Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions

Christoph Leo; Corina Klug; Maria Ohlin; Niels M. Bos; Ragnhild J. Davidse; Astrid Linder

doi:10.1080/15389588.2019.1679551

Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions

Christoph Leo, Corina Klug, Maria Ohlin, Niels M. Bos, Ragnhild J. Davidse, Astrid Linder

Vehicle Safety Institute (3330)

Research output: Contribution to journal › Article › peer-review

Abstract

Objective: To reduce the number of severe injuries sustained by cyclists in crashes with vehicles,
it is important to understand which kinds of injuries are occurring to identify what should be
assessed by means of virtual testing.
Method: A detailed analysis of injuries was made based on Swedish and Dutch accident data. The most
frequently injured body regions and the most frequent single injuries of these body regions were analysed.
Results: Cyclists most frequently injured their heads, upper and lower extremities, and bone fractures
as well as brain injuries were identified as one of the most important injuries.
Conclusions: For the virtual assessment of cyclist protection, injury predictors for long bone, skull
and pelvic fractures as well as brain injuries are required in Human Body Models.

Original language	English
Number of pages	4
Journal	Traffic Injury Prevention
DOIs	https://doi.org/10.1080/15389588.2019.1679551
Publication status	E-pub ahead of print - 14 Nov 2019

Keywords

Cyclists
epidemiology
Sweden
Netherlands
injuries

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10.1080/15389588.2019.1679551Licence: CC BY-NC-ND 4.0

18_EU_VIRTUAL - Open access virtual testing protocols for enhanced road user safety
Klug, C. (Co-Investigator (CoI))
1/06/18 → 30/11/22
Project: Research project

Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions
Leo, C. (Speaker)
18 Oct 2019
Activity: Talk or presentation › Talk at conference or symposium › Science to science

Cite this

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title = "Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions",

abstract = "Objective: To reduce the number of severe injuries sustained by cyclists in crashes with vehicles,it is important to understand which kinds of injuries are occurring to identify what should beassessed by means of virtual testing.Method: A detailed analysis of injuries was made based on Swedish and Dutch accident data. The mostfrequently injured body regions and the most frequent single injuries of these body regions were analysed.Results: Cyclists most frequently injured their heads, upper and lower extremities, and bone fracturesas well as brain injuries were identified as one of the most important injuries.Conclusions: For the virtual assessment of cyclist protection, injury predictors for long bone, skulland pelvic fractures as well as brain injuries are required in Human Body Models.",

keywords = "Cyclists, epidemiology, Sweden, Netherlands, injuries",

author = "Christoph Leo and Corina Klug and Maria Ohlin and Bos, {Niels M.} and Davidse, {Ragnhild J.} and Astrid Linder",

year = "2019",

month = nov,

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doi = "10.1080/15389588.2019.1679551",

language = "English",

journal = "Traffic Injury Prevention",

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T1 - Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions

AU - Leo, Christoph

AU - Klug, Corina

AU - Ohlin, Maria

AU - Bos, Niels M.

AU - Davidse, Ragnhild J.

AU - Linder, Astrid

PY - 2019/11/14

Y1 - 2019/11/14

N2 - Objective: To reduce the number of severe injuries sustained by cyclists in crashes with vehicles,it is important to understand which kinds of injuries are occurring to identify what should beassessed by means of virtual testing.Method: A detailed analysis of injuries was made based on Swedish and Dutch accident data. The mostfrequently injured body regions and the most frequent single injuries of these body regions were analysed.Results: Cyclists most frequently injured their heads, upper and lower extremities, and bone fracturesas well as brain injuries were identified as one of the most important injuries.Conclusions: For the virtual assessment of cyclist protection, injury predictors for long bone, skulland pelvic fractures as well as brain injuries are required in Human Body Models.

AB - Objective: To reduce the number of severe injuries sustained by cyclists in crashes with vehicles,it is important to understand which kinds of injuries are occurring to identify what should beassessed by means of virtual testing.Method: A detailed analysis of injuries was made based on Swedish and Dutch accident data. The mostfrequently injured body regions and the most frequent single injuries of these body regions were analysed.Results: Cyclists most frequently injured their heads, upper and lower extremities, and bone fracturesas well as brain injuries were identified as one of the most important injuries.Conclusions: For the virtual assessment of cyclist protection, injury predictors for long bone, skulland pelvic fractures as well as brain injuries are required in Human Body Models.

KW - Cyclists

KW - epidemiology

KW - Sweden

KW - Netherlands

KW - injuries

U2 - 10.1080/15389588.2019.1679551

DO - 10.1080/15389588.2019.1679551

M3 - Article

SN - 1538-9588

JO - Traffic Injury Prevention

JF - Traffic Injury Prevention

ER -

Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions

Abstract

Keywords

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Projects

18_EU_VIRTUAL - Open access virtual testing protocols for enhanced road user safety

Activities

Analysis of Swedish and Dutch accident data on cyclist injuries in cyclist-car collisions

Cite this