Crowd-shipping delivery performance from bidding to delivering
Crowd-shipping delivery performance from bidding to delivering
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DOI：
10.1016/j.rtbm.2020.100614
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发表时间：
2021-12-14
影响因子：
4.8
通讯作者：
Stathopoulos, Amanda
中科院分区：
文献类型：
--
作者：
Ermagun, Alireza;Stathopoulos, Amanda
众包运输是一种创新的交付模式，使用数字平台，利用过剩的运输能力和来自人群的司机，将货物需求与供应相匹配。这种共享经济交付概念吸引了越来越多的关注，以解决城市商品交付的紧迫挑战。由于有限的数据可用性和运营透明度，人们对众包平台的实际表现知之甚少。一个特别的挑战是，交付结果的一部分是在平台的数字空间中确定的，与投标和供需匹配有关，然后是现实世界的交付操作，通常由非专业的快递员执行。本文首次全面分析了从投标阶段到货物验收、取货和最终交付的整个群体运输过程。使用应用于16，850个众包交付实例的独特美国国家数据库的参数风险模型，我们研究了哪些因素在交付过程的每个阶段中发挥作用。研究结果表明，运输请求和包裹，建筑环境和社会经济特征对每个交付阶段都有不同的影响。特别是，在早上或晚上的时间和企业对消费者的发货大大加快了数字化阶段，但对最终交付阶段没有影响。此外，结果显示，性能损失发生在平台过程中的不均匀，与数字发布和投标相关的交付率损失更显着。在协商拾取安排时从数字递送转换为真实的递送时，递送速度性能的更大损失发生。众包公司将从研究中受益，以改善其基于点对点的机制的管理。
Crowd-shipping is an innovative delivery model using digital platforms to match the demand for shipments with supply using excess transport capacity and drivers from the crowd. This sharing economy delivery concept has attracted growing attention to address the pressing challenges of urban goods deliveries. Little is known about the actual performance of crowd-shipping platforms due to limited data-availability and operational transparency. A particular challenge is that part of the delivery outcome is determined in the platform's digital space related to bidding and matching of supply and demand, followed by a real-world delivery operation, typically carried out by non-expert couriers. This paper provides the first comprehensive analysis of the entire crowd-shipping process from the bidding stage, through shipment acceptance, pickup, and final delivery. Using parametric hazard modeling applied to a unique U.S. national database of 16,850 crowd-shipping delivery instances, we examine which factors play a role in each phase of the delivery process. The findings illustrate that shipping requests and packages, built environment, and socioeconomic characteristics have a variable impact on each delivery stage. In particular, posting in the morning or evening hours and for business-to-consumer shipments significantly accelerates the digital phase, but has no effects on the final delivery phase. Moreover, the results reveal that performance loss occurs non-uniformly in the platform process, with a more significant loss in delivery rates related to the digital posting and bidding. A more substantial loss of delivery speed performance occurs in converting from digital to real delivery in negotiating the pickup arrangement. Crowd-shipping companies will benefit from the research to improve the management of their peer-to-peer-based mechanism.