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Factors contributing to bicycle–motorised vehicle collisions: a systematic literature review

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  • Gabriele Prati
  • Víctor Marín Puchades
  • Marco De Angelis
  • Federico Fraboni
  • Luca Pietrantoni

Abstract

Bicycle–motorised vehicle (BMV) collisions account for the majority of the recorded bicyclists’ fatalities and serious injuries. This systematic review intends to examine the main factors contributing to BMV collisions. We performed a comprehensive literature review on Scopus, TRID, ProQuest, and Web of Science databases. Fifty-nine English-language peer-reviewed articles met the eligibility criteria and were included in the final analysis. The main factors contributing to BMV collisions identified were classified in accordance with a recently published conceptual framework for road safety. The majority of studies have identified factors related to road users’ behaviour (59.3%) and infrastructure characteristics (57.6%). A minority of studies identified variables related to exposure (40.7%) and vehicles (15.3%) as contributor factors to BMV collisions. A small but significant proportion of studies (20.3%) provided evidence that environmental factors may also play a role, although to a lesser extent, in determining BMV collisions. In addition to the three factors comprised in the applied conceptual framework for road safety, we identified environmental conditions as a category of factors contributing to BMV collisions.

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  • Gabriele Prati & Víctor Marín Puchades & Marco De Angelis & Federico Fraboni & Luca Pietrantoni, 2018. "Factors contributing to bicycle–motorised vehicle collisions: a systematic literature review," Transport Reviews, Taylor & Francis Journals, vol. 38(2), pages 184-208, March.
    • Handle: RePEc:taf:transr:v:38:y:2018:i:2:p:184-208
    DOI: 10.1080/01441647.2017.1314391
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    Cited by:

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    5. Guadalupe González-Sánchez & María Isabel Olmo-Sánchez & Elvira Maeso-González & Mario Gutiérrez-Bedmar & Antonio García-Rodríguez, 2021. "Needs for International Benchmarking of Road Safety Management Based on Mobility Exposure Measures and Risk Patterns," IJERPH, MDPI, vol. 18(23), pages 1-13, December.
    6. Hwachyi Wang & S. K. Jason Chang & Hans De Backer & Dirk Lauwers & Philippe De Maeyer, 2019. "Integrating Spatial and Temporal Approaches for Explaining Bicycle Crashes in High-Risk Areas in Antwerp (Belgium)," Sustainability, MDPI, vol. 11(13), pages 1-28, July.
    7. Qingzhou Wang & Jiarong Sun & Nannan Wang & Yu Wang & Yang Song & Xia Li, 2022. "Exploring the Influencing Factors and Formation of the Blind Zone of a Semitrailer Truck in a Right-Turn Collision," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    8. Shin, Eun Jin, 2023. "Decomposing neighborhood disparities in bicycle crashes: A Gelbach decomposition analysis," Transport Policy, Elsevier, vol. 131(C), pages 156-172.
    9. Li, Xiaomeng & Pooyan Afghari, Amir & Oviedo-Trespalacios, Oscar & Kaye, Sherrie-Anne & Haworth, Narelle, 2023. "Cyclists perception and self-reported behaviour towards interacting with fully automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).

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