Enabling Demand Modelling from Privately Held Mobility Data

Novel mobility paradigms such as car- and ride-sharing, on-demand transportation and proliferation of non-motorized modes change the transportation landscape quicker than traditional data sources, such as travel surveys, are able to reflect. At the same time, valuable mobility data are locked in private repositories of telecoms and service providers and cannot be easily shared whether for profit or objectives of public good. There exists a combination of customer privacy and security issues, the lack of business models for data-centric private-public partnerships, immaturity of data marketplaces and significant technical bottlenecks that are in the way. Paradoxically, this creates a data drought in the age of the big data deluge. Public agencies charged with a mandate to manage critical transportation infrastructures lack instruments to investigate and react to rapidly evolving demand patterns. This project will research how travel demand modeling can be enhanced and demand forecasting latency reduced within the current operation practices. This project will develop and showcase a novel algorithmic framework to calibrate discrete choice models using data held by the private sector in an efficient and privacy-preserving way that does not require disclosures of sensitive personal data.


  • English


  • Status: Active
  • Contract Numbers:

    2016 - TO 048 - 65A0529

  • Sponsor Organizations:

    California Department of Transportation

    1227 O Street
    Sacramento, CA  United States  95843

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    University of California Center on Economic Competitiveness in Transportation (UCCONNECT)

    University of California, Berkeley
    Berkeley, CA  United States  94720-1782
  • Performing Organizations:

    University of California, Berkeley

    444 Davis Hall
    Berkeley, CA  United States  94720
  • Principal Investigators:

    Pozdnukhov, Alexey

  • Start Date: 20160501
  • Expected Completion Date: 20170430
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01628685
  • Record Type: Research project
  • Source Agency: University of California Center on Economic Competitiveness in Transportation (UCCONNECT)
  • Contract Numbers: 2016 - TO 048 - 65A0529
  • Files: UTC, RiP, STATEDOT
  • Created Date: Mar 8 2017 1:42PM