Freight transport demand modelling (FTDM) from dispatch logs and partial observations play a key role in providing realistic expectations of freight transport needs and in assessing the environmental impacts of new policies. Shaping freight transport to answer the current challenges of green logistics – decarbonization, energy consumption optimization, intelligent and sustainable management – requires a continuous assessment and adaptation of the whole logistic system. Demand-centric models may support these ends. Understanding advances in freight modelling is thus crucial to overcoming FTDM challenges, including data scarcity. This paper provides two major contributions: i) a review of the state-of-the-art models on freight transport demand modelling, and ii) an integrated overview of how these models can support decision-making aligned with sustainability goals towards green (zero emissions) and digital logistics.


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    Titel :

    Freight Demand Modeling for Green and Digital Logistics


    Weitere Titelangaben:

    Lect.Notes Mobility


    Beteiligte:
    McNally, Ciaran (Herausgeber:in) / Carroll, Páraic (Herausgeber:in) / Martinez-Pastor, Beatriz (Herausgeber:in) / Ghosh, Bidisha (Herausgeber:in) / Efthymiou, Marina (Herausgeber:in) / Valantasis-Kanellos, Nikolaos (Herausgeber:in) / Cerqueira, Sofia (Autor:in) / Arsenio, Elisabete (Autor:in) / Henriques, Rui (Autor:in) / Barateiro, José (Autor:in)

    Kongress:

    Transport Research Arena Conference ; 2024 ; Dublin, Ireland April 15, 2024 - April 18, 2024



    Erscheinungsdatum :

    19.07.2025


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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