Development of Self-Assessment Indicators for Motorcycle Riders in Thailand: Application of the Motorcycle Rider Behavior Questionnaire (MRBQ)

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.

Risk Factors Related to Road Traffic Accidents in Phuket Province, Southern Thailand: a Confirmatory Factor Analysis

“…The findings of this study clearly show that the underlying significant factors affecting traffic accidents were risky driving behavior, followed by unsafe environmental, and vehicle conditions. The vital factors involved in occurrence of incidents were human, vehicles, and environment, of which the contribution of human factors was 95%, road and environment 28%, and vehicles 8% (Evans, 2012;Zhang, 2019;Uttra et al, 2020). This result also agrees with prior studies (Shinar, 2007;Petridou & Moustaki, 2000;Sasfarzadeh & Pooryari, 2006;Hijar et al, 2000).…”

“…Numerous studies have focused on the factors influencing personal behavior for accident prevention, and have indicated that gender, age, driving experience and marital status etc. are significantly associated with safe driving (Uttra et al, 2020;Aden, 2019;Helal, et al, 2018;Zhang, et al, 2013). Risky behavior is a direct cause of road accidents, such as drunk driving, speeding, mobile phone use while driving, and motorbike rider not wearing a helmet, etc.…”

Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling

“…The MRBQ has been widely used in studies of motorcycle riding behavior, such as Özkan, et al [27]. Uttra, et al [28] developed the MRBQ as an assessment tool for the riding behavior of Thai people, consisting of 26 questions for four factors: traffic errors, control errors, stunts, and safety equipment. We selected these four factors to further study the motivating theory of behavioral practice in structural equation modeling.…”

Motorised two-wheeler Rider Behaviour Questionnaire: State of the Art

“…Riders without near-miss and crash experience reported fewer traffic violations than those who had experienced (Stephens et al, 2017). Traffic errors were the most common cause of blunders or poor decisions when riding the MTW (Uttra et al, 2020). Their offence rates, crash, and near-miss crash rates increase by more than 20% for every one-unit increase in traffic errors.…”