Investigating Public Opinions towards Emerging Transportation Technologies and Service Forms

Technology advancement is bringing many changes to the transportation system. Some well-known examples are connected and autonomous vehicles and on-demand mobility services (including the ride-hailing services such as Uber and on-demand home deliveries). In short term, these emerging technologies and services may enhance the efficiency of transportation system operation, improve traffic condition and residents’ quality of life. In long term, they will change people’s perception of travel time and traffic safety conditions, and reshape their behavior. It has already been shown that the on-demand deliveries increase freight trips without reducing personal shopping trips. Policy makers are concerned that these new technologies and service forms may further reduce people’s perceived travel costs, inducing more travel activities and longer commuting distances, adding to the current congestion and urban sprawl conditions, and resulting in increased externalities. Some innovative demand management initiatives are thus being investigated, including new pricing schemes, new ride matching algorithms, and new facility planning and operation strategies. This research project conducted survey to acquire reliable public opinion information in a cost effective way. Based on an integrated dataset that contains comprehensive information about New York State (NYS) residents’ socioeconomic characteristics, built environment, and their attitudes, the paper then conducted descriptive and comparative data analysis that describes the characteristics of public opinions. A set of calibrated econometric models were developed to quantitatively explain the connections between residents’ socioeconomic features and their attitudes towards technologies, service forms, their behavioral responses, and demand management initiatives.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Rensselaer Polytechnic Institute

    110 8th St
    Civil and Environmental Engineering
    , New York  United States  12180

    University Transportation Research Center

    City College of New York
    Marshak Hall, Suite 910, 160 Convent Avenue
    New York, NY  United States  10031

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Wang, Xiaokun (Cara)
    • Schmid, Joshua
    • Gonzalez, Carlos Rivera
    • Rios, Diana Ramirez
    • Miller, Michael
    • Marino, Andrew
    • Gensler, Kyle
  • Publication Date: 2018-8

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; Photos; References; Tables;
  • Pagination: 52p

Subject/Index Terms

Filing Info

  • Accession Number: 01683676
  • Record Type: Publication
  • Contract Numbers: 49198-40-28
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Sep 28 2018 1:43PM