Attention and expectation problems in bicycle–car collisions: an in-depth study

Räsänen, Mikko; Summala, Heikki

doi:10.1016/s0001-4575(98)00007-4

Cited by 213 publications

(111 citation statements)

References 14 publications

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“…The results of this study support earlier research showing that a very large proportion of multi-vehicle bicycle (Räsänen and Summala, 1998) and motorcycle crashes involve right-ofway violations by other vehicles (ACEM, 2008;Comelli et al, 2008;Hurt et al, 1981;Johnston et al, 2008;Wells et al, 2004). Many of these crashes fall into the category of 'looked but failed to see' (LBFTS) or 'sorry mate I didn't see you' (SMIDSY) crashes (Broughton and Walker, 2009;Brown, 2005).…”

Section: Discussionsupporting

confidence: 91%

“…The analyses revealed general similarities in the road characteristics and crash types, with intersection from adjacent approaches being the most common crash type for both bicycles and motorcycles. Consistent with earlier research (ACEM, 2008;Comelli et al, 2008;Haque et al, 2009;Hurt et al, 1981;Johnston et al, 2008;Räsänen and Summala, 1998;Wells et al, 2004), drivers of other vehicles were coded most at fault in the majority of bicycle (57.0%) and motorcycle crashes (62.7%). This implies that two-wheeler safety improvement treatments need to focus not only on riders but also on drivers.…”

Section: Discussionsupporting

confidence: 81%

See 1 more Smart Citation

How similar are two-unit bicycle and motorcycle crashes?

Haworth¹,

Debnath²

2013

Accident Analysis & Prevention

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This paper explores the similarities and differences between bicycle and motorcycle crashes with other motor vehicles. If similar treatments can be effective for both bicycle and motorcycle crashes, then greater benefits in terms crash costs saved may be possible for the same investment in treatments. To reduce the biases associated with under-reporting of these crashes to police, property damage and minor injury crashes were excluded. The most common crash type for both bicycles (31.1%) and motorcycles (24.5%) was intersection from adjacent approaches. Drivers of other vehicles were coded most at fault in the majority of two-unit bicycle (57.0%) and motorcycle crashes (62.7%). The crash types, patterns of fault and factors affecting fault were generally similar for bicycle and motorcycle crashes. This confirms the need to combat the factors contributing to failure of other drivers to yield right of way to two-wheelers, and suggest that some of these actions should prove beneficial to the safety of both motorized and non-motorized two-wheelers. In contrast, child bicyclists were more often at fault, particularly in crashes involving a vehicle leaving the driveway or footpath. The greater reporting of violations by riders and drivers in motorcycle crashes also deserves further investigation.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 81%

How similar are two-unit bicycle and motorcycle crashes?

Haworth¹,

Debnath²

2013

Accident Analysis & Prevention

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show abstract

“…Previous research suggests drivers primarily expect only to see other vehicles in the road and this assumption reduces driver attention and awareness of vulnerable road users when undertaking visual searches at junctions (Räsänen and Summala 1998;Herslund and Jorgensen 2003). On the whole most drivers, especially less experienced drivers, participating in the study did not expect to see horses, even on rural roads,…”

Section: Expectation and Entitlement To Use The Roadmentioning

confidence: 99%

Equine road user safety: Public attitudes, understandings and beliefs from a qualitative study in the United Kingdom

Chapman¹,

Musselwhite

2011

Accident Analysis & Prevention

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“…Possession of a full license has been shown to increase risk of bicycle accident involvement at junctions 127 .…”

Section: Driver Trainingmentioning

confidence: 99%

“…There is evidence that drivers often report not being aware of cyclists they collide with. An in-depth study of bicycle-car accidents reported that only 51% of car drivers had noticed the cyclist prior to the collision 127 . Detection of cyclists seems particularly poor when motor vehicles are pulling alongside the cyclist or approaching them from behind 180 95 140 .…”

Section: Conspicuity and Bicycle Crashesmentioning

confidence: 99%