With new modes and technologies including ride-hail apps, e-commerce deliveries, and the revolution in micromobility services changing the transportation landscape at the curbside, jurisdictions like Arlington County, Virginia, have sought to develop tools to reconsider the allocation of curb space to provide the greatest economic and societal benefit to users of the transportation system. While other jurisdictions and researchers have developed a theoretical approach to allocating curb space under the premise that on-street parking is unlikely to provide the greatest economic or societal benefit, Arlington County sought to create a tool that allocates curb space with demand constraints and data relevant to the context of Arlington County. The developed curb space allocation tool uses six modules: (i) ride-hailing services, (ii) commercial loading, (iii) on-street parking, (iv) transit service, (v) micromobility, and (vi) non-transportation uses (parklets/streateries), which are all capable of being updated as new data or models become available. The tool uses each module to estimate the demand for each mode and then allocates the curb space to maximize the economic or societal value (number of people served). As a result of this work, Arlington County has developed the foundation for a tool that provides a mechanism for determining the optimal allocation of curb space given a block’s existing or proposed land uses and transportation services and has identified gaps in research and available data to enhance the tool’s usability.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Solving the Curb Space Puzzle Through the Development of a Curb Space Allocation Tool


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2022-06-06




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Simulation-based analysis of different curb space type allocations on curb performance

    Maxner, Thomas / Ranjbari, Andisheh / Dowling, Chase P. et al. | Taylor & Francis Verlag | 2023

    Free access

    Curb Space Management Strategies for Nashville

    A. Chatterjee / R. A. Staley / R. E. Stammer | NTIS | 1984


    Recommended Guidelines for Curb and Curb-Barrier Installations

    C. A. Plaxico / M. H. Ray / J. A. Weir et al. | NTIS | 2005


    Pricing curb parking

    Shoup, Donald | Elsevier | 2021