Strategic Insights through Machine Learning: A Comparative Study of Uber and Lyft with a Subscription-Based Model for Lyft (2017–2024)

Md Imran Chowdhury Rana; Md Firoz Kabir; Md Yousuf Ahmad; Md Mizanur Rahman; MD Towhidul Rahman Faisal

doi:10.71097/IJSAT.v16.i2.4206

Strategic Insights through Machine Learning: A Comparative Study of Uber and Lyft with a Subscription-Based Model for Lyft (2017–2024)

Author(s)	Md Imran Chowdhury Rana, Md Firoz Kabir, Md Yousuf Ahmad, Md Mizanur Rahman, MD Towhidul Rahman Faisal
Country	United States
Abstract	This research study provides a relative analysis of Uber and Lyft from 2017 to 2024, checking out how tactical choices have influenced their divergent trajectories in the ride-sharing market. While Uber leveraged diversity, worldwide expansion, and technological integration to achieve a dominant market position, Lyft kept a more limited, ride-hailing-focused technique. By using machine knowing models-- including Random Forest, Decision Tree, Linear and Logistic Regression, and Support Vector Machine (SVM)-- the study determines critical efficiency metrics such as revenue, user growth, and average revenue per user (ARPU), using data-driven projections and scenario simulations. The findings show that if Lyft had actually adopted techniques comparable to Uber's, consisting of geographic growth and service diversification, its 2024 earnings might have doubled. The paper even more proposes a novel, state-wise mileage-based membership design for Lyft, approximating a potential 15% earnings boost and improved customer retention. This model draws on usage-based rates patterns and provides a scalable solution to improve financial stability. The research study concludes with useful execution techniques and a call for future research, highlighting the significance of adaptive business models and data-driven decision-making in the progressing movement sector.
Keywords	Uber vs Lyft Market Analysis, Ride-Sharing Industry Trends, Machine Learning in Transportation, Subscription-Based Business Model, Predictive Analytics in Mobility Services
Field	Computer > Data / Information
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-30
Cite This	Strategic Insights through Machine Learning: A Comparative Study of Uber and Lyft with a Subscription-Based Model for Lyft (2017–2024) - Md Imran Chowdhury Rana, Md Firoz Kabir, Md Yousuf Ahmad, Md Mizanur Rahman, MD Towhidul Rahman Faisal - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4206
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4206
Short DOI	https://doi.org/g9g7z3

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Strategic Insights through Machine Learning: A Comparative Study of Uber and Lyft with a Subscription-Based Model for Lyft (2017–2024)

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