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Dani Nasirul Haqi
Faculty of Public Health, Universitas Airlangga
Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Human Factors Analysis and Traffic Accident Prevention Program for Motorcycle Drivers: A Systematic Review Dani Nasirul Haqi; Endang Dwiyanti; Yustinus Denny Ardyanto Wahyudiono; Bian Shabri Putri Irwanto
Health Dynamics Vol 3, No 1 (2026): January 2026
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd30106

Abstract

Background: The human factor is the main factor in determining the success of traffic safety. The existence of human factors needs to be analyzed in more depth to create a more appropriate accident prevention program. This systematic review aims to investigate human factors, namely motorcycle drivers, causing traffic accidents and determine more effective accident prevention programs. Methods: The method used was a systematic review on electronic data sources such as ScienceDirect, ProQuest, PubMed, and Google Scholar using the keywords “human factor, traffic accident prevention program, and two-wheeled motorcycle driver”. Using the inclusion and exclusion criteria in the final stage, nineteen articles were found. Results: Human factors are the primary cause of traffic accidents involving motorcyclists, with two main aspects standing out most prominently. First, the high rate of traffic violations, such as speeding, running red lights, failing to maintain a safe distance, and aggressive driving behavior. Second, low compliance with the use of safety equipment, such as not wearing a standard helmet, protective jacket, gloves, or other safety gear. Ongoing specialized education and training programs are the most effective strategy. Conclusion: Human factors are the leading cause of traffic accidents, particularly among motorcyclists. The most effective preventive measure is through ongoing education and training programs.
Analysis of Individual and Biomechanical Risk Factors Associated with Musculoskeletal Disorders in Online Motorcycle Taxi Drivers Dani Nasirul Haqi; Endang Dwiyanti; Velu Perumal; Mochamad Haidar; Alifiah Rosydah; Moch Sahri
Health Dynamics Vol 2, No 8 (2025): August 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20801

Abstract

Background: Online motorcycle drivers are faced with accidents and occupational health risks when driving, one of which is Musculoskeletal Disorders (MSDs), which can interfere with comfort and focus when driving and can result in accidents. This study aims to analyze individual and biomechanical factors affecting MSDs in online motorcycle taxi drivers. Methods: This is a cross-sectional study with an observational-analytic research design. A questionnaire was used to obtain data on individual and biomechanical factors. The Nordic Body Map (NBM) questionnaire instrument was used to assess MSDs complaints. Results: The most commonly reported slight pain was in the right shoulder (56.7%), waist (55.0%), and upper neck and back (each 53.3%). The majority of online motorcycle drivers (76.7%) experienced low-level complaints. All individual and biomechanical factors have a positive relationship with MSDs complaints in online motorcycle drivers. Conclusions: Drivers must pay attention to their nutritional needs, stop smoking, and stretch 1-2 times a day regularly between work hours. 
Co-Authors Alifiah Rosydah Bian Shabri Putri Irwanto Endang Dwiyanti Endang Dwiyanti Moch Sahri Mochamad Haidar Velu Perumal Yustinus Denny Ardyanto Wahyudiono