Attitudes towards Emerging Mobility Options and Technologies – Phase 2: Data Collection in Tampa, FL
Emerging transportation technologies including electric and autonomous vehicles and emerging mobility services such as ride-hailing and vehicle sharing are bringing about transformative changes in the transportation landscape. With the emergence of new transportation technologies and services, it is critical that transportation forecasting models be enhanced to account for behavioral dynamics that will result from the increasing penetration of disruptive forces in the transportation marketplace. To enhance transportation forecasting models, people’s attitudes towards and perceptions of emerging technologies and services need to be measured and understood. Armed with such an understanding, it will be possible to specify and develop behavioral models that account for attitudes and perceptions, adoption cycles, and adaptation patterns. It is envisioned that such models will help decision-makers better plan transportation infrastructure systems and design marketing and policy strategies that maximize the benefits of these disruptive technologies. This project aims to collect survey data from a sample of 1000 residents in the Tampa Bay metro area to understand how the market perceives, adopts, and adapts to transformative transportation technologies. During the one-year duration of the project, the research team will review relevant behavioral studies, design the survey instrument and sampling plan, conduct a survey pre-test, perform full-fledged data collection through the administration of a comprehensive attitudinal and behavioral survey, compile and clean data, and produce reports and documentation. Thus, the focus of this phase-II effort is to collect a rich dataset of users’ attributes and current mobility choices, together with attitudes, perceptions and stated preferences towards new mobility options and technologies. It is envisioned that this project will result in the development of a data collection protocol and methodology that can be widely adopted in any jurisdiction interested in replicating the study.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $175,846
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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:
University of South Florida, Tampa
Department of Civil and Environmental Engineering
4202 E. Flowler Avenue, ENB 118
Tampa, FL United States 33620-5350 -
Principal Investigators:
Maness, Michael
- Start Date: 20181001
- Expected Completion Date: 20201001
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Attitudes; Autonomous vehicles; Behavior; Consumer preferences; Data collection; Electric vehicles; Methodology; Mobility; Mode choice; Ridesourcing; Surveys; Vehicle sharing
- Geographic Terms: Tampa (Florida)
- Subject Areas: Data and Information Technology; Highways; Passenger Transportation; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01754993
- Record Type: Research project
- Source Agency: Center for Teaching Old Models New Tricks (TOMNET)
- Contract Numbers: 69A3551747116
- Files: UTC, RIP
- Created Date: Oct 20 2020 6:29PM