Faculty of Transport - Economics, University of Transport and Communications, Hanoi, Vietnam.
Faculty of Road and Bridge Engineering, University of Science and Technology, The University of Danang, 54 Nguyen Luong Bang Street, Lien Chieu District, Danang City, Vietnam.
Accid Anal Prev. 2024 Jul;202:107538. doi: 10.1016/j.aap.2024.107538. Epub 2024 May 3.
Using mobile phones while riding is a form of distracted riding that significantly elevates crash risk. Regrettably, the factors contributing to mobile phone use while riding (MPUWR) among food delivery riders remain under-researched. Addressing this literature gap, the current study employs the Job Demands-Resources (JD-R) model and various socio-economic factors to examine the determinants of MPUWR. The research incorporates data from 558 delivery workers in Hanoi and Ho Chi Minh City, Vietnam. The study utilizes two analytical methods to empirically test the hypotheses, considering non-linear relationships between variables: Partial Least Square Structural Equation Modelling (PLS-SEM) and Artificial Neural Network (ANN). The results reveal mixed impacts of factors connected to job resources. Although social support appears to deter MPUWR, work autonomy and rewards seemingly encourage it. Furthermore, a predisposition towards risk-taking behaviour significantly impacts the frequency of mobile phone usage among delivery riders. Interestingly, riders with higher incomes and those who have previously been fined by the police exhibit more frequent mobile phone use. The findings of this study present valuable insights into the crucial factors to be addressed when designing interventions aimed at reducing phone use among food delivery riders.
在骑行时使用手机是一种分散注意力的骑行方式，会显著增加事故风险。遗憾的是，送餐骑手在骑行时使用手机（MPUWR）的因素仍未得到充分研究。为了解决这一文献空白，本研究采用工作要求-资源（JD-R）模型和各种社会经济因素来研究 MPUWR 的决定因素。该研究纳入了来自越南河内和胡志明市的 558 名外卖工人的数据。研究采用两种分析方法来实证检验假设，考虑到变量之间的非线性关系：偏最小二乘结构方程建模（PLS-SEM）和人工神经网络（ANN）。研究结果显示，与工作资源相关的因素的影响是混合的。虽然社会支持似乎可以阻止 MPUWR，但工作自主性和奖励似乎会鼓励它。此外，冒险行为的倾向会显著影响外卖骑手使用手机的频率。有趣的是，收入较高的骑手和那些曾被警察罚款的骑手更频繁地使用手机。这项研究的结果为设计旨在减少外卖骑手手机使用的干预措施提供了有价值的见解，这些措施需要针对关键因素进行解决。
