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Article: Contributory factors to traffic crashes at signalized intersections in Hong Kong

TitleContributory factors to traffic crashes at signalized intersections in Hong Kong
Authors
KeywordsCrash incidence
Negative binomial regression
Poisson regression
Signalized intersections
Issue Date2007
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#description
Citation
Accident Analysis And Prevention, 2007, v. 39 n. 6, p. 1107-1113 How to Cite?
AbstractEfficient geometric design and signal timing not only improve operational performance at signalized intersections by expanding capacity and reducing traffic delays, but also result in an appreciable reduction in traffic conflicts, and thus better road safety. Information on the incidence of crashes, traffic flow, geometric design, road environment, and traffic control at 262 signalized intersections in Hong Kong during 2002 and 2003 are incorporated into a crash prediction model. Poisson regression and negative binomial regression are used to quantify the influence of possible contributory factors on the incidence of killed and severe injury (KSI) crashes and slight injury crashes, respectively, while possible interventions by traffic flow are controlled. The results for the incidence of slight injury crashes reveal that the road environment, degree of curvature, and presence of tram stops are significant factors, and that traffic volume has a diminishing effect on the crash risk. The presence of tram stops, number of pedestrian streams, road environment, proportion of commercial vehicles, average lane width, and degree of curvature increase the risk of KSI crashes, but the effect of traffic volume is negligible. © 2007 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/70924
ISSN
2023 Impact Factor: 5.7
2023 SCImago Journal Rankings: 1.897
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWong, SCen_HK
dc.contributor.authorSze, NNen_HK
dc.contributor.authorLi, YCen_HK
dc.date.accessioned2010-09-06T06:27:20Z-
dc.date.available2010-09-06T06:27:20Z-
dc.date.issued2007en_HK
dc.identifier.citationAccident Analysis And Prevention, 2007, v. 39 n. 6, p. 1107-1113en_HK
dc.identifier.issn0001-4575en_HK
dc.identifier.urihttp://hdl.handle.net/10722/70924-
dc.description.abstractEfficient geometric design and signal timing not only improve operational performance at signalized intersections by expanding capacity and reducing traffic delays, but also result in an appreciable reduction in traffic conflicts, and thus better road safety. Information on the incidence of crashes, traffic flow, geometric design, road environment, and traffic control at 262 signalized intersections in Hong Kong during 2002 and 2003 are incorporated into a crash prediction model. Poisson regression and negative binomial regression are used to quantify the influence of possible contributory factors on the incidence of killed and severe injury (KSI) crashes and slight injury crashes, respectively, while possible interventions by traffic flow are controlled. The results for the incidence of slight injury crashes reveal that the road environment, degree of curvature, and presence of tram stops are significant factors, and that traffic volume has a diminishing effect on the crash risk. The presence of tram stops, number of pedestrian streams, road environment, proportion of commercial vehicles, average lane width, and degree of curvature increase the risk of KSI crashes, but the effect of traffic volume is negligible. © 2007 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/wps/find/journaldescription.cws_home/336/description#descriptionen_HK
dc.relation.ispartofAccident Analysis and Preventionen_HK
dc.subjectCrash incidence-
dc.subjectNegative binomial regression-
dc.subjectPoisson regression-
dc.subjectSignalized intersections-
dc.subject.meshAccident Prevention - methods - statistics & numerical dataen_HK
dc.subject.meshAccidents, Traffic - prevention & control - statistics & numerical dataen_HK
dc.subject.meshCity Planningen_HK
dc.subject.meshEnvironment Designen_HK
dc.subject.meshHong Kong - epidemiologyen_HK
dc.subject.meshHumansen_HK
dc.subject.meshPoisson Distributionen_HK
dc.subject.meshTransportationen_HK
dc.titleContributory factors to traffic crashes at signalized intersections in Hong Kongen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0001-4575&volume=39&spage=1107&epage=1113&date=2007&atitle=Contributory+factors+to+traffic+crashes+at+signalized+intersections+in+Hong+Kongen_HK
dc.identifier.emailWong, SC:hhecwsc@hku.hken_HK
dc.identifier.authorityWong, SC=rp00191en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.aap.2007.02.009en_HK
dc.identifier.pmid17920832-
dc.identifier.scopuseid_2-s2.0-34848920088en_HK
dc.identifier.hkuros138441en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34848920088&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume39en_HK
dc.identifier.issue6en_HK
dc.identifier.spage1107en_HK
dc.identifier.epage1113en_HK
dc.identifier.isiWOS:000250892000006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridWong, SC=24323361400en_HK
dc.identifier.scopusauthoridSze, NN=8412831200en_HK
dc.identifier.scopusauthoridLi, YC=22135562700en_HK
dc.identifier.issnl0001-4575-

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