Articles producció científica> Enginyeria Informàtica i Matemàtiques

Decongestion of Urban Areas with Hotspot Pricing

  • Identification data

    Identifier: imarina:4079700
    Authors:
    Sole-Ribalta, AlbertGomez, SergioArenas, Alex
    Abstract:
    The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion which in turn affects air pollution. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable to ameliorate and control congestion. Here, we analyze a local congestion pricing scheme, hotspot pricing, that surcharges vehicles traversing congested junctions. The proposed tax is computed from the estimation of the evolution of congestion at local level, and the expected response of users to the tax (elasticity). Results on cities' road networks, considering real-traffic data, show that the proposed hotspot pricing scheme would be more effective than current mechanisms to decongest urban areas, and paves the way towards sustainable congestion in urban areas.
  • Others:

    Author, as appears in the article.: Sole-Ribalta, Albert; Gomez, Sergio; Arenas, Alex
    Department: Enginyeria Informàtica i Matemàtiques
    URV's Author/s: Arenas Moreno, Alejandro / Gómez Jiménez, Sergio / Solé Ribalta, Albert
    Abstract: The rapid growth of population in urban areas is jeopardizing the mobility and air quality worldwide. One of the most notable problems arising is that of traffic congestion which in turn affects air pollution. With the advent of technologies able to sense real-time data about cities, and its public distribution for analysis, we are in place to forecast scenarios valuable to ameliorate and control congestion. Here, we analyze a local congestion pricing scheme, hotspot pricing, that surcharges vehicles traversing congested junctions. The proposed tax is computed from the estimation of the evolution of congestion at local level, and the expected response of users to the tax (elasticity). Results on cities' road networks, considering real-traffic data, show that the proposed hotspot pricing scheme would be more effective than current mechanisms to decongest urban areas, and paves the way towards sustainable congestion in urban areas.
    Thematic Areas: Transportation science & technology Software Operations research & management science Interdisciplinar Engenharias iii Engenharias i Computer networks and communications Artificial intelligence
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: albert.sole@urv.cat sergio.gomez@urv.cat alexandre.arenas@urv.cat
    Author identifier: 0000-0002-2953-5338 0000-0003-1820-0062 0000-0003-0937-0334
    Record's date: 2024-09-28
    Papper version: info:eu-repo/semantics/acceptedVersion
    Link to the original source: https://link.springer.com/article/10.1007/s11067-017-9349-y
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Networks & Spatial Economics. 18 (1): 33-50
    APA: Sole-Ribalta, Albert; Gomez, Sergio; Arenas, Alex (2018). Decongestion of Urban Areas with Hotspot Pricing. Networks & Spatial Economics, 18(1), 33-50. DOI: 10.1007/s11067-017-9349-y
    Article's DOI: 10.1007/s11067-017-9349-y
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2018
    Publication Type: Journal Publications
  • Keywords:

    Artificial Intelligence,Computer Networks and Communications,Operations Research & Management Science,Software,Transportation Science & Technology
    Transportation science & technology
    Software
    Operations research & management science
    Interdisciplinar
    Engenharias iii
    Engenharias i
    Computer networks and communications
    Artificial intelligence
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