Competitiveness, User Preference, and Willingness-to-Pay for Peer-to-Peer Ridesharing Service
The Peer-to-Peer (P2P) ridesharing model is a cost effective system where transit service is not available. This research explores the competitiveness, user preference, and willingness-to-pay (WTP) for P2P ridesharing services as a sustainable mode of transportation. The study aims to understand the factors influencing users' choices and WTP for P2P ridesharing platforms. The research methodology includes a suggested stable price structure for P2P ridesharing for drivers and users using a game theory and a comprehensive analysis of the competitiveness of P2P ridesharing compared to traditional transportation modes and other alternatives. Moreover, a survey will be conducted to identify user preferences and the key attributes influencing their decision to opt for P2P ridesharing. To estimate users' WTP, the adaptive choice-based conjoint (ACBC) analysis will be employed using Sawtooth Software's SSI Web. The findings of this study will contribute to a deeper understanding of the viability and user acceptance of P2 ridesharing, enabling policymakers and ridesharing platforms to optimize their offerings and pricing strategies for improving P2P ridesharing system.
Language
- English
Project
- Status: Active
- Funding: $153955
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Contract Numbers:
CMMM-MSUYL-2023-C0008
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Morgan State University
School of Engineering
Cold Spring Lane and Hillen Road
Baltimore, MD United States 21239 -
Project Managers:
Lee, Young-Jae
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Performing Organizations:
Morgan State University
School of Engineering
Cold Spring Lane and Hillen Road
Baltimore, MD United States 21239 -
Principal Investigators:
Lee, Young-Jae
- Start Date: 20230901
- Expected Completion Date: 20240831
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Competition; Consumer preferences; Game theory; Mode choice; Pricing; Ridesharing
- Subject Areas: Finance; Passenger Transportation; Planning and Forecasting;
Filing Info
- Accession Number: 01909262
- Record Type: Research project
- Source Agency: Center for Multi-Modal Mobility in Urban, Rural, and Tribal Areas (CMMM)
- Contract Numbers: CMMM-MSUYL-2023-C0008
- Files: UTC, RIP
- Created Date: Feb 22 2024 4:11PM