Sharing logistics platform can effectively realize the sharing of idle logistics resources and maximize the utility of logistics resources utilization by publishing and matching the supply and demand information of logistics resource. For sharing logistics platform, subsidy strategy plays a significant role in winning market competition. Therefore, how to establish an effective subsidy scheme is a burning issue. By analyzing the problems in the transaction orders of drivers and consignor on the sharing logistics platform, this paper estimates the subsidy strategy on the following three aspects: (1) establish a dynamic model of freight supply and demand matching according to the freight cost and determine the impact of different subsidy policies on the platform usage; (2) evaluate the solution of different subsidy policies to the matching problem of vehicles and goods, and determine the optimal subsidy scheme based on the evaluation results; (3) establish the subsidy model based on platform maximum benefit and social welfare optimization and analyze a practical case of "Huochebang" (a Sharing logistics platform). The analysis results show that the model constructed in this paper can be well applied to the subsidy problem of sharing logistics platform and assist the platform to establish the most suitable subsidy policy to achieve the optimal economic benefits.

共享物流平台可以通过发布和匹配物流资源的供求信息，有效地实现闲置物流资源的共享，最大限度地利用物流资源。对于共享物流平台，补贴策略在赢得市场竞争中起着重要作用。因此，如何建立有效的补贴方案是一个亟待解决的问题。通过分析共享物流平台上驾驶员和托运人的交易订单中存在的问题，本文从以下三个方面对补贴策略进行了估计：（1）根据货运成本建立货运供需匹配的动态模型并确定不同的补贴政策对平台使用的影响；（2）评估针对车辆和货物匹配问题的不同补贴政策的解决方案，并根据评估结果确定最优补贴方案；（3）建立基于平台最大收益和社会福利优化的补贴模型，并分析“后车帮”（共享物流平台）的实际案例。分析结果表明，本文构建的模型可以很好地应用于物流共享平台的补贴问题，并协助该平台建立最合适的补贴政策，以实现最优的经济效益。