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Truck trip generation in small- and medium-sized urban areas

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  • Diomo Motuba
  • Denver Tolliver

Abstract

This paper describes procedures to develop truck trip generation (TTG) rates for small- and medium-sized urban areas and its implications. Ordinary least squares models are used to develop separate truck production and attraction equations with the number of employees as the independent variable for three industrial groups – retail, transportation and warehousing, and manufacturing. Results from this research indicate that number of employees is a statistically significant predictor, and has significant explanatory power in predicting the number of truck trips produced and attracted. The rates developed in this study are also found to be significantly different from rates developed in other studies with the implication that caution needs to be taken when transferring TTG rates. The rates are applied in a travel demand model as the initial step of incorporating truck traffic into the modeling process.

Suggested Citation

  • Diomo Motuba & Denver Tolliver, 2017. "Truck trip generation in small- and medium-sized urban areas," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(3), pages 327-339, April.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:3:p:327-339
    DOI: 10.1080/03081060.2017.1283158
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    Cited by:

    1. Pani, Agnivesh & Sahu, Prasanta K., 2022. "Modelling non-response in establishment-based freight surveys: A sampling tool for statewide freight data collection in middle-income countries," Transport Policy, Elsevier, vol. 124(C), pages 128-138.
    2. Leise Kelli de Oliveira & Gracielle Gonçalves Ferreira de Araújo & Bruno Vieira Bertoncini & Carlos David Pedrosa & Francisco Gildemir Ferreira da Silva, 2022. "Modelling Freight Trip Generation Based on Deliveries for Brazilian Municipalities," Sustainability, MDPI, vol. 14(16), pages 1-18, August.

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