Supply and demand matching model of P2P sharing accommodation platforms considering fairness

Abstract

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.

Solutions for the commercialization challenges of Horizon Europe and earth observation consortia: co-creation, innovation, decision-making, tech-transfer, and sustainability actions

“…Because of the increasing importance of the sharing economy, the optimization of P2P models is becoming increasingly important [59,61,93]. Zopa launched one of the first P2P financial platforms in the financial sector in 2005.…”

Simulation of Impact of Resource Competition on Shared Resource Utilisation

“…He and Qian [12] proposed a resource matching strategy based on multi-attribute matching between cloud resources and tasks. Xiong et al [13] proposed a fair matching framework for P2P shared accommodation platforms based on preference consistency and resource compatibility. However, all these research is focusing on the business matching stage (Fig.…”

Typology of digital platforms in shared economy

“…Данная система учитывает разнородные ресурсы и потребности путем сравнения диверсифицированных предпочтений. Эффективность и осуществимость такой стратегии проверяются на анализе чувствительности платформы к спросу потребителей (Xiong et al, 2020).…”

“…При расшифровке применяемых ресурсов в скобках выделены основные области экономической деятельности, соответствующие ресурсному обеспечению цифровых платформ долевой экономики: информационное обеспечение туризма, медицинских услуг; материальное обеспечение аренды жилья, оборудования и продаж подержанных вещей; финансовое обеспечение инвестиций; трудовое обеспечение работы и обучение трудовых кадров. ЦП аренды жилья (Gerwe, Silva, Castro, 2020) ЦП краудлендинга (Popov, Fedoreev, Veretennikova, 2021) ЦП коворкинга (Durante, Turvani, 2018) C2C (P2P) ЦП обмена (Styven, Mariani, 2020) ЦП совместного размещения (Xiong, Wang, Xu, 2020) ЦП краудфандинга (Chandna, 2022) ЦП совместного обучения (Stofberg et al, 2021) Источник: составлено авторами Данные табл. 3 демонстрируют наличие различных типов цифровых платформ долевой экономики, структурированных по видам применяемых ресурсов и уровням взаимодействия между участниками.…”