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Accident Analysis and Prevention 50 (2013) 840847Contents lists available at SciVerse ScienceDirectAccidentAnalysisandPreventionj our nal homepage: www. el sevi er . com/ l ocat e/ aapWhydocyclistsinfringeatredlights?AninvestigationofAustraliancyclistsreasonsforredlightinfringementMarilynJohnsona,b,,JudithCharltona,JenniferOxleya,StuartNewsteadaaMonash University Accident Research Centre, Building 70, Monash University, Clayton, VIC 3800, AustraliabAmyGillett Foundation, AustraliaarticleinfoArticle history:Received 15 January 2012Accepted 6 July 2012Keywords:CyclistRed light infringementCyclist-inclusiveInfrastructureEnforcementabstractThisstudyinvestigatedthebehavioural,attitudinalandtrafcfactorscontributingtoredlightinfringe-mentbyAustraliancyclistsusinga nationalonlinesurvey.ThesurveywasconductedfromFebruarytoMay 2010.In total,2061cyclistscompletedthesurveyand37.3%reportedthattheyhadriddenthroughasignalisedintersectionduringtheredlightphase.Themainpredictivecharacteristicsforinfringe-mentwere:genderwithmalesmorelikelytooffendthanfemales(OR:1.54,CI:1.221.94);agewitholdercyclistslesslikelytoinfringecomparedtoyoungercyclists1829years(3049yrs:OR:0.71,CI:0.520.96;50+yrs:OR:0.51,CI:0.350.74),and;crashinvolvementwithcyclistsmorelikelytoinfringeatredlightsiftheyhadnotpreviouslybeeninvolvedina bicyclevehiclecrashwhileriding(OR:1.35;CI:1.101.65).Themainreasonsgivenforredlightinfringementwere:toturnleft(32.0%);becausetheinductiveloopdetectordidnotdetecttheirbike(24.2%);whentherewasnootherroaduserspresent(16.6%);ata pedestriancrossing(10.7%);andOther(16.5%).Amultinomiallogisticregressionmodelwasconstructedtoexaminetheassociationsbetweencyclistcharacteristicsandreasonsforinfringement.Findingssuggestthatsomecyclistsaremotivatedtoinfringebytheirperceptionthattheirbehaviourissafeandthatinfrastructurefactorswereassociatedwithinfringement.Waystomanagethis,potentiallyrisky,behaviourincludingbehaviourprogrammes,morecyclist-inclusiveinfrastructureandenforcementare discussed. 2012 Elsevier Ltd. All rights reserved.1. IntroductionRed light infringement is one of the most obvious illegalbehaviour of all road users, including on-road cyclists, yet thereis little evidence to advance our understanding of why cyclistsengage in this, potentially risky, behaviour. In Australia, observa-tional studies reported relatively low infringement rates from 7to 9 per cent (Daff and Barton, 2005; Johnson et al., 2011) com-pared with other countries. Internationally, higher rates of cyclistred light infringement rates have been reported. In Brazil, a cross-sectional survey study of male commuter cyclists reported a redlight infringement rate of 38.4 per cent (n=1511) (Bacchieri et al.,2010). InChina, anobservational study of pedal cyclists and electricbike riders reported that over half of all riders had infringed (56%,n=451) (Wu et al., in press).Corresponding author at: MonashUniversity Accident ResearchCentre, Building70,Monash University, Clayton, VIC 3800, Australia. Tel.: +61 3 9902 0353;fax: +61 3 9905 4363.E-mail addresses: [email protected] (M.Johnson),[email protected] (J. Charlton), [email protected] (J. Oxley),[email protected] (S. Newstead).While driver red light infringement has a denite risk to otherroad users and is a contributing factor in intersection crashes(Reason et al., 1990; Retting et al., 1999a),cyclist red light infringe-ment leads to few crashes. Analyses of police recorded cyclistcrashes due toredlight infringement have reportedrates of only1.8per cent inthe UK(Lawson, 1991) and66.5per cent inQueensland,Australia (Green, 2003; Schramm et al., 2008). In a comprehen-sive travel study in Brazil, cyclist red light infringement was notsignicantly associated with crashes (p=0.819) (Bacchieri et al.,2010).Red light infringement is frequently cited as the cyclistbehaviour that most annoys drivers and is perceived as typicalcyclist behaviour (Fincham, 2006; Kidder, 2005; OBrien et al.,2002). Riding through red lights has been identied as part ofthe Australian medias negative portrayal of