Quantifying the Environmental and Health Impacts of Curbside Management for Emerging Multi-modal Mobility Services

The proposed research aims to investigate how curbside management strategies may help address traffic bottlenecks on roads and sidewalks due to intensive pick-up/drop-off (PUDO) activities, thus mitigating the environmental and health impacts on vulnerable road users (VRUs) resulting from vehicular emissions. In this project, the research team will develop an integrated simulation platform in SUMO to model the microscopic interactions between different modes, estimate the vehicular emissions and pollutant dispersion, quantify human exposure for VRUs, and determine the effectiveness of different curbside management strategies in terms of environmental and health impacts. The research team will use a case study to demonstrate the model capability.

Language

  • English

Project

  • Status: Active
  • Funding: $80000
  • Contract Numbers:

    69A3551747128

  • 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:

    Center for Advanced Researchh in Transportation Emissionss, Energy and Health

    Texas A&M Transportation Instiitute
    College Station, Texas  United States  77843
  • Project Managers:

    Hao, Peng

    Zhao, Xuanpeng

  • Performing Organizations:

    University of California, Riverside

    1084 Columbia Ave.
    Riverside, CA  United States  92507
  • Principal Investigators:

    Wu, Guoyuan

  • Start Date: 20210201
  • Expected Completion Date: 20220630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers
  • Source Data: 05-49-UCR

Subject/Index Terms

Filing Info

  • Accession Number: 01762551
  • Record Type: Research project
  • Source Agency: Center for Advancing Research in Transportation Emissions, Energy, and Health
  • Contract Numbers: 69A3551747128
  • Files: UTC, RIP
  • Created Date: Jan 19 2021 10:09AM