Investigating the rates and impacts of near misses and related incidents among UK cyclists

The paper investigates the occurrence of non-injury incidents among cyclists in the UK, seeking to (i) generate a rate that can be compared with injury rates, (ii) analyse factors affecting incident rates, and (iii) analyse factors affecting the impact of incidents on cyclists. We collected data on non-injury cycling ‘incidents’ (near misses and other frightening and/or annoying incidents) from 1692 online diaries of cycle trip stages1 and incidents, participants having signed up in advance for a specific day. Following data cleaning and coding, a dataset was created covering 1532 diary days and 3994 records of incidents occurring within the UK. Incident rates were calculated and compared to injury risks for cyclists. Cross-tabulation and regression were used to identify factors affecting incident rates and the effect an incident has on the cyclist. Frightening or annoying non-injury incidents, unlike slight injuries, are an everyday experience for most people cycling in the UK. For regular cyclists ‘very scary’ incidents (rated as 3 on a 0–3 scale) are on average a weekly experience, with deliberate aggression experienced monthly. Per mile, non-injury incidents were more frequent for people making shorter and slower trips. People aged over 55 were at lower risk, as were those cycling at the weekend and outside the morning peak. Incidents that involved motor vehicles, especially those involving larger vehicles, were more frightening than those that did not. Near miss and other non-injury incidents are widespread in the UK and may have a substantial impact on cycling experience and uptake. Policy and research should initially target the most frightening types of incident, such as very close passes and incidents involving large vehicles. Further attention needs to be paid to the experiences of groups under-represented among cyclists, such as women making shorter trips.

[1]  Sean Burns,et al.  Is the three-foot bicycle passing law working in Baltimore, Maryland? , 2012, Accident; analysis and prevention.

[2]  Mark Hamer,et al.  Risk factors for cycling accident related injury: The UK Cycling for Health Survey , 2015 .

[3]  M. Raschke,et al.  Bicycle accidents - do we only see the tip of the iceberg? A prospective multi-centre study in a large German city combining medical and police data. , 2012, Injury.

[4]  H. Nijland,et al.  Do the Health Benefits of Cycling Outweigh the Risks? , 2010, Environmental health perspectives.

[5]  H. Nijland,et al.  Do the Health Benefits of Cycling Outweigh the Risks? , 2010, Environmental health perspectives.

[6]  Ian Walker,et al.  Drivers overtaking bicyclists: objective data on the effects of riding position, helmet use, vehicle type and apparent gender. , 2007, Accident; analysis and prevention.

[7]  Caroline Mullen,et al.  Policies for promoting walking and cycling in England: A view from the street , 2013 .

[8]  P. Jacobsen Safety in numbers: more walkers and bicyclists, safer walking and bicycling , 2003, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[9]  Shanthi Ameratunga,et al.  Completeness and accuracy of crash outcome data in a cohort of cyclists: a validation study , 2013, BMC Public Health.

[10]  Rachel Aldred,et al.  Incompetent or Too Competent? Negotiating Everyday Cycling Identities in a Motor Dominated Society , 2013 .

[11]  Rachel Aldred,et al.  Constructing Mobile Places between ‘Leisure’ and ‘Transport’: A Case Study of Two Group Cycle Rides , 2012 .

[12]  Mark Stevenson,et al.  Reconsidering the Safety in Numbers Effect for Vulnerable Road Users: An Application of Agent-Based Modeling , 2015, Traffic injury prevention.

[13]  Romain Meeusen,et al.  Utilitarian cycling in Belgium: a cross-sectional study in a sample of regular cyclists. , 2014, Journal of physical activity & health.

[14]  Chris Rissel,et al.  Perspectives and images of cycling as a barrier or facilitator of cycling , 2011 .

[15]  O. Franco,et al.  Public health benefits of strategies to reduce greenhouse-gas emissions: urban land transport , 2009, The Lancet.

[16]  Mary Sissons Joshi,et al.  A diary study of the risk perceptions of road users , 2001 .

[17]  Rachel Aldred,et al.  Governing transport from welfare state to hollow state: The case of cycling in the UK , 2012 .

[18]  Per Ole Wanvik,et al.  A new method for assessing the risk of accident associated with darkness. , 2009, Accident; analysis and prevention.

[19]  Ian Walker,et al.  The influence of a bicycle commuter's appearance on drivers' overtaking proximities: an on-road test of bicyclist stereotypes, high-visibility clothing and safety aids in the United Kingdom. , 2014, Accident; analysis and prevention.

[20]  Malcolm Wardlaw,et al.  History, risk, infrastructure: perspectives on bicycling in the Netherlands and the UK , 2014 .

[21]  Dave Horton,et al.  Fear of Cycling , 2016 .

[22]  Rebecca L. Sanders,et al.  Perceived traffic risk for cyclists: the impact of near miss and collision experiences. , 2015, Accident; analysis and prevention.

[23]  Malcolm Wardlaw,et al.  Exposure-Based, ‘Like-for-Like’ Assessment of Road Safety by Travel Mode Using Routine Health Data , 2012, PloS one.

[24]  Shaun Helman,et al.  Road Sharing: Does It Matter What Road Users Think Of Each Other? , 2011 .

[25]  Ralph Buehler,et al.  Making Cycling Irresistible: Lessons from The Netherlands, Denmark and Germany , 2008 .