ArticleAccident; analysis and prevention2018
Cycling injury risk in London: A case-control study exploring the impact of cycle volumes, motor vehicle volumes, and road characteristics including speed limits.
Article in Accident; analysis and prevention, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Effectiveness of road safety interventions: An evidence and gap map.Campbell systematic reviews · 2024Article
- Bicycle infrastructure and the incidence rate of crashes with cars: A case-control study with Strava data in Atlanta.Journal of transport & health · 2023Article
- Cycling-related orthopaedic fractures admitted to the Major Trauma Centre in the cycling capital of the UK.Archives of orthopaedic and trauma surgery · 2022Article
- Pedestrian injuries in collisions with pedal cycles in the context of increased active travel: Trends in England, 2005-2015.Journal of transport & health · 2022Article
- Association of Infrastructure and Route Environment Factors with Cycling Injury Risk at Intersection and Non-Intersection Locations: A Case-Crossover Study of Britain.International journal of environmental research and public health · 2021Article
- How does mode of travel affect risks posed to other road users? An analysis of English road fatality data, incorporating gender and road type.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2021Article
- Data-driven strategies for optimal bicycle network growth.Royal Society open science · 2020Article
- Integrated Impact Assessment of Active Travel: Expanding the Scope of the Health Economic Assessment Tool (HEAT) for Walking and Cycling.International journal of environmental research and public health · 2020Article
- Association of injury related hospital admissions with commuting by bicycle in the UK: prospective population based study.BMJ (Clinical research ed.) · 2020Article
- A retrospective international study on factors associated with injury, discomfort and pain perception among cyclists.PloS one · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Cycling injury risk is an important topic, but few studies explore cycling risk in relation to exposure. This is largely because of a lack of exposure data, in other words how much cycling is done at different locations. This paper helps to fill this gap. It reports a case-control study of cycling injuries in London in 2013-2014, using modelled cyclist flow data alongside datasets covering some characteristics of the London route network. A multilevel binary logistic regression model is used to investigate factors associated with injury risk, comparing injury sites with control sites selected using the modelled flow data. Findings provide support for 'safety in numbers': for each increase of a natural logarithmic unit (2.71828) in cycling flows, an 18% decrease in injury odds was found. Conversely, increased motor traffic volume is associated with higher odds of cycling injury, with one logarithmic unit increase associated with a 31% increase in injury odds. Twenty-mile per hour compared with 30mph speed limits were associated with 21% lower injury odds. Residential streets were associated with reduced injury odds, and junctions with substantially higher injury odds. Bus lanes do not affect injury odds once other factors are controlled for. These data suggest that speed limits of 20 mph may reduce cycling injury risk, as may motor traffic reduction. Further, building cycle routes that generate new cycle trips should generate 'safety in numbers' benefits.
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Registered trials
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