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Beyond general behavioral theories: Structural discrepancy in young motorcyclist's risky driving behavior and its policy implications

dc.citation.epage176en_US
dc.citation.issueen_US
dc.citation.spage165en_US
dc.citation.volume49en_US
dc.citation.woscount3
dc.contributor.authorChung, Yi-Shihen_US
dc.contributor.authorWong, Jinn-Tsaien_US
dc.contributor.department運輸與物流管理系 註:原交通所+運管所zh_TW
dc.contributor.departmentDepartment of Transportation and Logistics Managementen_US
dc.date.accessioned2014-12-08T15:29:02Z
dc.date.available2014-12-08T15:29:02Z
dc.date.issued2012-11-01en_US
dc.description.abstractWhile many studies examine the mean score differences of psychological determinants between heterogeneous driver groups, this study reveals a structural discrepancy in a causal behavioral framework. Using young motorcyclists (ages 18-28) as subjects, this study investigates the various roles of key influential factors in determining risky driving behavior. Multi-group analysis of structural equation modeling shows that age and gender are two factors that can effectively distinguish heterogeneous driver groups exhibiting different decision-making mechanisms in shaping their risky driving behaviors. When encountering undesirable traffic conditions, road rage can immediately increase male motorcyclists' intentions to engage in risky driving behaviors; on the other hand, young female motorcyclists further calculate their perceived risk to determine whether to engage in risky driving behaviors. This result shows that there is a significant link between risk perception and traffic condition awareness for experienced drivers (ages 25-28), but not for younger drivers (ages 18-24). This finding shows that while well-developed theories such as planned behavior and risk homeostasis provide general frameworks to explain risky driving behavior, heterogeneous driver groups may exhibit structural discrepancies that reflect their various decision-making mechanisms. This suggests that, in addition to mean differences, understanding structural discrepancies among heterogeneous groups could help researchers identify effective intervention strategies. (C) 2011 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.aap.2011.04.021en_US
dc.identifier.issn0001-4575en_US
dc.identifier.journalACCIDENT ANALYSIS AND PREVENTIONen_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.aap.2011.04.021en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/20940
dc.identifier.wosnumberWOS:000313845300020
dc.language.isoen_USen_US
dc.subjectMotorcyclisten_US
dc.subjectRisky behavioren_US
dc.subjectStructural discrepancyen_US
dc.subjectStructural equation modelingen_US
dc.subjectDemographic factoren_US
dc.titleBeyond general behavioral theories: Structural discrepancy in young motorcyclist's risky driving behavior and its policy implicationsen_US
dc.typeArticleen_US

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