This paper introduces a model of urban freight demand that seeks to estimate tour flows from secondary data sources e.g., traffic counts, to bypass the need for expensive surveys. The model discussed in this paper, referred as Freight Tour Synthesis (FTS), enhances current techniques by incorporating the time-dependent tour-based behavior of freight vehicles, and the decision maker’s (e.g., metropolitan planning agency planner) preferences for different sources of information. The model, based on entropy maximization theory, estimates the most likely set of tour flows, given a set of trip generation estimates, a set of traffic counts per time interval, and total freight transportation cost in the network. The type of inputs used allows the assessment of changes in infrastructure, policy and land use. The ability of the model to replicate actual values is assessed using the Denver Region (CO) as a case study.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A time-dependent freight tour synthesis model




    Publication date :

    2015




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.80 Verkehrswesen, Transportwesen: Allgemeines



    A time-dependent freight tour synthesis model

    Sánchez-Díaz, Iván / Holguín-Veras, José / Ban, Xuegang (Jeff) | Elsevier | 2015


    A Tour-Based Model for the Simulation of a Distributive Freight System

    Carteni, A. / Russo, F. | British Library Conference Proceedings | 2009


    Tour based and supply chain modeling for freight: integrated model demonstration in Chicago

    Outwater, M / Smith, C / Wies, K et al. | Taylor & Francis Verlag | 2013


    Descriptive modeling of freight tour formation: A shipment-based approach

    Thoen, Sebastiaan / Tavasszy, Lóránt / de Bok, Michiel et al. | Elsevier | 2020