Consumer Attitudes and Behavioral Implications in the New Era of Shared Mobility
In the last few years, the concept of platform-based sharing economy has received tremendous attention (Sundararajan, 2016). This concept is mainly made possible by digital platforms that leverage advanced technologies (e.g., smartphones, global positioning system (GPS), integrated payment systems) to connect the demand and supply for a particular product or service in an efficient and cost effective manner. One such innovative use case is in the transportation industry where on-demand shared mobility―the real-time shared use of a vehicle, bicycle, or other transportation mode―is having transformative impacts on travelers’ attitudes, mobility choices, and behavioral responses to a wide range of daily activities. Among the shared mobility applications, dockless bike-sharing services suddenly became popular in 2017 (Qi et al., 2018). A few companies have recently started operating in many cities across the United States. Unlike traditional dock-based bike rent/share programs, services offered by these companies do not require city funding or sponsorship for their infrastructure or operational management. Dockless bike share offers a flexible, low-cost, and alternative mode of transportation. While such a shared mobility application has a great potential to improve the efficiency of short-distance urban travel and create a positive impact on the community and environment, there is little research on the attitudes, perceptions, and preferences of user’s mobility choices toward dockless bike share and the associated impacts on other modes of transportation as well as the local economy. In this proposed research, the research team uses the dockless bike-sharing services introduced by Lime (formerly LimeBike) to examine these important research questions. Lime is an American transportation company that runs dock free pedal bikes, e-assist bikes, and electric scooters in various cities. The main objectives of the proposed research are to: (1) understand the perceptions, attitudes, and user’s mobility choices toward dockless bike-sharing services; (2) develop advanced analytics and machine learning algorithms to uncover patterns associated with mobility choice, activity-travel, and additional spending related to dockless bike sharing; and (3) empirically evaluate if and how the introduction of the dockless bike-sharing services influences public transit ridership and business sales.
Language
- English
Project
- Status: Completed
- Funding: $104,324
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Contract Numbers:
69A3551747116
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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:
Center for Teaching Old Models New Tricks (TOMNET)
Arizona State University
Tempe, AZ United States 85287 -
Performing Organizations:
Center for Teaching Old Models New Tricks (TOMNET)
Arizona State University
Tempe, AZ United States 85287 -
Principal Investigators:
Zhang, Zhongju
Tong, Daoqin
- Start Date: 20191001
- Expected Completion Date: 20211001
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Algorithms; Attitudes; Bicycles; Consumer preferences; Impacts; Machine learning; Mode choice; Public transit; Ridership; Shared mobility; Travel behavior; Vehicle sharing
- Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Public Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01755256
- Record Type: Research project
- Source Agency: Center for Teaching Old Models New Tricks (TOMNET)
- Contract Numbers: 69A3551747116
- Files: UTC, RIP
- Created Date: Oct 21 2020 8:52PM