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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/6978

    Título
    Public transportation multimodality in the city of Lisbon
    Autor
    Lemonde de Macedo, Carlos
    Arsenio, Elisabete
    Henriques, Rui
    Publicado en
    R-Evolucionando el transporte
    Editorial
    Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
    Fecha de publicación
    2021-07
    ISBN
    978-84-18465-12-3
    DOI
    10.36443/10259/6978
    Descripción
    Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
    Abstract
    Mobility in major European capitals is not yet sustainable. The need to respond to the ongoing changes in public transportation demand, operationalize safety norms of social distancing, and reach carbon neutrality are prompting cities to reassess public transport systems. Cross-mode synergies in multimodal transport systems can be explored (including convenience, reliability, cost, speed and predictability) to foment public and active modes of mobility. In this context, multimodal traffic pattern analysis can unravel cross-mode vulnerabilities, a possibility that is finally rising with the sensorization of cities, integration of ticketing systems, and consolidation of traffic data sources and their situational context. This work introduces a methodology for the analysis of spatiotemporal indices of multimodality against available situational context, aiding specialists to find vulnerabilities on the public transportation network. Traffic generation poles, large-scale public events, and weather records are the considered sources of situational context. We discuss the role of context-aware multimodality indices to understand demand and its emerging changes, assess cross-modal transfers and preferences, and support cross-mode route and schedule planning. This work further discusses the relevance of multimodal pattern discovery to offer datacentric views ensuring: fully transparent decisions to the citizens; and an objective coordination between carriers, municipalities and authorities. Lisbon is further introduced in this work as a reference case study for context-aware multimodal mobility.
    Palabras clave
    Planificación del transporte
    Planning of transport
    Transporte público
    Public transport
    Materia
    Ingeniería civil
    Civil engineering
    Transporte
    Transportation
    URI
    http://hdl.handle.net/10259/6978
    Versión del editor
    https://doi.org/10.36443/9788418465123
    Relacionado con
    http://hdl.handle.net/10259/6490
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