Examining Risky Riding Behaviors: Insights from a Questionnaire Survey with Middle-Aged and Older Motorcyclists in Thailand

Author:

Sunmud Sayam1,Arreeras Tosporn12ORCID,Phonsitthangkun Suchada1,Prommakhot Sirin3,Sititvangkul Krit12

Affiliation:

1. School of Management, Mae Fah Luang University, Chiang Rai 57100, Thailand

2. Urban Safety Innovation Research Group, Mae Fah Luang University, Chiang Rai 57100, Thailand

3. Division of Sustainable and Environmental Engineering, Muroran Institute of Technology, Muroran 050-8585, Japan

Abstract

This research endeavors to achieve three primary objectives. Firstly, it seeks to develop a measurement model capable of assessing the motorcycle riding behavior of middle-aged individuals in Thailand. The construction of this model integrates the motorcycle rider behavior questionnaire (MRBQ) with statistical and descriptive analyses. Secondly, the research examines the accuracy of the measurement model using a factor analysis approach, comprising both exploratory and confirmatory factor analyses. Lastly, the study aims to furnish the people of Thailand with a set of guidelines for self-assessment of their motorcycle riding habits. The examination involves 399 middle-aged motorcycle riders aged 35 years or older, a significant majority of whom (81%) possess the requisite licenses for motorcycle operation, with the majority (83%) accumulating over a decade of riding experience. Through analysis, a set of 39 items capturing nuanced behaviors exhibited by middle-aged motorcyclists in Thailand is identified. These items are categorized into four distinct clusters: speed violations, control errors, traffic errors, and adherence to safety equipment protocols. The utilization of the MRBQ in this study holds significant importance, as it provides valuable insights into the riding practices of the Thai population. The resultant findings hold the potential to inform safety initiatives and strategies aimed at enhancing the overall motorcycle riding experience.

Funder

Research Administration Division of Mae Fah Luang University Research and Innovation Institute

Publisher

MDPI AG

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