Measuring the Impact of the Large-scale Adoption of Ridesharing on the Spread of Infectious Diseases

The objective of this project is to measure the impact of the large-scale adoption of ridesharing on the spread of infectious diseases by building an agent-based simulation model. The research team will focus on two cases of diseases: influenza and measles. Influenza is a common virus infection, while measles is a rare but deadly virus infection, especially for small children. The agent-based simulation model will capture the patterns of ridesharing and various probabilistic spread of infectious diseases within ridesharing networks as well as within social and residential communities. In the research, the team will compare the disease spread patterns with low to high ridesharing usages.


  • English


  • Status: Completed
  • Funding: $105000
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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


    Washington DC,   United States 
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    University of South Florida, Tampa

    Department of Civil and Environmental Engineering
    4202 E. Flowler Avenue, ENB 118
    Tampa, FL  United States  33620-5350
  • Principal Investigators:

    Kwon, Changhyun

    Das, Tapas

    Reina Ortiz, Miguel

  • Start Date: 20191001
  • Expected Completion Date: 20210331
  • Actual Completion Date: 20210331
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01714125
  • Record Type: Research project
  • Source Agency: Center for Transportation, Environment, and Community Health
  • Contract Numbers: 69A3551747119
  • Files: UTC, RiP
  • Created Date: Aug 20 2019 1:02PM