HighlightsThe problem of speeding behavior on rural roads was considered.A questionnaire on the determinants of speeding was developed and validated.Distinction between the attitudinal and normative components was supported.The view that speeding violation is both intentional and habitual was supported.Speeding behavior was substantially influenced by the personal norm.Lesser role of habit in predicting speeding intention and behavior was identified.

    AbstractThe present study deals with the problem of speeding behavior on rural roads. The purpose of the paper is to examine the construct validity and the internal consistency and reliability of a questionnaire that measures the determinants of speeding behavior. In addition, it aimed to test the predictive validity of a modified theoretical framework of a theory of planned behavior (TPB) in relation to speeding behavior. A total of 546 car drivers from five local communities in the Republic of Srpska successfully completed the questionnaire after reading the scenario. The principal component analysis revealed seven components interpreted as: personal norm, perceived behavioral control, affective attitude toward speeding, subjective norm, habit, descriptive norm, and cognitive attitude toward speeding. A speeding behavior model was developed by structural equation modeling. Personal norm, subjective norm, and affective attitudes were shown to be important variables within the modified TPB in understanding speeding behavior. Overall, the present findings provide significant support for the concept of the modified theoretical framework of TPB in relation to speeding behavior on rural roads. Implications for a speeding behavior model and interventions are discussed.


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    Titel :

    An examination of the construct and predictive validity of the self-reported speeding behavior model


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2016-11-15


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch