Data-driven exploration of risk riding behaviors and traffic accident outcomes in Thailand

The dataset encompasses responses from 496 validated participants, representing a nationwide sample across Thailand. It provides a detailed six-month retrospective analysis of motorcycle riding behaviors and traffic incident experiences. The survey instrument was meticulously crafted to capture nuanced information on risky riding practices and their consequential outcomes.

Key components of the dataset are structured as follows:

1. Socio-demographic Profile: This section presents a comprehensive array of variables including gender, age stratification, educational attainment, marital status, income brackets, occupational categories, geographical areas of motorcycle usage, licensing information, motorcycle engine specifications, typical riding schedules, daily riding durations, cumulative riding experience, and self-assessed proficiency in traffic regulations.

2. Risk Factors and Outcomes (6-month retrospective):
a) Traffic Violations: Quantified on a frequency scale ranging from "Never" to "Over 2 times"
b) Accident Occurrences: Documented both in terms of incidence and frequency
c) Injury Severity: Categorized on a spectrum from "Never" to "Moderate injuries requiring hospitalization for observation"

3. Unsafe Riding Behaviors: This section comprises an extensive 39-factor assessment of various risky riding practices. Respondents were asked to quantify their engagement in each behavior using a 6-point Likert scale, where 1 signifies "never" and 6 indicates "always", allowing for a granular analysis of behavior frequency.

This dataset offers a rich resource for researchers, policymakers, and road safety advocates, providing detailed insights into the complex landscape of motorcycle safety in Thailand.