Dynamic Pricing and Logistics Service Decisions for Crowd Logistics Platforms with Social Delivery Capacity

With the development of sharing economy, more and enterprises choose crowd logistics for distribution. Because platform uses social freelancers, service quality is difficult to guarantee. Considering reward-penalty mechanism, dynamic differential game models are constructed study optimal pricing services under stochastic demand based on control theory Pontryagin maximum principle. The numerical simulation results show that decisions change with fluctuation dynamically. Furthermore, needs adjust value factor ensure level revenue in different situations.