An exploratory multinomial logit analysis of single-vehicle motorcycle accident severity

A review of risk factors and patterns of motorcycle injuries

Objective To investigate whether the risk of motorcycle crash related injuries is associated with the conspicuity of the driver or vehicle. Design Population based case-control study. Setting Auckland region of New Zealand from February 1993 to February 1996. Participants 463 motorcycle drivers (cases) involved in crashes leading to hospital treatment or death; 1233 motorcycle drivers (controls) recruited from randomly selected roadside survey sites. Main outcome measures Estimates of relative risk of motorcycle crash related injury and population attributable risk associated with conspicuity measures, including the use of reflective or fluorescent clothing, headlight operation, and colour of helmet, clothing, and motorcycle. Results Crash related injuries occurred mainly in urban zones with 50 km/h speed limit (66%), during the day (63%), and in fine weather (72%). After adjustment for potential confounders, drivers wearing any reflective or fluorescent clothing had a 37% lower risk (multivariate odds ratio 0.63, 95% confidence interval 0.42 to 0.94) than other drivers. Compared with wearing a black helmet, use of a white helmet was associated with a 24% lower risk (multivariate odds ratio 0.76, 0.57 to 0.99). Self reported light coloured helmet versus dark coloured helmet was associated with a 19% lower risk. Three quarters of motorcycle riders had their headlight turned on during the day, and this was associated with a 27% lower risk (multivariate odds ratio 0.73, 0.53 to 1.00). No association occurred between risk and the frontal colour of drivers’ clothing or motorcycle. If these odds ratios are unconfounded, the population attributable risks are 33% for wearing no reflective or fluorescent clothing, 18% for a non-white helmet, 11% for a dark coloured helmet, and 7% for no daytime headlight operation.

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Motorcycle rider conspicuity and crash related injury: case-control study

A behavioral comparison between motorcyclists and a matched group of non-motorcycling car drivers: factors influencing accident risk

http://eprints.qut.edu.au/51202/1/MODELIING_FAULT_AMONG_MOTORCYCLISTS_INVOLVED_IN_CRASHES.pdf

Modeling fault among motorcyclists involved in crashes

The report presents the data and findings from the on-scene, in-depth investigations of 900 motorcycle accidents and the analysis of 3600 motorcycle traffic accident reports in the same study area. Comprehensive data covers details of environmental, vehicle and human factors. The analysis of these data identify cause factors of motorcycle accidents, relates the effectiveness of safety equipment and protective devices, and identifies countermeasures for accident and injury prevention. Volume I contains the data analysis, findings, conclusions and recommended countermeasures.

/pdf/motorcycle-accident-cause-factors-and-identification-of-169otj0yr2.pdf

Motorcycle accident cause factors and identification of countermeasures. volume i: technical report

The report presents the data and findings from the on-scene, in-depth investigations of 900 motorcycle accidents and the analysis of 3600 motorcycle traffic accident reports in the same study area. Volume II is the Appendix with terminology, field data forms, and supplemental data and analysis.

https://rosap.ntl.bts.gov/view/dot/5652/dot_5652_DS1.pdf

D R Thom

Papers

Motorcycle accident cause factors and identification of countermeasures. volume i: technical report

Motorcycle accident cause factors and identification of countermeasures. volume ii: appendix/supplemental data