A Comprehensive Overview of Deep Learning for Algorithmic Pricing in Ride-Sharing Platforms

Autor:	Mioara Chirita, George Chirita
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	dynamic pricing sharing economy demand-supply fluctuations algorithmic pricing ride-sharing platforms Electronic computers. Computer science QA75.5-76.95 Economic theory. Demography HB1-3840 Economics as a science HB71-74
Zdroj:	Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, Vol 30, Iss 1, Pp 177-181 (2024)
Druh dokumentu:	article
ISSN:	15840409 1584-0409
DOI:	10.35219/eai15840409404
Popis:	This study extends the current scholarship on algorithmic pricing within the sharing economy. By leveraging the capabilities of deep learning, we seek to generate valuable knowledge for stakeholders in the ride-sharing domain, including platform operators, users, and policymakers. This research contributes to the field of economic science by demonstrating the potential application of deep learning in algorithmic pricing models for sharing economy platforms. Through a comparative analysis of various methodologies, we aim to provide actionable insights that can inform platform design, regulatory frameworks, and ultimately lead to a more efficient, equitable, and sustainable transportation system.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/dda39ab556874d369384f7194979e733 Zobrazit plný text záznamu View record in DOAJ