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Determinants influencing students motorcycle travel among universitys and colleges : A hierarchical multiple regression analysis integrating MRBQ and T-LOC |
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| รหัสดีโอไอ | |
| Creator | Savalee Uttra |
| Title | Determinants influencing students motorcycle travel among universitys and colleges : A hierarchical multiple regression analysis integrating MRBQ and T-LOC |
| Contributor | Piyanat To-on, Arjaree Saengsathien, Ratchada Taengphukieo, Nattanan Nitisiri |
| Publisher | Mahasarakham University |
| Publication Year | 2569 |
| Journal Title | Journal of Science and Technology Mahasarakham University |
| Journal Vol. | 45 |
| Journal No. | 2 |
| Page no. | 274-286 |
| Keyword | Motorcycle, university and college students, hierarchical multiple regression, Traffic Locus of Control Scale (T-LOC), Motorcycle Rider Behavior Questionnaire (MRBQ) |
| URL Website | https://li01.tci-thaijo.org/index.php/scimsujournal |
| Website title | Journal of Science and Technology Mahasarakham University |
| ISSN | 1686-9664 (Print), 2586-9795(Online) |
| Abstract | Road accidents are influenced by multiple factors, including human behavior, vehicles, and environmental conditions.Notably, human factors contribute to approximately 95% of all cases, with motorcycles being the most frequentlyinvolved vehicle type. This study aimed to determine the factors influencing motorcycle travel behavior among students. The sample consisted of 650 student volunteers from universities and colleges in Kalasin Province, all of whom were capable of riding a motorcycle. Data were collected through a structured questionnaire incorporating the Motorcycle Rider Behavior Questionnaire (MRBQ), the Traffic Locus of Control Scale (T-LOC), and additional variables such as Mobile Phone use, Alcohol Consumption, use of Drowsiness-Inducing Medications, Motorcycle License Ownership, History of Traffic Violations, and Past Accident Involvement. Hierarchical Multiple Regression analysis was used to examine the relationships between these factors and Riding Behaviors. The results revealed that 75.7% of the students did not possess a motorcycle license, and all participants reported having violated traffic laws at least once. Further analysis showed that Mobile Phone use for Texting, Alcohol Consumption, and the Internal T-LOC factor (“Self”) significantly influenced the MRBQ. These included increases in “Traffic Errors”, “Speed Violations”, “Control Errors”, and “Stunts”, as well as a decrease in the use of “Safety Equipment”. These findings have significant implications for road safety policy and practice. Recommendations include stricter enforcement of motorcycle licensing requirements, banning mobile phone use while riding, promoting “don’t drink and ride” initiatives, and implementing expert-led road safety education programs. Educational institutions can integrate these findings into their strategic safety plans toimprove motorcycle safety among students. |
