Spatial clustering and route-based analysis of DUI incidents for enhancing traffic enforcement deployment

The findings emphasize route-based DUI enforcement along urban networks, combining static checkpoints and dynamic patrols to improve efficiency in high-risk areas. Despite potential biases in self-reported origin data, the framework remains robust and offers practical insights for DUI prevention and policy development.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-12-04
DOI
https://doi.org/10.1080/15389588.2025.2583398
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatial clustering and route-based analysis of DUI incidents for enhancing traffic enforcement deployment

J. Lee, Ho‐Chul Park, Cheol-Won Choe
Traffic Injury Prevention
Network Security and Intrusion Detection
article

Spatial clustering and route-based analysis of DUI incidents for enhancing traffic enforcement deployment

J. Lee, Ho‐Chul Park, Cheol-Won Choe
article en

Abstract

The findings emphasize route-based DUI enforcement along urban networks, combining static checkpoints and dynamic patrols to improve efficiency in high-risk areas. Despite potential biases in self-reported origin data, the framework remains robust and offers practical insights for DUI prevention and policy development.

Traffic Injury Prevention
Korean National Police University (KR), National Research Institute of Police Science (JP), Myongji University (KR)
Openalex Percentile: Top 56%
Network Security and Intrusion Detection
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