United States Department of Transportation
i
Attitudes Towards Emerging Mobility Options and Technologies – Phase 3: Survey Data Compilation, and Analysis
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2020-02-01
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[PDF-7.08 MB]
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Edition:Stage 3/3 Project Report, October 2019 – February 2020
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Abstract: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. With this background, the T4 survey (TOMNET Transformative Transportation Technologies Survey) has been designed and deployed in the previous stages of this large-scale survey based research projects. The survey intended to collect very detailed and in-depth data about people’s mobility patterns, as well as attitudes towards and perceptions of emerging transportation options such as ridehailing services and autonomous vehicles. The third phase of this research project focuses on the compilation and analysis of survey data in order to better understand people’s preferences and choices for future mobility options and technologies in the Greater Phoenix metropolitan area. A comprehensive description of all the steps taken to full deployment, data cleaning, and weighting is provided, in addition to a descriptive weighted univariate illustration of the findings from the Phoenix survey sample.
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