Factors Contributing to Traffic Accidents Among Online Motorcycle Drivers in Malang City
Abstract
Online motorcycle taxi drivers are at high risk of traffic accidents due to human and environmental factors. Malang City, with its dense traffic and varied road conditions, presents a particularly risky setting. This study aims to analyze factors influencing traffic accidents among online motorcycle taxi drivers in Malang City. A cross-sectional study was conducted on 44 drivers using questionnaires that covered demographics, fatigue, workload, driving behavior, road conditions, and weather. Data were analyzed with Spearman’s correlation (α = 0.05). Respondents were predominantly male (88.6%) and aged ≥36 years (75%). Most reported low fatigue (61.4%) and good driving behavior (65.9%). Accident occurrence was significantly correlated with age (r = 0.370, p = 0.013), fatigue (r = 0.583, p < 0.001), workload (r = 0.402, p = 0.007), driving behavior (r = -0.442, p = 0.003), road conditions (r = 0.354, p = 0.018), and weather (r = 0.391, p = 0.009). Gender showed no association. Fatigue, a large workload, unsafe driving behavior, poor road conditions, and adverse weather conditions all increase the risk of accidents. Preventive strategies should emphasize workload regulation, safety training, and infrastructure improvement.
Fields of Study & Subjects
Traffic and Road Safety
Occupational Health and Safety Research
IoT and GPS-based Vehicle Safety Systems
Publication details
- Journal / source
- KnE Medicine
- Volume
- 4
- Issue
- 1
- Pages
- 335–345
- Publication date
- 4 March 2026
- Language
- EN