College of Transportation Engineering, Chang'an University, Xi'an, China.
Hebei Zhangjiakou Municipal Development and Construction Holding Group, Zhangjiakou, China.
Front Public Health. 2022 Oct 6;10:974488. doi: 10.3389/fpubh.2022.974488. eCollection 2022.
Online food delivery (OFD) is one of the top industries in the Online-to-offline (O2O) commerce sector. Deliverymen need to complete a large number of delivery orders in limited default time every day, which cause high working stress to them. Therefore, a high level of traffic violations and crashes by deliverymen and corresponding negative impact on public safety are observed. To reduce traffic violations by deliverymen and resulting crashes, a hierarchical online food delivery framework is proposed, which is based on data from questionnaire surveys conducted in Xi'an City, China. The study includes the analysis of the root cause correlated with traffic violations during online food delivery as part of an empirical study on the priority delivery fee by applying a conditional price sensitivity measurement (PSM) model. The feasibility and rationality of the framework are further investigated by using cross analysis of urban dwellers' occupation, income, and commuting cost. The results identify that, through rationally shunting the demand of online food delivery, prolonging the default delivery duration, and providing diversified delivery services, the proposed hierarchical online food delivery mechanism is able to relieve the stress of deliverymen during peak hours of food requests. This reduces the willingness of deliverymen to engage in traffic violations, and other risky behaviors during food delivery trips. All of which facilitate high-quality and timely online food delivery service while enabling improved safety of deliverymen and others as part of enhanced public safety and health.
在线食品配送（OFD）是在线到离线（O2O）商务领域的顶级行业之一。送货员每天需要在有限的默认时间内完成大量的送货订单，这给他们带来了很高的工作压力。因此，观察到送货员的交通违法行为和事故发生率很高，对公共安全造成了相应的负面影响。为了减少送货员的交通违法行为和由此导致的事故，提出了一个分层的在线食品配送框架，该框架基于在中国西安市进行的问卷调查数据。该研究包括分析与在线食品配送期间交通违法行为相关的根本原因，作为应用条件价格敏感性测量（PSM）模型对优先配送费进行实证研究的一部分。通过对城市居民的职业、收入和通勤成本的交叉分析，进一步研究了该框架的可行性和合理性。结果表明，通过合理分流在线食品配送的需求、延长默认的配送时间和提供多样化的配送服务，所提出的分层在线食品配送机制能够缓解高峰时段食品需求期间送货员的压力。这降低了送货员在送餐过程中从事交通违法行为和其他危险行为的意愿。所有这些都有利于高质量和及时的在线食品配送服务，同时提高了送货员和其他人的安全性，加强了公共安全和健康。
