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.

本文的目的是确定在不同的定价和补偿方案的需求和供给情景人群航运（CS）系统。这样，已经开发了匹配和路由模型的集成框架。建立了路由策略以估计快递员在领取和运送包裹时需要行进的距离。开发了一个匹配模型，以将众包客户（即发件人）分配给快递公司，并最大程度地提高CS平台提供商的利益。制定并评估了四种不同的定价和补偿方案。CS在采用“个人”定价和补偿方案时，公司会获利最高。人们发现，随着付款意愿（WTP）的增加，平台提供商的利润比预期的待付款（ETP）的增长更为敏感。通过基于需求和供应水平以及企业的预期利润和平台用户的假定盈余设定最优价格和最优补偿，这些见解对于CS公司吸引和保留系统中的客户和快递员很有帮助。