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 How do lifestyle behaviours affect risky driving behaviors? a case study of app-based motorcycle taxi riders in Danang, Vietnam
Tác giả hoặc Nhóm tác giả: Vo Nhat Dinh Quang, Le Thanh Quang, Tran Phuong Anh Thi, Nguyen-Phuoc Quy Duy
Nơi đăng: PROCEEDING OF THE THIRD INTERNATIONAL CONFERENCE ON TRANSPORTATION INFRASTRUCTURE AND SUSTAINABLE DEVELOPMENT - TISDIC 2019; Số: ISBN: 978-604-82-2893-4;Từ->đến trang: 344-356;Năm: 2019
Lĩnh vực: Kỹ thuật; Loại: Bài báo khoa học; Thể loại: Quốc tế
TÓM TẮT
New technologies have introduced a number of new transport modes. An app-based motorcycle taxi service which has contributed to a rapid increase in travel demand, is one of them. However, the emergence of app-based motorcycle taxi riders is considered to contribute directly and indirectly to the high proportion of road traffic crashes through their risky riding behaviours. The correlations between unhealthy habits such as smoking and drink riding and other risky behaviours among motorcyclists have received less concern. The aim of this study, therefore, is to explore the effect of unhealthy lifestyle on risky riding behaviours among app-based motorcycle taxi riders. An online survey and field surveys were carried out to obtain information about app-based motorcycle taxi riders’ socio-demographics, work patterns and risky riding behaviours. More than 600 riders in Vietnam completed a structured questionnaire. Binary logistic regression modelling showed that riders who regularly smoked and drunk were more likely to engage in the risky behaviours of smoking while riding and drink riding (Adj. OR=18.61, p<0.001 and Adj. OR=9.02, p<0.01 respectively). The results also indicated that those who sometimes smoked cigarettes were more likely not to wear helmets when riding (Adj. OR=2.55, p<0.01). While smoking habits associated with two risky riding behaviours including smoking while riding and not wearing helmet, most surveyed risky riding behaviours were associated by drinking habits. Significant associations between smoke/drink riding and all other risky riding behaviourswere also found in this study. A better understanding of these relationships will help authorities and ride-hailing firms to improve safe riding behaviours among the riders.
ABSTRACT
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