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Published in: BMC Public Health 1/2022

Open Access 01-12-2022 | Research

Demographics of road injuries and micromobility injuries among China, India, Japan, and the United States population: evidence from an age-period-cohort analysis

Authors: Yudi Zhao, Jinhong Cao, Yudiyang Ma, Sumaira Mubarik, Jianjun Bai, Donghui Yang, Kai Wang, Chuanhua Yu

Published in: BMC Public Health | Issue 1/2022

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Abstract

Background

Micromobility sharing platforms have involved skyrocketing numbers of users in multiple countries since 2010. However, few studies have examined the overall impact of the growing micromobility market on road injuries.

Method

We use road injury data from the Global Burden of Disease Study database to examine the effect of age, period, and cohort on micromobility injury-related deaths and incidence. We compared four countries that vary in demographic background and road infrastructure. By comparing the countries, we analyzed the relationship between the trends in road injuries and these factors.

Results

We found an overall upward trend in micromobility injuries. A higher risk of micromobility-related injuries was witnessed in China and the US in 2015-2019, and people older than 45 showed a growing micromobility-related mortality and incidence rate in China, India, and the US. Cohorts after 1960 showed higher micromobility injury incidence risks in China and India, but the population born after 1990 in India showed a slightly lower risk compared to those before it.

