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Designing pricing and compensation schemes by integrating matching and routing models for crowd-shipping systems

机译:通过为人群运输系统集成匹配和路由模型来设计定价和补偿方案

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摘要

This paper's objective is to identify pricing and compensation schemes under different demand and supply scenarios for crowd-shipping (CS) systems. As such, an integrated framework of matching and routing models have been developed. A routing strategy is established to estimate for distances that couriers need to travel for picking up and delivering packages. A matching model is developed to assign crowd-shipping customers (i.e. senders) to couriers and to maximize the CS platform providers' benefits. Four different schemes of pricing and compensation are developed and evaluated. CS firms are noticed to have the highest profits when apply the 'individual' pricing and compensation schemes. The platform provider's profits are found more sensitive with the increase of willingness to pay (WTP) than the rise of expected to-be-paid (ETP). The insights are helpful for CS firms to attract and retain customers and couriers in the system, by setting up optimal prices and optimal compensations based on demand and supply levels as well as the firms' expected profits and platform-users' presuming surplus.
机译:本文的目的是确定人群运输(CS)系统的不同需求和供应方案下的定价和补偿计划。因此,已经开发出匹配和路由模型的综合框架。建立路由策略来估计,以估计快递者需要旅行拾取和交付包裹的距离。开发了一个匹配模型,以将人群运输客户(即发件人)分配给快递者,并最大限度地提高CS平台提供商的福利。开发和评估了四种不同的定价方案和补偿方案。当应用“个人”定价和补偿计划时,CS公司的利润最高。平台提供商的利润与增加支付意愿(WTP)的利润比预期的待支付(ETP)的增加更敏感。通过建立基于需求和供应水平的最佳价格和最佳补偿,洞察力在系统中吸引和留住客户和快递员,有助于吸引和留住该系统的客户和快递器。

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