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

Prati, Gabriele; Fraboni, Federico

doi:10.1080/01441647.2017.1314391

Cited by 73 publications

(43 citation statements)

References 98 publications

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“…Second, due to the time cost and financial and human consumption, the infrastructure characteristics were not collected in this study. As pointed out by a systematic review [20], the most important factor related to bicyclemotorized vehicle collisions was infrastructure characteristics. As e-bikes and bicycles share some similar features, these characteristics maybe also contribute to e-bike collisions.…”

Section: Discussionmentioning

confidence: 99%

“…It was also found that most e-bikers who were involved in collisions were middle-aged and male. Although there are several systematic reviews on factors contributing to bicycle collisions [19][20][21], few research was focused on contributing factors to e-bikes collisions. The only study was conducted by Hu et al [22] who found that age, road user 2 Journal of Advanced Transportation category, traffic rule violations, crash mode, impact type, and vehicle type were related to the severity of e-bike injuries.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Factors Affecting E-Bike Involved Crash and E-Bike License Plate Use in China Using a Bivariate Probit Model

Guo

Zhou

et al. 2017

Journal of Advanced Transportation

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The primary objective of this study is to evaluate factors affecting e-bike involved crash and license plate use in China. E-bike crashes data were collected from police database and completed through a telephone interview. Noncrash samples were collected by a questionnaire survey. A bivariate probit (BP) model was developed to simultaneously examine the significant factors associated with e-bike involved crash and e-bike license plate and to account for the correlations between them. Marginal effects for contributory factors were calculated to quantify their impacts on the outcomes. The results show that several contributory factors, including gender, age, education level, driver license, car in household, experiences in using e-bike, law compliance, and aggressive driving behaviors, are found to have significant impacts on both e-bike involved crash and license plate use. Moreover, type of e-bike, frequency of using e-bike, impulse behavior, degree of riding experience, and risk perception scale are found to be associated with e-bike involved crash. It is also found that e-bike involved crash and e-bike license plate use are strongly correlated and are negative in direction. The result enhanced our comprehension of the factors related to e-bike involved crash and e-bike license plate use.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of Factors Affecting E-Bike Involved Crash and E-Bike License Plate Use in China Using a Bivariate Probit Model

Guo

Zhou

et al. 2017

Journal of Advanced Transportation

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“…The popular research trend today involves exploring the safety of bicycle (and at the same time PMV) routes [43][44][45]. Many researchers have put efforts into establishing methods to explicitly address bicycle safety by reflecting urban conditions, and have found that many factors influence safety, including the traffic volume, lane width, population density, highway classification, presence of vertical grades, one-way streets, and truck routes [21].…”

Section: Pmvs and Road Safetymentioning

confidence: 99%

Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities

Zagorskas

Burinskienė

2019

Sustainability

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Increased use of e-powered personal mobility vehicles is usually considered to be a positive change, while it is generally agreed that Personal Mobility Vehicles (PMVs) effectively and efficiently reduce the negative environmental impacts of transport and improve quality of life. There has been great technological progress made by all sectors in the field of personal mobility during the last decade. The use of PMVs for micro-mobility have been welcomed by the market, consumers, and governments and thus they are becoming increasingly popular in modern European society. New technology-driven PMVs provide opportunities to their users, but at the same time create problems with street space sharing, road safety, and traffic offenses. This study gives an overview of recent types of PMVs, offers some insights into upcoming changes and challenges, and raises a discussion on themes related to the increased use of e-powered personal transporters.

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“…However, cyclists are considered minority road users for several reasons and cycling is linked to safety concerns (Heinen, van Wee, & Maat, 2010;Schepers, Hagenzieker, Methorst, van Wee, & Wegman, 2014). To this end, safety considerations contribute to raising barriers to cycling and its promotion (Jacobsen & Rutter, 2012) and researchers have begun to focus their attention on cyclists' accidents and their contributory factors (Prati et al, 2018). Research suggests that men and women differ in terms of risky behaviour and involvement in accidents, including road crashes (Al-Balbissi, 2003;Cordellieri et al, 2016;Factor, Mahalel, & Yair, 2008;Massie, Campbell, & Williams, 1995;Pulido et al, 2016;Rhodes & Pivik, 2011;Santamariña-Rubio, P erez, Olabarria, & Novoa, 2014;Tom & Granie, 2011;Williams & Shabanova, 2003).…”

Section: Introductionmentioning

confidence: 99%

Gender differences in cyclists’ crashes: an analysis of routinely recorded crash data

Prati

Fraboni

Angelis

et al. 2019

International Journal of Injury Control and Safety Promotion

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Previous research on gender differences in road crashes has focussed uniquely on car drivers and there has been little research examining such differences among cyclists. In this study, we investigated gender differences in bicycle crashes, using routinely recorded crash data. The present paper focussed on characteristics related to the type of crashes (type of collision and opponent vehicle), the infrastructure (road type and type of road segment), the environmental (season, road surface condition and weather) and time period (time of the day and day of the week). Results revealed that, compared to women cyclists, men cyclists were more likely to be involved in a crash regardless the cyclists' age. Moreover, we found gender differences in terms of type of road segment, type of opponent vehicle, type of manoeuvre of the opponent vehicle and of the cyclists, type of collision, time of the day, day of the week and season.

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

Abstract: Without prejudice to other rights expressly allowed by the copyright holders, this publication can be read, saved and printed for research, teaching and private study. Any other noncommercial and commercial uses are forbidden without the written permission of the copyright holders.

Cited by 73 publications

References 98 publications

Evaluation of Factors Affecting E-Bike Involved Crash and E-Bike License Plate Use in China Using a Bivariate Probit Model

Evaluation of Factors Affecting E-Bike Involved Crash and E-Bike License Plate Use in China Using a Bivariate Probit Model

Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities

Gender differences in cyclists’ crashes: an analysis of routinely recorded crash data

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