Commercial vehicle movements compose perhaps 15% of all urban vehicle trips and produce large impacts in key areas, such as congestion, emissions, road wear, and industrial area traffic. A system for modeling such movements was developed for Calgary, Alberta, Canada. It is a novel application of an agent-based microsimulation framework that uses a tour-based approach and emphasizes important elements of urban commercial movement, including the role of service delivery, light commercial vehicles, and trip chaining. The microsimulation uses Monte Carlo techniques to assign tour purpose, vehicle type, next-stop purpose, next-stop location, and next-stop duration. Tours are “grown” with a return-to-establishment alternative within the next-stop purpose allocation, which is consistent with the nature of tour making in urban commercial movements. The Monte Carlo probabilities are established with the use of a series of logit models, with coefficients estimated on the basis of observed behavior of different commercial movement segments. The estimation results in themselves provide insights into the revealed behavior that have not been available previously.


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    Title :

    Urban Commercial Vehicle Movement Model for Calgary, Alberta, Canada


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2005-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Urban Commercial Vehicle Movement Model for Calgary, Alberta, Canada

    Stefan, K. / McMillan, J. / Hunt, J. | Transportation Research Record | 2005



    Urban Commercial Vehicle Movement Model for Calgary

    National Research Council (U.S.) | British Library Conference Proceedings | 2005


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    Tour-Based Microsimulation of Urban Commercial Vehicle Movements in Calgary, Alberta, Canada: Case Example: Discussion

    Drumm, S. / National Research Council (U.S.) | British Library Conference Proceedings | 2008