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The impact of COVID-19 restrictions on motorcycle crashes in Taiwan

  • Wing Hin Stanford Siu
  • , Wei Sheng Peng
  • , Wei Min Chen
  • , Lai Chu See*
  • *此作品的通信作者
  • Chang Gung University
  • Chang Gung Memorial Hospital

研究成果: 期刊稿件文章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Taiwan is one of the countries with the highest motorcycle per capita globally, and motorcycle crashes are predominant among traffic crashes. This study examines the impact of coronavirus disease 2019 restrictions on motorcycle crashes. We analyzed the trend of motorcycle crashes in Taipei City from 2019 to 2020 using the dataset provided by the Department of Transportation, Taipei City Government, Taiwan. We found 47,108 and 51,441 motorcycle crashes in 2019 and 2020, involving 61,141 and 67,093 motorcycles, respectively. Mopeds had the highest risk in 2020, followed by heavy motorcycles [≥550 cubic capacity (cc)] and scooters compared to 2019. Food delivery motorcycle crashes increased for scooters (0.93% in 2019 to 3.45% in 2020, P < .0001) and heavy motorcycles (250 < cc < 550) (0.90% in 2019 to 3.38% in 2020, P < .0001). While fatalities remained under 1%, 30% to 51% of motorcyclists sustained injuries. Food delivery with scooters or heavy motorcycles (250 < cc < 550) was significantly associated with motorcyclist injuries and deaths. Compared with 2019, the adjusted odds ratios of motorcyclist injuries and deaths in 2020 were 1.43 (95% confidence interval = 1.05-1.94) for heavy motorcycles (≥550 cc) and 1.07 (95% confidence interval = 1.04-1.09) for scooters. This study shows that coronavirus disease 2019 restrictions was associated with elevated risks of crashes, injuries, and deaths among motorcyclists, reflecting the general preference for private transport over public transport. The popularity of food delivery services also contributed to increased motorcycle crashes.

原文英語
頁(從 - 到)E37901
期刊Medicine (United States)
103
發行號16
DOIs
出版狀態已出版 - 19 04 2024

文獻附註

Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG3 健康與福祉
    SDG3 健康與福祉
  2. SDG11 永續城市
    SDG11 永續城市

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