马来西亚信号路口快递员的危险行为

Q2 Social Sciences
Munirah Malik, R. Rusli, Fatin Najwa Mohd Nusa, Y. Adinegoro
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引用次数: 0

摘要

外卖骑手(即网约车骑手)的数量不断增加,导致涉及这一群体的交通事故数量增加。线上订单的高需求和配送时间的限制使得快递骑手在配送过程中出现了危险的骑行行为。因此,有必要在这一令人担忧的问题变得更严重之前对其进行研究。本研究旨在探讨信号交叉口送餐乘客危险行为的影响因素。2022年10月,在雪兰莪州的Subang Jaya进行了路边观察。共有19,803名快递员在两个信号T和两个交叉信号路口观察了四天。采用双变量分析(logistic回归)确定7种危险行为(未系好头盔、未穿鞋、侧后视镜设置不完整、闯红灯、使用手机、在停车线后停车和突然变道)与5个解释变量(星期几、时间、天气状况、十字路口类型和接近道路)之间的关系。结果显示,闯红灯和使用手机更容易发生在周末。晴朗的天气会增加闯红灯、使用手机和突然变道等危险行为。这项研究的发现对相关当局制定减少涉及送餐司机的撞车事故数量的计划是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RISKY BEHAVIOURS AMONG DELIVERY RIDERS AT SIGNALIZED INTERSECTIONS IN MALAYSIA
The increasing number of food delivery riders, known as P-hailing riders, has increased the number of traffic crashes involving this group. The high demand for online orders and delivery time constraints causes the delivery riders to engage in risky riding behaviours during delivery. Thus, there is a need to study this alarming problem before it becomes more serious. This study aims to determine factors influencing risky behaviours among delivery riders at signalized intersections. A roadside observation was conducted in the month of October 2022 at Subang Jaya, Selangor. A total of 19,803 delivery riders were observed for four days observations at two signalized T- and two cross-signalized intersections. A bivariate analysis (logistic regression) was applied to determine the relationship between seven risky behaviours (unfastened helmet, not wearing shoes, incomplete set of side mirrors, red light running, mobile phone use, stopping after stop lines, and abrupt lane change) with five explanatory variables including the day of the week, time of the day, weather condition, type of intersection and approach road. The result shows that red light running, and mobile phone use is more likely to occur during the weekend. Clear weather increases risky behaviours such as red light running, using a mobile phone, and abrupt lane changes. The findings of this study are useful as input to the related authorities in developing programs to decrease the number of crashes involving food delivery riders.
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来源期刊
Planning Malaysia
Planning Malaysia Social Sciences-Urban Studies
CiteScore
1.40
自引率
0.00%
发文量
68
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