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Modelling Sydney’s light commercial service vehicles

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  • Ellison, Richard B.
  • Teye, Collins
  • Hensher, David A.

Abstract

A frequently overlooked source of trips in Sydney (and elsewhere) is light commercial vehicles (LCVs) used by tradesmen and other service workers to travel to customers to provide commercial services. Although these trips have substantial differences from other types of trips (and vehicles), they are frequently included either as standard passenger vehicles or, alternatively, as freight, if they are considered at all. However, light commercial vehicle trips used for commercial services comprise a substantial number of vehicle trips, particularly in areas with large concentrations of businesses such as the Sydney CBD and other growing business precincts, and for this reason should be included in travel demand models. As part of a large project involving the development of a comprehensive model system for predicting passenger, service and freight travel in Sydney (MetroScan-TI), this paper outlines the estimation and application of a set of models for service vehicles. The model system includes four models, a tour generation model, a tour type model, a Statistical Local Area (SLA) choice model and a destination (or travel zone) choice model. These models are estimated using data from a subset of the Sydney Household Travel Survey (HTS) involving work trips using LCVs, as well as detailed land-use and employment data from the 2011 Australian Census. We obtain a set of behaviourally rich and geographically detailed models that incorporate feedback through the use of several inclusive value (logsum) parameters. In addition to the overview of the model system, this paper discusses the estimation results and their application to policies.

Suggested Citation

  • Ellison, Richard B. & Teye, Collins & Hensher, David A., 2017. "Modelling Sydney’s light commercial service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 79-89.
    • Handle: RePEc:eee:transa:v:96:y:2017:i:c:p:79-89
    DOI: 10.1016/j.tra.2016.12.002
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    References listed on IDEAS

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    1. Hebes, Paul & Menge, Julius & Lenz, Barbara, 2013. "Service-related traffic: An analysis of the influence of firms on travel behaviour," Transport Policy, Elsevier, vol. 26(C), pages 43-53.
    2. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    3. Ho, Chinh Q. & Hensher, David A., 2016. "A workplace choice model accounting for spatial competition and agglomeration effects," Journal of Transport Geography, Elsevier, vol. 51(C), pages 193-203.
    4. Hunt, J.D. & Stefan, K.J., 2007. "Tour-based microsimulation of urban commercial movements," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 981-1013, November.
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    Cited by:

    1. Ramirez-Rios, Diana G. & Kalahasthi, Lokesh Kumar & Holguín-Veras, José, 2023. "On-street parking for freight, services, and e-commerce traffic in US cities: A simulation model incorporating demand and duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 169(C).
    2. McLeod, Sam & Schapper, Jake H.M. & Curtis, Carey & Graham, Giles, 2019. "Conceptualizing freight generation for transport and land use planning: A review and synthesis of the literature," Transport Policy, Elsevier, vol. 74(C), pages 24-34.
    3. Holguín-Veras, José & Kalahasthi, Lokesh & Ramirez-Rios, Diana G., 2021. "Service trip attraction in commercial establishments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    4. Balbontin, Camila & Hensher, David A. & Ho, Chinh, 2023. "Light commercial vehicles destination choice: Understanding preferences relative to the number of stop and tour-based trip type," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    5. David A. Hensher & Chinh Quoc Ho & Wen Liu & Edward Wei & Richard Ellison & Kyle Schroeckenthaler & Derek Cutler & Glen Weisbrod, 2020. "MetroScan: A Quick Scan Appraisal Capability to Identify Value Adding Sustainable Transport Initiatives," Sustainability, MDPI, vol. 12(19), pages 1-30, September.
    6. Hensher, David A. & Ho, Chinh Q. & Ellison, Richard B., 2019. "Simultaneous location of firms and jobs in a transport and land use model," Journal of Transport Geography, Elsevier, vol. 75(C), pages 110-121.
    7. Gonzalez-Calderon, Carlos A. & Moreno-Palacio, Diana Patricia & Posada-Henao, John Jairo & Quintero-Giraldo, Ricardo & Múnera, César Chavarría, 2022. "Service trip generation modeling in urban areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).

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