摘要: |
The new emerging transportation landscape includes new mobility options and technologies, such as autonomous vehicles (AVs) and ride-hailing services (like Uber and Lyft). In this project, the research team will undertake a revealed preference survey of individuals� current travel choices (including ridehailing) and obtain stated preferences/choices about individuals� potential responses to new mobility options. The survey data will be combined with other sources of land-use and transportation network data to project travel demand into the future, and develop policy recommendations on how best to harness the potential of new mobility options to make transportation in urban areas safer, more reliable, and more resilient. In particular, the survey�s main objective is to collect a rich set of data that includes information about people�s travel behavior and their perceptions and attitudes towards advanced transportation technologies and mobility options. This survey will be a coordinated effort among four different universities and will collect data in five metropolitan areas (Phoenix, Atlanta, Austin, Houston, and Tampa) regarding users� perceptions on new transportation technologies and services, allowing for cross-city comparisons. The D-STOP project will be responsible for all aspects of data collection in the Austin and Houston areas, and will contribute to data analysis across all five cities. The research will inform the development of behavioral models of technology adoption capable of reflecting the impacts of these disruptive forces on traveler behavior and values, and provide guidance to policy makers and urban transportation planning agencies in terms of regulations and preparing for the new era of transportation services. |