Contributing factors to near-miss experiences of motorcyclists in Thailand: A random parameter probit model approach

Jomnonkwao, Sajjakaj; Champahom, Thanapong; Se, Chamroeun; Hantanong, Natthaporn; Ratanavaraha, Vatanavongs

doi:10.1016/j.heliyon.2023.e22625

Cited by 2 publications

(2 citation statements)

References 53 publications

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“…Studies on factors influencing motorcycle accidents have identified economic and social factors as well as driving behaviors, including gender, age, possession of a driver's license, driving experience, motorcycle ownership, alcohol consumption, sleep medication use, speed, helmet use, and risky behaviors [34][35][36][37]. The study on risky behaviors contributing to near-misses involving motorcycles specifies that road and environmental factors have a significant impact on near-miss frequency [38]. These factors may contribute to near-miss incidents or collisions resulting in injuries or fatalities.…”

Section: Motorcycle Rider Behavior Questionnaire (Mrbq)mentioning

confidence: 99%

Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas

Jomnonkwao,

Hantanong,

Champahom

et al. 2023

Safety

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Preventing near-miss incidents is considered a proactive measure, as it aims to prevent events that have a risk of resulting in accidents. This is regarded as a vital component of building a sustainable and secure society within communities. In the present day, low- and middle-income countries (LMICs) often experience the highest fatality rates from motorcycle accidents, which frequently involve mixed traffic scenarios with other vehicles. The distinct physical characteristics and environmental conditions of roads in urban and rural areas significantly contribute to different riding behaviors. Therefore, the objective of this study is to develop a behavioral model related to near-miss incidents among motorcycle riders in both urban and rural regions using multi-group structural equation modeling (SEM). Data collected from six Thai regions via adapted MRBQ assessed control errors, violations, and safety equipment use in a sample of 2002 riders (1066 urban, 936 rural). Through parameter invariance testing, differences in factor loadings, intercepts, and structural paths were identified between urban and rural areas. All three of these factors significantly influenced near-miss incidents among motorcycle riders in both urban and rural areas. The policy recommendations resulting from this study can contribute to enhancing safety measures for motorcycle riders.

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Section: Motorcycle Rider Behavior Questionnaire (Mrbq)mentioning

confidence: 99%

Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas

Jomnonkwao,

Hantanong,

Champahom

et al. 2023

Safety

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“…These findings resonate with the outcomes of the current study. Additionally, another study by Jomnonkwao et al [100] identified factors leading to near-miss incidents, encompassing road factors (e.g., road surface, number of traffic lanes, speed limit), environmental factors (e.g., driving at night), and driver factors (e.g., using a phone while driving). Therefore, control errors, recognized as the most influential factor effecting near-miss incidents, pertain to unintentional mistakes or misjudgments made by motorcycle riders in managing their vehicles.…”

Section: Comparing Factors Influencing Near Miss Incidents Between Yo...mentioning

confidence: 99%

Assessing the Self-Report Instruments of Younger Versus Older Riders Involved in Near-Miss Motorcycle Incidents

Hantanong,

Jomnonkwao,

Champahom

et al. 2024

Civ Eng J

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Road accidents pose severe and pervasive consequences, especially in low- and middle-income countries (LMICs), where both the population and fatal accidents among youth and the elderly are steadily increasing. Therefore, this study aims to develop a model for risky behavior in near-miss incidents among motorcycle riders in Thailand. It intends to compare models between younger and older riders utilizing structural equation modeling (SEM) with a multi-group approach. The data were examined employing modified instruments derived from the Motorcycle Rider Behavior Questionnaire (MRBQ). Samples depicting risky riding behavior were obtained from both younger and older rider groups. Parameter invariance testing revealed differences between the two groups. Control errors notably emerged as the predominant factor contributing to near-miss incidents for both age groups. Speeding was identified as the primary concern for the younger group, while adverse weather conditions were deemed crucial for the older group. Based on this study, policy recommendations endorse the creation of targeted training programs for novice riders, emphasizing adherence to legal speed limits and the adoption of safe riding practices. Additionally, the study underscores the importance of preparing riders, especially those in the older age group, for adverse weather conditions. Doi: 10.28991/CEJ-2024-010-02-019 Full Text: PDF

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Contributing factors to near-miss experiences of motorcyclists in Thailand: A random parameter probit model approach

Cited by 2 publications

References 53 publications

Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas

Analyzing Near-Miss Incidents and Risky Riding Behavior in Thailand: A Comparative Study of Urban and Rural Areas

Assessing the Self-Report Instruments of Younger Versus Older Riders Involved in Near-Miss Motorcycle Incidents

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