Analysis of Freight Driver Behavior on Traffic Safety in South Sulawesi

South Sulawesi faces a critical road safety challenge due to high traffic accident rates involving freight drivers, primarily linked to behavioral factors. Despite rising concerns about driving discipline, skills, and emotional regulation in this sector, the mediating role of safety knowledge remains underexplored. This study investigates the direct and indirect effects of freight driver behavior (driving discipline, driving skills, and emotional regulation) on traffic safety outcomes, with safety knowledge as a mediator. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4. Data from 300 randomly selected freight drivers in South Sulawesi were collected through validated questionnaires (Cronbach’s Alpha >0.85). Analysis included 500-bootstrap resampling to test path significance. Driver behavior (discipline/skills/emotional regulation) directly explained 92% of traffic safety variance (? = 0.92, p<0.001). Safety knowledge mediated indirect effects but had weaker direct impact (28.7% variance explained). Emotional regulation emerged as the strongest behavioral predictor. Freight accidents are predominantly driven by behavioral factors rather than knowledge gaps. Interventions targeting driving discipline and emotional regulation—supplemented by safety training—are critical for reducing accidents. Establishes a hierarchical relationship between driver behavior and safety knowledge, challenging assumptions of knowledge as the primary safety driver.

Authors

Institutions

Publication Details

Journal
Jurnal Teknologi Transportasi dan Logistik
Published
2025-06-30
DOI
https://doi.org/10.52920/jttl.v6i1.432
Primary Topic
Urban Transport Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Freight Driver Behavior on Traffic Safety in South Sulawesi

Hakzah Hakzah, Handoko Handoko, Mustakim Mustakim, Rahmadani Rahmadani
Jurnal Teknologi Transportasi dan Logistik
Urban Transport Systems Analysis
article

Analysis of Freight Driver Behavior on Traffic Safety in South Sulawesi

Hakzah Hakzah, Handoko Handoko, Mustakim Mustakim, Rahmadani Rahmadani
article en

Abstract

South Sulawesi faces a critical road safety challenge due to high traffic accident rates involving freight drivers, primarily linked to behavioral factors. Despite rising concerns about driving discipline, skills, and emotional regulation in this sector, the mediating role of safety knowledge remains underexplored. This study investigates the direct and indirect effects of freight driver behavior (driving discipline, driving skills, and emotional regulation) on traffic safety outcomes, with safety knowledge as a mediator. A quantitative approach was employed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4. Data from 300 randomly selected freight drivers in South Sulawesi were collected through validated questionnaires (Cronbach’s Alpha >0.85). Analysis included 500-bootstrap resampling to test path significance. Driver behavior (discipline/skills/emotional regulation) directly explained 92% of traffic safety variance (? = 0.92, p<0.001). Safety knowledge mediated indirect effects but had weaker direct impact (28.7% variance explained). Emotional regulation emerged as the strongest behavioral predictor. Freight accidents are predominantly driven by behavioral factors rather than knowledge gaps. Interventions targeting driving discipline and emotional regulation—supplemented by safety training—are critical for reducing accidents. Establishes a hierarchical relationship between driver behavior and safety knowledge, challenging assumptions of knowledge as the primary safety driver.

Jurnal Teknologi Transportasi dan LogistikVol. 6(1)
Universitas Muhammadiyah Parepare (ID)
Openalex Percentile: Top 79%
Urban Transport Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.