Attitudes towards Emerging Mobility Options and Technologies – Phase 1: Survey Design

Disruptive transportation technologies such as autonomous vehicles and mobility-on-demand services are bringing transformative changes in the urban area. To enhance the understanding of various impacts of these new mobility options on travel behavior and relative consequences, people’s attitudes towards and perceptions of these technologies and services need to be measured and understood. This report summarizes the initial phase of a large-scale survey-based research study to understand people’s preferences and choices when it comes to future mobility options and technologies in the four southern US metro areas. The T4 survey (TOMNET Transformative Transportation Technologies Survey) is 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. TOMNET consortium members, Arizona State University, Georgia Institute of Technology, and the University of South Florida, as well as a sister University Transportation Center (called D-STOP) led by the University of Texas at Austin, are joining forces to collect the survey data from a sample of residents in the four metropolitan regions of Tampa, Austin, and Atlanta in addition to Phoenix metro area. This report explains the first phase of the project report including the literature review, survey goals and objectives, and survey design. Moreover, the complete designed survey questionnaire is presented. The next phases of the project include the pilot survey deployment in the Phoenix metro area and the full survey deployment in all the four southern cities.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 33p

Subject/Index Terms

Filing Info

  • Accession Number: 01887574
  • Record Type: Publication
  • Contract Numbers: 69A3551747116
  • Files: UTC, NTL, TRIS, ATRI, USDOT
  • Created Date: Jul 17 2023 9:13AM