Analysis of Young Drivers’ Confidence and Behaviour: Binary Logistic Regression Approach

• 出版年: Journal of South Asian Logistics and Transport
• 主要な著者: Niranga Amarasingha, S. M. Chandrasiri
• フォーマット: 論文
• 言語: 英語
• 出版事項: Sri Lanka Society of Logistics & Transport (SLSTL) 2025-03-01
• 主題: young drivers; driving confidence; driving behaviour; crash risk; binary logistics regression analysis
• オンライン･アクセス: https://jsalt.sljol.info/articles/99/files/67e63d80bf3a9.pdf
• ISSN: 2783-8897; 2783-8676

Road crashes are a global concern, and they disproportionately affect younger drivers due to their inexperience and risk-taking behaviour. In Sri Lanka, the higher risk of traffic crashes among younger drivers underscores the need for researchers to study their driving confidence and behaviour. Such research could help mitigate the risks of future crashes. This research surveyed 400 young adults using a paper-based questionnaire to assess their confidence in various driving conditions: daytime, peak hours, nighttime, rainy weather, and hilly roads. It also examined risky behaviour such as smoking while driving, driving under the influence of alcohol, using a phone, and making illegal U-turns. The analysis employed Cronbach's Alpha reliability statistics, inter-item correlation, and Binary Logistic Regression (BLR) modelling. Participants' opinions on the Sri Lankan driving license process revealed that 16% rated it as good, 25% as average, and 59% as bad. Findings highlighted that increasing young drivers' confidence during nighttime and high-traffic congestion conditions reduces the likelihood of crashes. Confidence during nighttime and rainy conditions, along with perceptions of the licensing process, significantly influence crash involvement. Furthermore, risky manoeuvres, like overtaking in restricted areas, increase crash risk. The study highlights the importance of improving driver education and fostering safer behaviour to enhance road safety among young drivers in Sri Lanka.