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Transferability and enhancement of a microsimulation model for estimating urban commercial vehicle movements

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  • Ferguson, Mark
  • Maoh, Hanna
  • Ryan, Justin
  • Kanaroglou, Pavlos
  • Rashidi, Taha Hossein

Abstract

This study examines the transferability of a microsimulation framework to estimate the movements of commercial vehicles in urban areas. We build on the pioneering efforts of Hunt and Stefan (2007) from Calgary, Alberta by considering three types of movements: tour-based; fleet allocator; and internal/external. Some sub-models from Calgary are transferred, while others are newly developed. The framework is implemented and validated for the Greater Toronto and Hamilton Area (GTHA) as a case study. A list of 185,790 records of individual business establishments in the GTHA was acquired from InfoCanada to conduct the microsimulations. The achieved results are promising with favorable correlations between observed and simulated commercial vehicle flows. We conclude that the modeling framework from Calgary can be transferred and used to depict the travel patterns of commercial vehicle movements in other urban areas. This can be beneficial when refined and costly data are unavailable to study urban commercial vehicle movements.

Suggested Citation

  • Ferguson, Mark & Maoh, Hanna & Ryan, Justin & Kanaroglou, Pavlos & Rashidi, Taha Hossein, 2012. "Transferability and enhancement of a microsimulation model for estimating urban commercial vehicle movements," Journal of Transport Geography, Elsevier, vol. 24(C), pages 358-369.
  • Handle: RePEc:eee:jotrge:v:24:y:2012:i:c:p:358-369
    DOI: 10.1016/j.jtrangeo.2012.04.013
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    References listed on IDEAS

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    1. Joubert, J.W. & Axhausen, K.W., 2011. "Inferring commercial vehicle activities in Gauteng, South Africa," Journal of Transport Geography, Elsevier, vol. 19(1), pages 115-124.
    2. O. Norojono & W. Young, 2003. "A Stated preference freight mode choice model," Transportation Planning and Technology, Taylor & Francis Journals, vol. 26(2), pages 1-1, April.
    3. Nam, Ki-Chan, 1997. "A study on the estimation and aggregation of disaggregate models of mode choice for freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(3), pages 223-231, September.
    4. Figliozzi, Miguel Andres, 2007. "Analysis of the efficiency of urban commercial vehicle tours: Data collection, methodology, and policy implications," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 1014-1032, November.
    5. Kanaroglou, Pavlos S. & Buliung, Ron N., 2008. "Estimating the contribution of commercial vehicle movement to mobile emissions in urban areas," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(2), pages 260-276, March.
    6. Figliozzi, Miguel Andres, 2010. "The impacts of congestion on commercial vehicle tour characteristics and costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(4), pages 496-506, July.
    7. Tae Hoon Oum, 1979. "A Cross Sectional Study of Freight Transport Demand and Rail-Truck Competition in Canada," Bell Journal of Economics, The RAND Corporation, vol. 10(2), pages 463-482, Autumn.
    8. W. J. Baumol & H. D. Vinod, 1970. "An Inventory Theoretic Model of Freight Transport Demand," Management Science, INFORMS, vol. 16(7), pages 413-421, March.
    9. Hensher, David & Figliozzi, Miguel Andres, 2007. "Behavioural insights into the modelling of freight transportation and distribution systems," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 921-923, November.
    10. 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. Thoen, Sebastiaan & Tavasszy, Lóránt & de Bok, Michiel & Correia, Goncalo & van Duin, Ron, 2020. "Descriptive modeling of freight tour formation: A shipment-based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    2. Tirumalachetty, Sumala & Kockelman, Kara M. & Nichols, Brice G., 2013. "Forecasting greenhouse gas emissions from urban regions: microsimulation of land use and transport patterns in Austin, Texas," Journal of Transport Geography, Elsevier, vol. 33(C), pages 220-229.
    3. Lovelace, Robin & Ballas, Dimitris & Watson, Matt, 2014. "A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels," Journal of Transport Geography, Elsevier, vol. 34(C), pages 282-296.
    4. Jesús Muñuzuri & Pablo Cortés & Luis Onieva & José Guadix, 2013. "Simulating the effects of pedestrianisation on urban freight deliveries," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 54, pages 1-10.
    5. Yanni Huang & Taha Hossein Rashidi & Lauren Gardner, 2018. "Modelling the global maritime container network," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 400-420, September.

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