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            DOI:10.6905/JC.202007_9(2).0001                                                  ኪஔሞഹ



            A Delphi Study on the Penalty Policy for Driving Under

            Influence




            Abstract           Chi-Hsun Chou, Yu-Shu Chen, Chien-Yang Albert Lin




                  The driving under influence (DUI) has satisfied the formal legislation
            to criminal penalties since 1999. However, the DUI crime and recidivism are
            extensively concerned in Taiwan. To build the policy consensus of DUI crime,
            purposes of the current study are to evaluate the effectiveness of the policy
            of penalizing sanctions for DUI crime without causing deaths or injuries and
            imprisoning the DUI recidivist through a quantitative Delphi expert survey.
            Research findings with higher policy consensus are as follows: (1) The DUI
            penalty policy has a significantly positive impact on reducing DUI accidents, but
            not an effective policy to inhibit DUI crime. (2) For DUI offenders sentenced
            to 6 months or less and unable to pay fines, it is suitable to punish them by
            the community service instead of imprisonment to reduce negative label and
            overcrowding in prison. (3) According to the guidance of medicine prior to justice,
            it is essential to provide alcoholism assessment and multiple treatment service
            for DUI offenders to reduce recidivism. (4) Multi-educational propaganda can be
            employed to enhance citizen’s DUI risk perceptions for general prevention. (5)
            The “Alcolock” should be compulsorily installed to prevent DUI recidivists from
            attempting to DUI. Suggestions on the prevention and policy of DUI crime are
            also discussed based on the research findings.


            Keywords :  driving under influence (DUI), penalty policy, Delphi method,
                        deterrence model, medical model, community model






















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