Bicyclist–Bicyclist Crashes—A Medical and Technical Crash Analysis

Brand, Stephan; Otte, Dietmar; Petri, Maximilian; Müller, Christian; Stübig, Timo; Krettek, Christian; Haasper, Carl

doi:10.1080/15389588.2012.688152

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…By taking into account the systematic heterogeneity in bicycle crashes, researchers and practitioners can identify the most appropriate safety countermeasures for different bicycle crash types occurred under different conditions. To reduce heterogeneity, researchers focused on narrow bicycle crash characteristics such as type of opponent vehicle [ 54 ] or type of location [ 55 ]. Although the findings of these studies are important to identify the risk factors and the appropriate safety countermeasures by reducing heterogeneity, this approach does not guarantee that bicycle crashes data comprise homogeneous groups of bicycle crashes.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining

Prati

Fraboni

2017

PLoS ONE

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The factors associated with severity of the bicycle crashes may differ across different bicycle crash patterns. Therefore, it is important to identify distinct bicycle crash patterns with homogeneous attributes. The current study aimed at identifying subgroups of bicycle crashes in Italy and analyzing separately the different bicycle crash types. The present study focused on bicycle crashes that occurred in Italy during the period between 2011 and 2013. We analyzed categorical indicators corresponding to the characteristics of infrastructure (road type, road signage, and location type), road user (i.e., opponent vehicle and cyclist’s maneuver, type of collision, age and gender of the cyclist), vehicle (type of opponent vehicle), and the environmental and time period variables (time of the day, day of the week, season, pavement condition, and weather). To identify homogenous subgroups of bicycle crashes, we used latent class analysis. Using latent class analysis, the bicycle crash data set was segmented into 19 classes, which represents 19 different bicycle crash types. Logistic regression analysis was used to identify the association between class membership and severity of the bicycle crashes. Finally, association rules were conducted for each of the latent classes to uncover the factors associated with an increased likelihood of severity. Association rules highlighted different crash characteristics associated with an increased likelihood of severity for each of the 19 bicycle crash types.

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Section: Introductionmentioning

confidence: 99%

Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining

Prati

Fraboni

2017

PLoS ONE

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“…There is plethora of evidences in the literature that helmet reduces the risk of loss of consciousness and head injury. [2223] Policy changes and educational programs that increase the use of helmets may prevent deaths. [23]…”

Section: Discussionmentioning

confidence: 99%

Injuries associated with cycle rickshaws accidents

Meena

Barwar

Rastogi

et al. 2014

J Emerg Trauma Shock

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Context:Cycle rickshaw is an important means of transportation in Urban India. Pedestrians, rickshaw users, rickshaw pullers, two wheeled vehicle users and cyclists are among the most vulnerable road user groups in terms of injuries and fatalities resulting from road traffic accidents in India. Our objectives were to study characteristics of crashes and nature of injuries associated with cycle rickshaw.Patients and Methods:Between August 2008 to July 2009, a hospital based observational study was done of patients who presented to King George medical college trauma center with injury sustained due to cycle rickshaw in emergency department. Age, time of trauma, mode of trauma, contributing factors and type of injury were recorded.Results:The mean age of the patient was 32.1. Seventeen patients were rickshaw pullers and the rest were occupants of the rickshaw. Overloading with more than two passengers was found in 24 cases (28.5%). Most common cause of injury was collision with a moving vehicle (56 patients, %) followed by fall from rickshaw. The most common contributing factor was the overloading of rickshaw. On arrival to the hospital, the mean Injury severity score (ISS) was 3.5 ± 2.2 and the mean Glasgow coma scale (GCS) was 13.4 ± 4.3. Nine patients were admitted to ICU (Intensive care unit). The median ICU stay was 4 (1-24 days). Six of the ICU admitted patients had head injury.Conclusion:Rickshaw pullers and occupants are vulnerable to road traffic accidents. Urgent preventive measures targeted towards this group are needed to reduce the morbidity and mortality resulting from injuries involving rickshaws. The need for improved understanding of the risk characteristics of cycle rickshaw is emphasized.

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“…Among children aged 5–14, who have the highest rate of bicycle-related injuries, 29% never wore a helmet while riding [ 18 ]. Bicycle-to-bicycle collisions have also been found to be prevalent, especially in urban environments [ 19 ]. Although these injuries tend to be more moderate, severe injuries can occur to the head or other extremities [ 19 , 20 ].…”

Section: The Importance Of Booster Seats and Bicycle Helmetsmentioning

confidence: 99%

“…Bicycle-to-bicycle collisions have also been found to be prevalent, especially in urban environments [ 19 ]. Although these injuries tend to be more moderate, severe injuries can occur to the head or other extremities [ 19 , 20 ]. Recent research examining the risk of fatal head injuries found that not wearing a helmet while riding a bicycle increased the risk of sustaining a head injury, as well as the risk of death from such an injury [ 21 ].…”

Section: The Importance Of Booster Seats and Bicycle Helmetsmentioning

confidence: 99%

Challenges in the Accurate Surveillance of Booster Seat and Bicycle Helmet Usage by Children: Lessons from the Field

Pankratz

Warda

Piotrowski

2016

IJERPH

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Motor vehicle collisions and bicycle collisions and falls are a leading cause of death by preventable injury for children. In order to design, implement and evaluate campaigns and programs aimed at improving child safety, accurate surveillance is needed. This paper examined the challenges that confront efforts to collect surveillance data relevant to child traffic safety, including observation, interview, and focus group methods. Strategies to address key challenges in order to improve the efficiency and accuracy of surveillance methods were recommended. The potential for new technology to enhance existing surveillance methods was also explored.

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Bicyclist–Bicyclist Crashes—A Medical and Technical Crash Analysis

Cited by 14 publications

References 20 publications

Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining

Characteristics of cyclist crashes in Italy using latent class analysis and association rule mining

Injuries associated with cycle rickshaws accidents

Challenges in the Accurate Surveillance of Booster Seat and Bicycle Helmet Usage by Children: Lessons from the Field

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