Conclusions

The boosted usage of micromobility devices explains these increasing trends. Road infrastructure and separated traffic ease the collisions from micromobility devices. The overall situation calls for improvement in legislation as well as road infrastructure.
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Literature
13.
go back to reference Trivedi TK, Liu C, Antonio ALM, Wheaton N, Kreger V, Yap A, et al. Injuries associated with standing electric scooter use. JAMA Netw Open. 2019;2(1):e187381.PubMedPubMedCentralCrossRef Trivedi TK, Liu C, Antonio ALM, Wheaton N, Kreger V, Yap A, et al. Injuries associated with standing electric scooter use. JAMA Netw Open. 2019;2(1):e187381.PubMedPubMedCentralCrossRef
18.
go back to reference van Cauwenberg J, de Bourdeaudhuij I, Clarys P, de Geus B, Deforche B. Older E-bike users: demographic, health, mobility characteristics, and cycling levels. Med Sci Sports Exerc. 2018;50(9):1780–9.CrossRef van Cauwenberg J, de Bourdeaudhuij I, Clarys P, de Geus B, Deforche B. Older E-bike users: demographic, health, mobility characteristics, and cycling levels. Med Sci Sports Exerc. 2018;50(9):1780–9.CrossRef
20.
go back to reference Wang L, Yu C, Zhang G, Zhang Y, Luo L. Comparison of secular trends in road injury mortality in China and the United States: an age-period-cohort analysis. Int J Environ Res Public Health. 2018;15(11). Wang L, Yu C, Zhang G, Zhang Y, Luo L. Comparison of secular trends in road injury mortality in China and the United States: an age-period-cohort analysis. Int J Environ Res Public Health. 2018;15(11).
21.
go back to reference Pucher J, Peng ZR, Mittal N, Zhu Y, Korattyswaroopam N. Urban transport trends and policies in China and India: impacts of rapid economic growth. Transp Rev. 2007;27(4):379–410.CrossRef Pucher J, Peng ZR, Mittal N, Zhu Y, Korattyswaroopam N. Urban transport trends and policies in China and India: impacts of rapid economic growth. Transp Rev. 2007;27(4):379–410.CrossRef
23.
go back to reference Hayakawa H, Fischbeck PS, Fischhoff B. Traffic accident statistics and risk perceptions in Japan and the United States. J Risk Res. 2000;3(1):51–67.CrossRef Hayakawa H, Fischbeck PS, Fischhoff B. Traffic accident statistics and risk perceptions in Japan and the United States. J Risk Res. 2000;3(1):51–67.CrossRef
25.
go back to reference Robertson C, Gandini S, Boyle P. Age-period-cohort models: a comparative study of available methodologies. J Clin Epidemiol. 1999;52(6):569–83.PubMedCrossRef Robertson C, Gandini S, Boyle P. Age-period-cohort models: a comparative study of available methodologies. J Clin Epidemiol. 1999;52(6):569–83.PubMedCrossRef
26.
go back to reference Rosenberg PS, Anderson WF. Age-period-cohort models in cancer surveillance research: ready for prime time? Cancer Epidemiol Biomark Prev. 2011;20:1263–8.CrossRef Rosenberg PS, Anderson WF. Age-period-cohort models in cancer surveillance research: ready for prime time? Cancer Epidemiol Biomark Prev. 2011;20:1263–8.CrossRef
27.
go back to reference Dandona R, Kumar GA, Gururaj G, James S, Chakma JK, Thakur JS, et al. Mortality due to road injuries in the states of India: the global burden of disease study 1990-2017. Lancet Public Health. 2020;5(2):e86–98.CrossRef Dandona R, Kumar GA, Gururaj G, James S, Chakma JK, Thakur JS, et al. Mortality due to road injuries in the states of India: the global burden of disease study 1990-2017. Lancet Public Health. 2020;5(2):e86–98.CrossRef
29.
go back to reference Samanta P. Development of rural road infrastructure in India. Pac Bus Rev Int. 2015;7(11):86–93. Samanta P. Development of rural road infrastructure in India. Pac Bus Rev Int. 2015;7(11):86–93.
30.
go back to reference Koike H. Current issues and problems of bicycle transport in Japan. Transp Res Rec. 1991;1294:40–6. Koike H. Current issues and problems of bicycle transport in Japan. Transp Res Rec. 1991;1294:40–6.
31.
go back to reference Mohan D. The road ahead: traffic injuries and fatalities in India; 2004. Mohan D. The road ahead: traffic injuries and fatalities in India; 2004.
32.
go back to reference Naqvi HM, Tiwari G. Factors contributing to motorcycle fatal crashes on National Highways in India. In: Transportation Research Procedia: Elsevier B.V; 2017. p. 2084–97. Naqvi HM, Tiwari G. Factors contributing to motorcycle fatal crashes on National Highways in India. In: Transportation Research Procedia: Elsevier B.V; 2017. p. 2084–97.
34.
go back to reference Ling Z, Cherry CR, MacArthur JH, Weinert JX. Differences of cycling experiences and perceptions between e-bike and bicycle users in the United States? Sustainability (Switzerland). 2017;9(9):1–18. Ling Z, Cherry CR, MacArthur JH, Weinert JX. Differences of cycling experiences and perceptions between e-bike and bicycle users in the United States? Sustainability (Switzerland). 2017;9(9):1–18.
37.
go back to reference Hu L, Hu X, Wang J, Kuang A, Hao W, Lin M. Casualty risk of e-bike rider struck by passenger vehicle using China in-depth accident data. Traffic Injury Prev. 2020;21(4):283–7.CrossRef Hu L, Hu X, Wang J, Kuang A, Hao W, Lin M. Casualty risk of e-bike rider struck by passenger vehicle using China in-depth accident data. Traffic Injury Prev. 2020;21(4):283–7.CrossRef
38.
go back to reference Rathinam C, Nair N, Gupta A, Joshi S, Bansal S. Self-reported motorcycle riding behaviour among school children in India. Accid Anal Prev. 2007;39(2):334–9.PubMedCrossRef Rathinam C, Nair N, Gupta A, Joshi S, Bansal S. Self-reported motorcycle riding behaviour among school children in India. Accid Anal Prev. 2007;39(2):334–9.PubMedCrossRef
40.
go back to reference Ito A, Ohta T, Inoue S. Security system for children on school route. In: Proceedings - 2009 International symposium on autonomous decentralized systems, ISADS 2009; 2009. p. 129–34. Ito A, Ohta T, Inoue S. Security system for children on school route. In: Proceedings - 2009 International symposium on autonomous decentralized systems, ISADS 2009; 2009. p. 129–34.
42.
go back to reference Geeta MG, Krishnakumar P, Gupta A, Kapil U. The new traffic law and reduction of alcohol related fatal crashes in Japan The. Indian Pediatr. 2017;54(8):685–7.PubMedCrossRef Geeta MG, Krishnakumar P, Gupta A, Kapil U. The new traffic law and reduction of alcohol related fatal crashes in Japan The. Indian Pediatr. 2017;54(8):685–7.PubMedCrossRef
43.
go back to reference Feler JR. Shifts In Micromobility-related trauma in The age of vehicle sharing: The epidemiology of head injury; 2020. Feler JR. Shifts In Micromobility-related trauma in The age of vehicle sharing: The epidemiology of head injury; 2020.
44.
go back to reference Dandona R, Kumar GA, Dandona L. Traffic law enforcement in Hyderabad, India. Int J Inj Control Saf Promot. 2005;12(3):167–76.CrossRef Dandona R, Kumar GA, Dandona L. Traffic law enforcement in Hyderabad, India. Int J Inj Control Saf Promot. 2005;12(3):167–76.CrossRef
45.
go back to reference Kalra R, Kumar AA. Pattern and distribution of injuries in fatal road traffic accident cases in district Barabanki of Uttar Pradesh, India. J Adv Med Dent Sci Res. 2019;7(4):48–58 Available from: www.jamdsr.com. Kalra R, Kumar AA. Pattern and distribution of injuries in fatal road traffic accident cases in district Barabanki of Uttar Pradesh, India. J Adv Med Dent Sci Res. 2019;7(4):48–58 Available from: www.​jamdsr.​com.
46.
go back to reference Morris C. Motorcycle trends in the United States. Bureau Transport Stat. 2009;SR-014(May):1–6 Available from: www.bts.gov. Morris C. Motorcycle trends in the United States. Bureau Transport Stat. 2009;SR-014(May):1–6 Available from: www.​bts.​gov.
47.
go back to reference Shi J, Bai Y, Tao L, Atchley P. A model of Beijing drivers’ scrambling behaviors. Accid Anal Prev. 2011;43(4):1540–6.PubMedCrossRef Shi J, Bai Y, Tao L, Atchley P. A model of Beijing drivers’ scrambling behaviors. Accid Anal Prev. 2011;43(4):1540–6.PubMedCrossRef
48.
go back to reference Ministry of Land Infrastructure Transport and Tourism. Traffic Safety. 2017. Ministry of Land Infrastructure Transport and Tourism. Traffic Safety. 2017.
49.
go back to reference Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019. Lancet. 2020;396(10258):1204–22.CrossRef Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the global burden of disease study 2019. Lancet. 2020;396(10258):1204–22.CrossRef
Metadata
Title
Demographics of road injuries and micromobility injuries among China, India, Japan, and the United States population: evidence from an age-period-cohort analysis
Authors
Yudi Zhao
Jinhong Cao
Yudiyang Ma
Sumaira Mubarik
Jianjun Bai
Donghui Yang
Kai Wang
Chuanhua Yu
Publication date
01-12-2022
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-13152-6

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