Abstract

The purposes of this research are (1) to create a motorcycle riding behavior measurement model for a Thai population by Motorcycle Rider Behavior Questionnaire (MRBQ) modification with exploratory factor analysis (EFA); (2) to verify the measurement model by second-order confirmatory factor analysis (second-order CFA); and (3) to define the guidelines of the self-assessment report for Thai people in terms of riding motorcycles. Collected data were distributed among four areas: metro-municipalities, municipalities, district municipalities, and non-municipalities from five regions. The sample consisted of 1516 motorcycle riders who were at least 20 years old. Of these riders, 91.4% had motorcycle riding licenses, 84.4% had over five years of experience in motorcycle riding, 75.5% used a motorcycle to go to work/study, and 82.1% used a helmet sometimes. Exploratory factor analysis (EFA) and second-order confirmatory factor analysis (second-order CFA) were used for measurement model creation. The results presented 26 indicators that were confirmed to compose the motorcycle riding behavior of Thai people at a statistical significance level of α = 0.05; these were separated into four factors, namely, traffic error, control error, stunts, and safety equipment. The results of this MRBQ study can inform future study of the motorcycle riding behavior of Thai people.

Highlights

  • Following Africa, the Southeast Asia region has the second-highest death rate from road accidents at a rate of 20.7 people per 100,000

  • The study results showed that this basic information on motorcycle riders can be utilized as a development and improvement guideline for different age groups of motorcycle riders

  • We aimed to define the guidelines of a self-assessment report for Thai people in terms of their motorcycle riding

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Summary

Introduction

Following Africa, the Southeast Asia region has the second-highest death rate from road accidents at a rate of 20.7 people per 100,000. In the study of factors influencing rider behavior, the Motorcycle Rider Behavior Questionnaire (MRBQ) has been widely utilized to analyze motorcycle riding behavior and specify risky behavior that leads to accidents. The purpose of this research is to create a motorcycle riding behavior measurement model for a Thai population by MRBQ modification with exploratory factor analysis (EFA), to verify the measurement model by second-order confirmatory factor analysis (second-order CFA), and to define guidelines for a self-assessment report for a Thai population in terms of riding motorcycles.

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