Assessing Risky Riding Behaviors Among Food Delivery Motorcyclists in Thailand: Insights from the Motorcycle Rider Behavior Questionnaire and Health Belief Model

Background: Food delivery motorcyclists face unique risks that often lead to risky riding behaviors. Thailand, with one of the highest rates of motorcycle-related injuries and fatalities globally, has seen a surge in food delivery services following the COVID-19 pandemic, increasing the number of motorcyclists on the roads. Delivery motorcyclists are especially vulnerable due to frequent exposure to traffic congestion, time pressures, and adverse weather. This study aims to identify key health beliefs and external factors contributing to risky riding behaviors among food delivery motorcyclists in Thailand. Methods: The study surveyed 2000 food delivery motorcyclists across five regions in Thailand, employing the Motorcycle Rider Behavior Questionnaire and the Health Belief Model. Structural equation modeling was used to analyze the relationships between health beliefs and risky riding behaviors. Results: The analysis revealed that health motivation, perceived susceptibility, perceived severity, perceived benefits, and cues to action were negatively associated with risky riding behaviors. Conversely, perceived barriers positively influenced these behaviors. Fatigue and aggressive riding were significant predictors of increased risky behaviors at the 0.001 level. Conclusions: Addressing individual health beliefs and external factors like fatigue and aggression is essential for reducing risky riding behaviors and preventing severe injuries.

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Publication Details

Journal
Logistics
Published
2024-12-03
DOI
https://doi.org/10.3390/logistics8040125
Citations
10
Primary Topic
Agriculture and Farm Safety
Type
article
Field-Weighted Citation Impact
6.00

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article

Assessing Risky Riding Behaviors Among Food Delivery Motorcyclists in Thailand: Insights from the Motorcycle Rider Behavior Questionnaire and Health Belief Model

Chamroeun Se, Supanida Nanthawong, Thanapong Champahom, Panuwat Wisutwattanasak et al.
10 citations
Logistics
Agriculture and Farm Safety
6.00
article

Assessing Risky Riding Behaviors Among Food Delivery Motorcyclists in Thailand: Insights from the Motorcycle Rider Behavior Questionnaire and Health Belief Model

Chamroeun Se, Supanida Nanthawong, Thanapong Champahom, Panuwat Wisutwattanasak, Vatanavongs Ratanavaraha, Sajjakaj Jomnonkwao, Wimon Laphrom
article en
10 citations

Abstract

Background: Food delivery motorcyclists face unique risks that often lead to risky riding behaviors. Thailand, with one of the highest rates of motorcycle-related injuries and fatalities globally, has seen a surge in food delivery services following the COVID-19 pandemic, increasing the number of motorcyclists on the roads. Delivery motorcyclists are especially vulnerable due to frequent exposure to traffic congestion, time pressures, and adverse weather. This study aims to identify key health beliefs and external factors contributing to risky riding behaviors among food delivery motorcyclists in Thailand. Methods: The study surveyed 2000 food delivery motorcyclists across five regions in Thailand, employing the Motorcycle Rider Behavior Questionnaire and the Health Belief Model. Structural equation modeling was used to analyze the relationships between health beliefs and risky riding behaviors. Results: The analysis revealed that health motivation, perceived susceptibility, perceived severity, perceived benefits, and cues to action were negatively associated with risky riding behaviors. Conversely, perceived barriers positively influenced these behaviors. Fatigue and aggressive riding were significant predictors of increased risky behaviors at the 0.001 level. Conclusions: Addressing individual health beliefs and external factors like fatigue and aggression is essential for reducing risky riding behaviors and preventing severe injuries.

LogisticsVol. 8(4)
Rajamangala University of Technology Isan (TH), Suranaree University of Technology (TH)
Suranaree University of Technology
Good health and well-being
Openalex Percentile: Top 4%
Agriculture and Farm Safety
6.00
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