Y4R2 - Evaluating Dynamic Curb Management Strategies in Urban Environments

y businesses compete for pick-up and drop-off locations, and bike-share programs and dockless scooters are present in abundance in the communities across the nation. The demand for curb has grown so rapidly that local land-use planners and regulators are struggling to create policies to keep the pace of new mobility and increased delivery needs. Advancing technology innovation, growing frustration with congestion, and increasing environmental regulation have congregated to create a demand for a wider range of services with new approaches to meet urban mobility needs. As a response to this problem, some cities have chosen to dedicate more curb spaces for pick-up and drop-off locations, but the static allocation of space is inefficient when demand types and rates fluctuate hourly and daily. This work will study the effectiveness of a robust dynamic curb management environment in urban areas to reduce urban congestion and increase mobility and accessibility. Another key objective of this study is to develop a traffic simulation module that incorporates a parking choice model to select suitable parking facilities for all the modes and further finds the optimal allocation of the curb space for various uses that the overall transportation system performance can be enhanced.


    • English


    • Status: Active
    • Funding: $104434
    • 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:

      Freight Mobility Research Institute

      Florida Atlantic University
      Boca Raton, FL  United States  33431
    • Project Managers:

      Stearns, Amy

    • Performing Organizations:

      Florida Atlantic University, Boca Raton

      Boca Raton, FL  United States  33431

      Portland State University

      1900 SW Fourth Avenue, Suite 175
      Portland, Oregon  United States  97201
    • Principal Investigators:

      Kaisar, Evangelos

      Figliozzi, Miguel

    • Start Date: 20200901
    • Expected Completion Date: 20210831
    • Actual Completion Date: 20210727
    • USDOT Program: Advanced Research

    Subject/Index Terms

    Filing Info

    • Accession Number: 01777991
    • Record Type: Research project
    • Source Agency: Freight Mobility Research Institute
    • Contract Numbers: 69A3551747120
    • Files: UTC, RIP
    • Created Date: Jul 28 2021 12:18PM