Socioeconomic influences on drunk driving recidivism: an integrated Prototype Willingness Model approach

This study reveals that drunk driving recidivism is influenced by the interplay of psychological constructs and socioeconomic characteristics, with attitude, subjective norms, and perceived behavioral control playing key roles in decision-making. Applying MANOVA to the PWM framework facilitates identification of group differences and supports multi-level, targeted interventions. It is recommended that government implement integrated measures combining legal enforcement, education, and social counseling to reduce recidivism and enhance traffic safety. Given the study's cross-sectional design, reliance on self-reported data, and regional limitations, future research should adopt longitudinal designs and larger samples to improve generalizability and policy applicability.

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Publication Details

Journal
Traffic Injury Prevention
Published
2026-02-04
DOI
https://doi.org/10.1080/15389588.2026.2617458
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Socioeconomic influences on drunk driving recidivism: an integrated Prototype Willingness Model approach

Rong-Chang Jou, Han-Wen Hsu
Traffic Injury Prevention
Traffic and Road Safety
article

Socioeconomic influences on drunk driving recidivism: an integrated Prototype Willingness Model approach

Rong-Chang Jou, Han-Wen Hsu
article en

Abstract

This study reveals that drunk driving recidivism is influenced by the interplay of psychological constructs and socioeconomic characteristics, with attitude, subjective norms, and perceived behavioral control playing key roles in decision-making. Applying MANOVA to the PWM framework facilitates identification of group differences and supports multi-level, targeted interventions. It is recommended that government implement integrated measures combining legal enforcement, education, and social counseling to reduce recidivism and enhance traffic safety. Given the study's cross-sectional design, reliance on self-reported data, and regional limitations, future research should adopt longitudinal designs and larger samples to improve generalizability and policy applicability.

Traffic Injury Prevention
Ministry of Transportation and Communications (TW), Ministry of Communications (BR), National Chi Nan University (TW)
Peace, Justice and strong institutions
Openalex Percentile: Top 72%
Traffic and Road Safety
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Socioeconomic influences on drunk driving recidivism: an integrated Prototype Willingness Model approach — Rong-Chang Jou, Han-Wen Hsu · Traffic Injury Prevention (2026) | TGRS Research Map | TGRS