Exploring the factors affecting electric bicycle riders' working conditions and crash involvement in Ningbo, China

IF 7.4 2区 工程技术 Q1 ENGINEERING, CIVIL Journal of Traffic and Transportation Engineering-English Edition Pub Date : 2023-08-01 DOI:10.1016/j.jtte.2021.12.006
Jibiao Zhou , Ying Shen , Yanyong Guo , Sheng Dong
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Abstract

The rapid development of the delivery industry brings convenience to modern society. However, the high rates of crashes and the survival of electric bicycle (e-bike) riders in the delivery industry raise concerns. The primary objective of this study is to explore the factors affecting delivery e-bike riders' stressful work pressure and crash involvement in China. Data were collected by a questionnaire survey administered in the city of Ningbo, China. A bivariate ordered probit (BOP) model was developed to simultaneously examine the factors associated with both the working conditions of delivery e-bike riders and their involvement in crashes. The marginal effects for the contributory factors were calculated to quantify their impacts on the outcomes. The results showed that the BOP model can account for commonly unobserved characteristics of the working conditions and crash involvement of delivery e-bike riders. The BOP model results showed that the stressful working conditions of delivery e-bike riders were affected by the number of orders and delivery time and rider age and risky riding behaviors. Delivery rider involvement in crashes was affected by the number of orders, strength of the punishment for traffic violations, and familiarity with traffic regulations. It was also found that stressful working conditions and crash involvement were strongly and positively correlated. The findings of this study can enhance our understanding of the factors that affect the working conditions and delivery rider crash involvement. Based on the results, some suggestions regarding public policy, risky riding behaviors, safety promotion, and stronger corporate governance rules were discussed to increase the targeted safety-related interventions for delivery e-bike riders in Ningbo, China.

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宁波市电动自行车驾驶员工作条件及碰撞事故影响因素探讨
快递业的快速发展给现代社会带来了便利。然而,快递行业的高撞车率和电动自行车骑手的生存引发了人们的担忧。本研究的主要目的是探讨影响中国电动自行车骑手工作压力和撞车事故的因素。数据是通过在中国宁波市进行的问卷调查收集的。开发了一个双变量有序probit(BOP)模型,以同时检查与电动自行车骑手的工作条件和他们参与车祸的相关因素。计算促成因素的边际效应,以量化其对结果的影响。结果表明,BOP模型可以解释送货电动自行车骑手的工作条件和碰撞参与的常见未观察到的特征。BOP模型结果显示,送货电动自行车骑手的压力工作条件受到订单数量、送货时间、骑手年龄和危险骑行行为的影响。快递骑手参与车祸受到订单数量、交通违法处罚力度以及对交通法规的熟悉程度的影响。研究还发现,紧张的工作条件和车祸的发生呈正相关。这项研究的结果可以增强我们对影响工作条件和送货骑手撞车事故的因素的理解。基于研究结果,讨论了一些关于公共政策、风险骑行行为、安全促进和更强有力的公司治理规则的建议,以增加对中国宁波送货电动自行车骑手的有针对性的安全相关干预。
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来源期刊
CiteScore
13.60
自引率
6.30%
发文量
402
审稿时长
15 weeks
期刊介绍: The Journal of Traffic and Transportation Engineering (English Edition) serves as a renowned academic platform facilitating the exchange and exploration of innovative ideas in the realm of transportation. Our journal aims to foster theoretical and experimental research in transportation and welcomes the submission of exceptional peer-reviewed papers on engineering, planning, management, and information technology. We are dedicated to expediting the peer review process and ensuring timely publication of top-notch research in this field.
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