cyclists, particularlyin the print media (Rissel et al., 2010), despite the low observednumber of non-compliant cyclists in Australia and the low associ-ation between red light infringement and crashes. The media oftenreport cyclists frequent red light infringement as evidence of gen-eral unlawfulness and suggest increased police enforcement wouldimprove cyclist behaviour (Harrison, 2007; Rennie, 2009).Little is known about Australian cyclists reasons for infringe-ment. Observational studies are limited in their capacity to explore0001-4575/$ see front matter 2012 Elsevier Ltd. All rights reserved.http://dx.doi.org/10.1016/j.aap.2012.07.008M. Johnson et al. / Accident Analysis and Prevention 50 (2013) 840847 841the underlying mechanisminvolved in red light infringement, andto date, there have been no epidemiological studies addressingthese mechanisms (Wu et al., in press). Cyclist red light infringe-ment due to cyclists recalcitrance that can be reduced by increasedenforcement maybe an oversimplication as broader, systemfac-tors mayalso contribute to this behaviour. It is important tounderstand why cyclists infringe at red lights to guide counter-measure development aimed at compliance.2. MethodsAn online survey was conducted amongst a sample of cyclistsand drivers in Australia that investigated their on-road experiencesincluding cyclists previous red light infringement behaviour andreasons for infringement.2.1. ParticipantsParticipants aged 18 years or older took part in this study. Par-ticipation was voluntary and no incentive was offered. All potentialrespondents were provided with an explanation of the study andtheir informed consent was implied in the submission of an anony-mous survey response. The Monash University Human ResearchEthics Committee approved the study protocols.The main recruitment method was online through the use ofseveral websites (Monash University webpage and intranet, AmyGillett Foundation webpage and social network page). In addition,a snowball recruitment strategy was used, the survey link wassentto participants fromprevious cycling studies at Monash UniversityAccident ResearchCentre andthey were invitedtoforwardthe link.The survey wasalso publicised during a radio interview.2.2. Online surveyThe survey was designed to investigate a range of driver andcyclist behaviours on the road and their reasons for speciedbehaviours. During the development phase, the survey waspilotedwith cyclists (n=5) and drivers (n=5) aged 18 years or older toassess question clarity. The survey was delivered online using theSurveyMonkey software. A paper copy was available on requestbut no requests were received. The survey was conducted fromFebruary to May2010.2.3. Data analysisRespondents status as a cyclist was determined based on theresponse to the question Do you ride a bicycle, with respondentswho answered that they rode often or occasionally identied ascyclists. For the current analyses, only respondents identied ascyclists were included.Two survey questions related to the cyclists red light infringe-ment behaviour were analysed: (1) When you are riding do youstop at red lights. Response options were Never, Seldom, Some-times, Often and Always and (2) When would you ride through ared light? Response options were I always ride through red lights,I never ride througha redlight, Whentrying to cross onthe amberand it turns red, When turning left, At a pedestrian crossing,When Imin a hurry and Other an open-ended option.Six demographic characteristics variables were extracted: gen-der, age group, marital status, work status, educational level andincome.Cycling experience questions were also analysed to identifyrespondent riding characteristics: (1) crash involvement with avehicle (yes/no), (2) distance ridden, and red light infringementne when driving in the last two years (yes/no). Previous researchinto drivers trafc infringements reported a higher number of self-reported infringements among drivers with a high annual mileage(Reason et al., 1990), (3) distance cyclists typically rode per weekin warmer months and colder months (none,