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A data-driven compensation scheme for last-mile delivery with crowdsourcing

2022; Elsevier BV; Volume: 150; Linguagem: Inglês

10.1016/j.cor.2022.106059

1873-765X

Miguel Barbosa, João Pedro Pedroso, Ana Viana,

Sharing Economy and Platforms

A recent relevant innovation in last-mile delivery is to consider the possibility of goods being delivered by couriers appointed through crowdsourcing. In this paper we focus on the setting of in-store customers delivering goods, ordered by online customers, on their way home. We assume that not all the proposed delivery tasks will necessarily be accepted, and use logistic regression to model the crowd agents' willingness to undertake a delivery. This model is then used to build a novel compensation scheme that determines reward values, based on the current plan for the professional fleet's routes and on the couriers' probabilities of acceptance, by employing a direct search algorithm that seeks to minimise the expected cost.