期刊
TRANSPORTATION RESEARCH RECORD
卷 2676, 期 7, 页码 13-23出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/03611981221076441
关键词
planning and analysis; traveler behavior and values; emerging; public transportation; innovative public transportation services and technologies; transportation network companies (TNCs)
资金
- San Francisco County Transportation Authority (SFCTA)
- Metropolitan Transportation Commission (MTC)
- Caltrans' sustainable transportation planning grant
- 11th Hour Project
Transportation network companies (TNCs) like Uber and Lyft have seen significant growth in the past decade, especially in the San Francisco Bay Area. However, there is limited publicly available data on TNC users, their travel behaviors, volume of use, trip times and locations, and overall impact on transportation system performance. This paper presents the methods and descriptive results of the first large-scale smartphone-based TNC user survey conducted in the California Bay Area in fall 2018 and spring 2019.
Transportation network companies (TNCs) such as Uber and Lyft have grown tremendously over the last decade, particularly in the San Francisco Bay Area. Nonetheless, relatively little publicly available data exist about the users of these services, their travel behaviors, volume of use, the times and locations of TNC trips, and how TNC services are affecting transportation system performance overall. This paper describes the methods and descriptive results of the first large-scale smartphone-based TNC user survey conducted in the California Bay Area in the fall 2018 and spring of 2019.
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