The fast-growing practice of e-commerce implies a strong increase in the urban parcel delivery, which in turn creates significant pressure on last-mile city logistics. Because the crowdsourced delivery offers greater flexibility and requires less capital investment than traditional delivery methods, it has been playing a more crucial role when faced with the growing demand for the urban parcel delivery. With the increasing maturity of the crowdsourced delivery and the fierce competition among platforms, the evaluation of different crowdsourcing modes for the urban parcel delivery becomes important. This study proposes six mathematical models to evaluate different operation modes of the crowdsourced delivery in a quantitative way. Several realistic factors, such as the latest service time for each task, task cancellation rate and range distribution of tasks, are also analyzed in this paper. Numerical experiments are conducted to validate the effectiveness of the proposed models and to analyze the impact of different modes. Some managerial implications are also outlined on the basis of the numerical experiments and sensitivity analysis to help crowdsourced companies to make scientific decisions.

电子商务的快速发展意味着城市包裹的运送量大大增加，这反过来给最后一英里的城市物流带来了巨大的压力。由于与传统的交付方式相比，众包交付具有更大的灵活性，并且所需的资金投入也更少，因此，面对日益增长的城市包裹交付需求，它一直扮演着更为关键的角色。随着众包交付方式的日趋成熟和平台之间的激烈竞争，对于城市包裹交付的不同众包模式的评估变得越来越重要。这项研究提出了六个数学模型，以定量方式评估众包交付的不同操作模式。几个现实因素，例如每个任务的最新服务时间，还分析了任务取消率和任务范围分布。进行了数值实验，以验证所提出模型的有效性并分析不同模式的影响。在数值实验和敏感性分析的基础上，还概述了一些管理意义，以帮助众包公司做出科学决策。