Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness Model
The paper applies the prototype willingness model (PWM) and incorporates components of the theory of planned behavior (TPB), along with deterrence factors, to understand the behavioral intentions, willingness, and recidivism behaviors of individuals penalized for drunk driving. It explores psycholog...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Behavioral Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-328X/15/1/48 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589101690257408 |
|---|---|
| author | Rong-Chang Jou Han-Wen Hsu |
| author_facet | Rong-Chang Jou Han-Wen Hsu |
| author_sort | Rong-Chang Jou |
| collection | DOAJ |
| description | The paper applies the prototype willingness model (PWM) and incorporates components of the theory of planned behavior (TPB), along with deterrence factors, to understand the behavioral intentions, willingness, and recidivism behaviors of individuals penalized for drunk driving. It explores psychological and social factors influencing repeat offenses, focusing on attitudes, subjective norms, prototypes, and deterrence. The PWM outlines two pathways—reasoned (based on intentions) and social reactive (based on willingness). The model helps predict risky behaviors like drunk driving. Thirteen hypotheses are proposed in this study to examine how various factors, such as attitudes, subjective norms, and deterrence, influence willingness, intentions, and behavior. Surveys were conducted among individuals attending road safety classes after being penalized for drunk driving. A total of 1156 individuals participated in the survey, with 855 valid responses collected. The results indicate that behavioral willingness had a stronger impact on recidivism than intention. On the other hand, subjective norms did not significantly affect the intent to reoffend, but attitudes, deterrence, and PBC did. The findings suggest that focusing on behavioral willingness, deterrence, and educational interventions could help reduce repeat drunk driving offenses. The paper offers insights for policymakers to improve prevention strategies, by focusing on the psychological motivators of repeat offenders. |
| format | Article |
| id | doaj-art-2ac61a4ee9f04cb6a8915bc43e0fc631 |
| institution | Kabale University |
| issn | 2076-328X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj-art-2ac61a4ee9f04cb6a8915bc43e0fc6312025-01-24T13:22:44ZengMDPI AGBehavioral Sciences2076-328X2025-01-011514810.3390/bs15010048Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness ModelRong-Chang Jou0Han-Wen Hsu1Department of Civil Engineering, National Chi Nan University, Nantou 54561, TaiwanDepartment of Civil Engineering, National Chi Nan University, Nantou 54561, TaiwanThe paper applies the prototype willingness model (PWM) and incorporates components of the theory of planned behavior (TPB), along with deterrence factors, to understand the behavioral intentions, willingness, and recidivism behaviors of individuals penalized for drunk driving. It explores psychological and social factors influencing repeat offenses, focusing on attitudes, subjective norms, prototypes, and deterrence. The PWM outlines two pathways—reasoned (based on intentions) and social reactive (based on willingness). The model helps predict risky behaviors like drunk driving. Thirteen hypotheses are proposed in this study to examine how various factors, such as attitudes, subjective norms, and deterrence, influence willingness, intentions, and behavior. Surveys were conducted among individuals attending road safety classes after being penalized for drunk driving. A total of 1156 individuals participated in the survey, with 855 valid responses collected. The results indicate that behavioral willingness had a stronger impact on recidivism than intention. On the other hand, subjective norms did not significantly affect the intent to reoffend, but attitudes, deterrence, and PBC did. The findings suggest that focusing on behavioral willingness, deterrence, and educational interventions could help reduce repeat drunk driving offenses. The paper offers insights for policymakers to improve prevention strategies, by focusing on the psychological motivators of repeat offenders.https://www.mdpi.com/2076-328X/15/1/48prototype willingness modelrecidivismdrunk driving |
| spellingShingle | Rong-Chang Jou Han-Wen Hsu Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness Model Behavioral Sciences prototype willingness model recidivism drunk driving |
| title | Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness Model |
| title_full | Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness Model |
| title_fullStr | Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness Model |
| title_full_unstemmed | Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness Model |
| title_short | Determinants for Drunk Driving Recidivism—An Application of the Integrated Prototype Willingness Model |
| title_sort | determinants for drunk driving recidivism an application of the integrated prototype willingness model |
| topic | prototype willingness model recidivism drunk driving |
| url | https://www.mdpi.com/2076-328X/15/1/48 |
| work_keys_str_mv | AT rongchangjou determinantsfordrunkdrivingrecidivismanapplicationoftheintegratedprototypewillingnessmodel AT hanwenhsu determinantsfordrunkdrivingrecidivismanapplicationoftheintegratedprototypewillingnessmodel |