Attitudes Towards Emerging Mobility Options and Technologies – Phase 2: Data Collection in Atlanta, GA
Abstract Emerging mobility options and technologies including autonomous vehicles and mobility-on-demand services are bringing transformative changes in the transportation landscape. To enhance transportation forecasting models considering the increasing penetration of disruptive forces, people’s attitudes towards and perceptions of these 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. This project proposes the survey design, recruitment and administration via two channels, data analysis and modeling for a sample of more than one thousand individuals across the Atlanta region, GA.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $250,185
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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:
Georgia Institute of Technology
Department of Civil and Environmental Engineering
790 Atlantic Drive
Atlanta, GA United States 30322 -
Principal Investigators:
Circella, Giovanni
- 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: Atlanta (Georgia)
- Subject Areas: Data and Information Technology; Highways; Passenger Transportation; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01754972
- 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 5:58PM