Subsidy strategy of sharing logistics platform

补贴 匹配(统计) 方案(数学) 业务 产业组织 环境经济学 计算机科学 经济 数学分析 统计 数学 市场经济
作者
Yingzhen Cai,Lan Bai,Fan Jiang,Shi Yin
出处
期刊:Complex & Intelligent Systems [Springer Science+Business Media]
卷期号:9 (3): 2413-2428 被引量:6
标识
DOI:10.1007/s40747-021-00331-y
摘要

Abstract 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.

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