Article: Bicycle-related crashes in hong kong: Is it possible to reduce mortality and severe injury in the metropolitan area?

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TitleBicycle-related crashes in hong kong: Is it possible to reduce mortality and severe injury in the metropolitan area?
AuthorsSze, NN2
Tsui, KL1
Wong, SC2
So, FL1
KeywordsBicycling
Injury scale
Logit model
Traffic accidents
Issue Date2011
PublisherMedcom Limited. The Journal's web site is located at http://www.hkcem.com/html/publications/
CitationHong Kong Journal Of Emergency Medicine, 2011, v. 18 n. 3, p. 136-143 [How to Cite?]
AbstractBackground: Cycling is not the primary mode of commuter transport in Hong Kong, yet cyclists are exposed to a high risk of injury and fatality in road crashes. It is essential to identify the significant factors contributing to severe injury among cyclists in Hong Kong. Aim: To evaluate the effects of significant factors, including demographics, temporal distribution, cyclist behavior, road conditions, and weather, on the risk of severe and life-threatening injury among cyclists in road crashes in Hong Kong. Method: The study was nested ona database known as Road Casualty Information System (RoCIS) which is a linked database between police traffic accident investigations reports and hospital injury records. A total of 682 victims were identified during the study period from 1 January 2004 to 31 December 2006. In particular, injured body part, demographics, helmet use, alcohol intoxication, weather conditions, road type and geometry, and collision characteristics of 682 trauma patients were the attributing variables of concern. The primary outcome measure was the injury severity of trauma patients which was classified into three levels: slight injury [Injury severity Scale (ISS) </=8], severe injury (ISS >/=9), and life-threatening injury (ISS >/=25). A multinomial logit regression model was established to evaluate the significance of factors contributing to severe and lifethreatening injuries among cyclists in road crashes. Results: The results indicated that middle-aged and elderly (35-54, RRR=2.48; and 55 or above, RRR=4.39) casualties and favourable weather conditions (2.56) significantly increased the risk of severe injury among cyclists. The presence of severe head injury(RRR=509.24), severe trunk injury (RRR=79.24), and the involvement of motor vehicles (RRR=27.18) substantially increased the risk of life-threatening injury to cyclists. Conclusions: Middle-aged casualties, the presence of head injuries, and the involvement of motor vehicles all increase the risk of more severe injury in bicycle-related crashes. Safety education and countermeasures should target at middle-aged and elderly cyclists and discourage cycling on the motorway.
DescriptionThe article can be viewed at http://www.hkcem.com/html/publications/Journal/2011-3%20May/p136-143.pdf
ISSN1024-9079
2011 Impact Factor: 0.103
2011 SCImago Journal Rankings: 0.028
ReferencesReferences in Scopus
DC Field
Value
dc.contributor.authorSze, NN
dc.contributor.authorTsui, KL
dc.contributor.authorWong, SC
dc.contributor.authorSo, FL
dc.date.accessioned2011-06-17T09:33:30Z
dc.date.available2011-06-17T09:33:30Z
dc.date.issued2011
dc.description.abstractBackground: Cycling is not the primary mode of commuter transport in Hong Kong, yet cyclists are exposed to a high risk of injury and fatality in road crashes. It is essential to identify the significant factors contributing to severe injury among cyclists in Hong Kong. Aim: To evaluate the effects of significant factors, including demographics, temporal distribution, cyclist behavior, road conditions, and weather, on the risk of severe and life-threatening injury among cyclists in road crashes in Hong Kong. Method: The study was nested ona database known as Road Casualty Information System (RoCIS) which is a linked database between police traffic accident investigations reports and hospital injury records. A total of 682 victims were identified during the study period from 1 January 2004 to 31 December 2006. In particular, injured body part, demographics, helmet use, alcohol intoxication, weather conditions, road type and geometry, and collision characteristics of 682 trauma patients were the attributing variables of concern. The primary outcome measure was the injury severity of trauma patients which was classified into three levels: slight injury [Injury severity Scale (ISS) </=8], severe injury (ISS >/=9), and life-threatening injury (ISS >/=25). A multinomial logit regression model was established to evaluate the significance of factors contributing to severe and lifethreatening injuries among cyclists in road crashes. Results: The results indicated that middle-aged and elderly (35-54, RRR=2.48; and 55 or above, RRR=4.39) casualties and favourable weather conditions (2.56) significantly increased the risk of severe injury among cyclists. The presence of severe head injury(RRR=509.24), severe trunk injury (RRR=79.24), and the involvement of motor vehicles (RRR=27.18) substantially increased the risk of life-threatening injury to cyclists. Conclusions: Middle-aged casualties, the presence of head injuries, and the involvement of motor vehicles all increase the risk of more severe injury in bicycle-related crashes. Safety education and countermeasures should target at middle-aged and elderly cyclists and discourage cycling on the motorway.
dc.description.natureLink_to_subscribed_fulltext
dc.descriptionThe article can be viewed at http://www.hkcem.com/html/publications/Journal/2011-3%20May/p136-143.pdf
dc.identifier.citationHong Kong Journal Of Emergency Medicine, 2011, v. 18 n. 3, p. 136-143 [How to Cite?]
dc.identifier.epage143
dc.identifier.hkuros185478
dc.identifier.issn1024-9079
2011 Impact Factor: 0.103
2011 SCImago Journal Rankings: 0.028
dc.identifier.issue3
dc.identifier.openurl
dc.identifier.scopuseid_2-s2.0-79959833507
dc.identifier.spage136
dc.identifier.urihttp://hdl.handle.net/10722/134605
dc.identifier.volume18
dc.languageeng
dc.publisherMedcom Limited. The Journal's web site is located at http://www.hkcem.com/html/publications/
dc.publisher.placeHong Kong
dc.relation.ispartofHong Kong Journal of Emergency Medicine
dc.relation.referencesReferences in Scopus
dc.subjectBicycling
dc.subjectInjury scale
dc.subjectLogit model
dc.subjectTraffic accidents
dc.titleBicycle-related crashes in hong kong: Is it possible to reduce mortality and severe injury in the metropolitan area?
dc.typeArticle
Author Affiliations
  1. Tuen Mun Hospital
  2. The University of Hong Kong