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Commercial Vehicle Empty Trip Models With Variable Zero Order Empty Trip Probabilities

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Abstract

This paper considers enhanced formulations to model commercial vehicle empty trips. These formulations relax a limitation of the original trip chain models, i.e., the assumption of a constant probability of a zero order trip chain, p, for the entire range of trip types. The formulations considered in the paper assumed that p follows a logistic function of the opposing commodity flow, and trip distance. The consideration of a variable p significantly improves the relative performance of the models. The relative error for the models with constant p ranged from 4.2% to 19.3% higher than that for the models with a variable p as a function of either commodity flow or distance.

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Acknowledgements

The research reported in this paper was supported by the National Science Foundation’s grant CMS-0324380. This support is both acknowledged and appreciated.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, JEC 4030, 110 8th Street, Troy, NY, 12180, USA

    José Holguín-Veras

  2. University Transportation Research Center, The City College of New York, Marshak Hall Suite 910A 138th Street & Convent Avenue, New York, NY, 10031, USA

    Ellen Thorson

  3. 100 Cambridge Park Drive, Suite 400, Cambridge, MA, 02140, USA

    Juan C. Zorrilla

Authors
  1. José Holguín-Veras
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  2. Ellen Thorson
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  3. Juan C. Zorrilla
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Correspondence to José Holguín-Veras.

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Holguín-Veras, J., Thorson, E. & Zorrilla, J.C. Commercial Vehicle Empty Trip Models With Variable Zero Order Empty Trip Probabilities. Netw Spat Econ 10, 241–259 (2010). https://doi.org/10.1007/s11067-008-9066-7

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  • DOI: https://doi.org/10.1007/s11067-008-9066-7

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