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Supply and demand matching model of P2P sharing accommodation platforms considering fairness
Electronic Commerce Research ( IF 3.7 ) Pub Date : 2020-10-23 , DOI: 10.1007/s10660-020-09437-w
Li Xiong , Chengwen Wang , Zhaoran Xu

Due to the continuous expansion of sharing economy, the diversification of users and the heterogeneity of resources and needs on P2P platform are speeding up, which makes it difficult to match the supply and demand of P2P platform effectively. Therefore, how to achieve effective matching between service providers and customers in an increasingly complex market is a question worthy of study. In order to achieve more effective matching of heterogeneous resources and requirements, this paper focuses on P2P sharing accommodation platform, advances a theoretical framework of fair matching and builds a matching model which considering fairness. First, we analyze the transaction mode of P2P sharing accommodation platform, proposed the framework of fair matching based on preferences consistency and fairness of matching. Second, we build a matching model based on fair matching, to maximize the consistency of preference and minimize the difference between supply and demand, the fair matching framework deals with heterogeneous resources and needs by matching diversified preferences. Finally, the effectiveness and feasibility of the strategy are verified by example and sensitivity analysis. This strategy provides optimization ideas for the matching issue of P2P sharing accommodation.



中文翻译:

考虑公平的P2P共享住宿平台供需匹配模型

由于共享经济的不断发展,P2P平台上用户的多样化以及资源和需求的异质性正在加速,这使得P2P平台的供求难以有效匹配。因此,如何在日益复杂的市场中实现服务提供商与客户之间的有效匹配是一个值得研究的问题。为了实现异构资源和需求的更有效匹配,本文以P2P共享住宿平台为重点,提出了公平匹配的理论框架,建立了考虑公平的匹配模型。首先,我们分析了P2P共享住宿平台的交易模式,提出了基于偏好一致性和匹配公平性的公平匹配框架。第二,我们建立了一个基于公平匹配的匹配模型,以最大化偏好的一致性并最小化供需之间的差异,公平匹配框架通过匹配多样化的偏好来处理异构资源和需求。最后通过实例和敏感性分析验证了该策略的有效性和可行性。该策略为P2P共享适应的匹配问题提供了优化思路。

更新日期:2020-10-30
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