effect on the different overall severity, as found by the PPO model. Conclusions—The results showed that male ambulance drivers and car drivers who failed to yield to an ambulance had a higher risk of severe injury from ambulance crashes. Ambulance crashes are an emerging issue and need further policies and public education regarding Taiwan’s ambulance transportation safety.

Suggested Citation

  • Rong-Chang Jou & Ming-Che Chao, 2021. "Fail to Yield? An Analysis of Ambulance Crashes in Taiwan," Sustainability, MDPI, vol. 13(3), pages 1-12, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1566-:d:491768
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    References listed on IDEAS

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    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
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