Highlights ► We model the motivation of driving behavior for lifetime license revoked offenders. ► Offenders’ driving behavior is mainly associated with intention and previous habit. ► Attitude and perceived behavioral control are also correlated to driving behavior. ► Subjective norms have no influence on driving behavior.

    Abstract The purpose of the present study was to verify the motivational factors underlying the theory of planned behavior (TPB) predicting the driving behavior of lifetime driving license revoked offenders. Of a total of 639 drivers whose licenses had been permanently revoked, 544 offenders completed a questionnaire constructed to measure attitudes toward behaviors, subjective norms, perceived behavioral control, behavioral intentions (the key constructs of the TPB), and previous driving habit strength. The finding of the study revealed that an offenders’ driving behavior after a lifetime license revocation was significantly correlated to behavioral intention (R =0.60, p <0.01), perceived behavioral control (R =0.61, p <0.01), previous driving habit (R =0.44, p <0.01), and attitude (R =0.41, p <0.01). There was no evidence that subjective norms including road regulation, society ethics, and people important to offenders had an influence on driving behavior (R =0.03). Low driving habit strength offenders are motivated to drive because of behavioral intention, whereas strong driving habit strength offenders are motivated to drive because of perceived behavioral control. Previous driving habit strength is a moderator in the intention–behavior relationship. The model appeared successful when previous habits were weak, but less successful when previous habits were strong.


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    Title :

    Modeling motivation and habit in driving behavior under lifetime driver's license revocation


    Contributors:

    Published in:

    Publication date :

    2012-11-20


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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