Year: 2024
Type: article
Study design: Observational Study
Abstract: This study aims to identify the key factors influencing road accidents in Thailand, with a specific focus on unsafe motorcycle riding behaviors.Data were collected through an online survey targeting 496 motorcycle riders.The survey explored the impact of demographic factors such as marital status, income, age, and riding experience on riding behavior and accident risk.Key unsafe behaviors identified include eating while riding and transporting passengers, which compromise rider control.ANOVA analysis revealed that marital status is significantly related to traffic violations and injury severity, while higher income levels correlate with safer riding practices.Factor analysis classified risky behaviors into two groups: Traffic Violations (TV) and Safety Violations (SV), both of which are significantly associated with injury severity in accidents.Structural Equation Modeling (SEM) confirmed a clear relationship between these factors and accident outcomes.The findings highlight the importance of addressing risky behaviors, particularly helmetless riding and passenger transportation, in reducing accidents and injuries.The study provides insights for developing road safety strategies in Thailand, although it acknowledges limitations such as potential duplicate responses and the impact of social media platforms on data collection.
Institution: Mae Fah Luang University
Language: English
Topic: Traffic and Road Safety
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $950
Funder: Mae Fah Luang University
OpenAlex ID: W4405800199