Cycling safety: Quantifying the under reporting of cycling incidents in Vancouver, British Columbia

Winters, Meghan; Branion-Calles, Michael

doi:10.1016/j.jth.2017.02.010

Cited by 43 publications

(18 citation statements)

References 27 publications

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“…They are also exposed to potentially more serious injuries in collisions due to lack of physical protection and disadvantages of bicycles in mass, speed as well as stability [11,12]. What is even worse, it is well known that crashes involving cyclists are seriously underreported in police, hospital, and insurance claim data [5,13], implying that road safety conditions of cyclists may actually present more threat to public health than it appears.…”

Section: Cycling: Risks Outweighs Benefitsmentioning

confidence: 99%

Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Zheng

et al. 2019

IJERPH

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In recent years, the increasing rate of road crashes involving cyclists with a disproportionate overrepresentation in injury statistics has become a major concern in road safety and public health. However, much remains unknown about factors contributing to cyclists’ high crash rates, especially those related to personal characteristics. This study aims to explore the influence of cyclist personality traits and cycling behaviors on their road safety outcomes using a mediated model combining these constructs. A total of 628 cyclists completed an online questionnaire consisting of questions related to cycling anger, impulsiveness, normlessness, sensation seeking, risky cycling behaviors, and involvement in crash-related conditions in the past year. After the psychometric properties of the employed scales were examined, the relationships among the tested constructs were investigated using structural equation modeling. The results showed that cyclists’ crash risks were directly predicted by risky cycling behaviors and cycling anger, and the effects of cycling anger, impulsiveness, as well as normlessness on crash risks, were mediated by cycling behaviors. The current findings provide insight into the importance of personality traits in impacting cycling safety and could facilitate the development of evidence-based prevention and promotion strategies targeting cyclists in China.

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Section: Cycling: Risks Outweighs Benefitsmentioning

confidence: 99%

Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Zheng

et al. 2019

IJERPH

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“…Police reports typically over-represent bicycle crashes that involve motor vehicles. 45 57 Past analyses show that both insurance and police reports only capture a small proportion of bicycling crashes that occur and that these are the crashes that result in more severe injuries. 45 57 58 Given there is not a single complete source of bicycle safety incident data, we will also gather incident data through the survey and draw on citizen-science data collection efforts through BikeMaps.org.…”

Section: Methods and Analysismentioning

confidence: 99%

Impacts of Bicycle Infrastructure in Mid-Sized Cities (IBIMS): protocol for a natural experiment study in three Canadian cities

et al. 2018

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IntroductionBicycling is promoted as a transportation and population health strategy globally. Yet bicycling has low uptake in North America (1%–2% of trips) compared with European bicycling cities (15%–40% of trips) and shows marked sex and age trends. Safety concerns due to collisions with motor vehicles are primary barriers.To attract the broader population to bicycling, many cities are making investments in bicycle infrastructure. These interventions hold promise for improving population health given the potential for increased physical activity and improved safety, but such outcomes have been largely unstudied. In 2016, the City of Victoria, Canada, committed to build a connected network of infrastructure that separates bicycles from motor vehicles, designed to attract people of ‘all ages and abilities’ to bicycling.This natural experiment study examines the impacts of the City of Victoria’s investment in a bicycle network on active travel and safety outcomes. The specific objectives are to (1) estimate changes in active travel, perceived safety and bicycle safety incidents; (2) analyse spatial inequities in access to bicycle infrastructure and safety incidents; and (3) assess health-related economic benefits.Methods and analysisThe study is in three Canadian cities (intervention: Victoria; comparison: Kelowna, Halifax). We will administer population-based surveys in 2016, 2018 and 2021 (1000 people/city). The primary outcome is the proportion of people reporting bicycling. Secondary outcomes are perceived safety and bicycle safety incidents. Spatial analyses will compare the distribution of bicycle infrastructure and bicycle safety incidents across neighbourhoods and across time. We will also calculate the economic benefits of bicycling using WHO’s Health Economic Assessment Tool.Ethics and disseminationThis study received approval from the Simon Fraser University Office of Research Ethics (study no. 2016s0401). Findings will be disseminated via a website, presentations to stakeholders, at academic conferences and through peer-reviewed journal articles.

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“…We assume that the cases, bicycle crashes reported specifically by police, are accurately classified and are not under-reported. 40 The study was approved by the Emory University Institutional Review Board (IRB00105514). All or a portion of included data was licensed by Strava.…”

Section: Examplementioning

confidence: 99%

At-risk-measure Sampling in Case–Control Studies with Aggregated Data

et al. 2020

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Cycling safety: Quantifying the under reporting of cycling incidents in Vancouver, British Columbia

Cited by 43 publications

References 27 publications

Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Personality and Behavioral Predictors of Cyclist Involvement in Crash-Related Conditions

Impacts of Bicycle Infrastructure in Mid-Sized Cities (IBIMS): protocol for a natural experiment study in three Canadian cities

At-risk-measure Sampling in Case–Control Studies with Aggregated Data

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