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Decongestion of Urban Areas with Hotspot Pricing

  • Datos identificativos

    Identificador: imarina:4079700
    Autores:
    Sole-Ribalta, AlbertGomez, SergioArenas, Alex
    Resumen:
    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.
  • Otros:

    Autor según el artículo: Sole-Ribalta, Albert; Gomez, Sergio; Arenas, Alex
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Arenas Moreno, Alejandro / Gómez Jiménez, Sergio / Solé Ribalta, Albert
    Resumen: 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.
    Áreas temáticas: Transportation science & technology Software Operations research & management science Interdisciplinar Engenharias iii Engenharias i Computer networks and communications Artificial intelligence
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: albert.sole@urv.cat sergio.gomez@urv.cat alexandre.arenas@urv.cat
    Identificador del autor: 0000-0002-2953-5338 0000-0003-1820-0062 0000-0003-0937-0334
    Fecha de alta del registro: 2024-09-28
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Enlace a la fuente original: https://link.springer.com/article/10.1007/s11067-017-9349-y
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Networks & Spatial Economics. 18 (1): 33-50
    Referencia de l'ítem segons les normes 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
    DOI del artículo: 10.1007/s11067-017-9349-y
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2018
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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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