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Estimating the contribution of commercial vehicle movement to mobile emissions in urban areas

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  • Kanaroglou, Pavlos S.
  • Buliung, Ron N.

Abstract

Metropolitan scale studies of transport-based air pollution have emphasized inputs from the passenger vehicle fleet, with minimal attention given to the role of urban goods movement. Furthermore, little is known about the spatial distribution of transport related emissions. This study uses an integrated urban land use and transport model (IMULATE) for Hamilton, Canada, to examine the contribution of trucking to the spatial distribution of mobile emissions in urban areas. Using tube data and intersection counts for commercial vehicles, we produce an origin-by-destination matrix of commercial trips. The transportation module of IMULATE was adjusted to estimate the differential traffic volume, due to the presence of commercial trips, in all the links of the transport network. These estimates are then translated into emissions of carbon monoxide (CO), nitrogen oxides (NOx), hydrocarbons (HC) and particulates. The results demonstrate the need to control for urban commercial vehicle movement when attempting to estimate mobile emissions in urban areas.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:44:y:2008:i:2:p:260-276
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    Citations

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    Cited by:

    1. Akeb, Hakim & Moncef, Btissam & Durand, Bruno, 2018. "Building a collaborative solution in dense urban city settings to enhance parcel delivery: An effective crowd model in Paris," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 223-233.
    2. 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.
    3. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & Fageda, Xavier, 2016. "Exploring the relationship between truck load capacity and traffic accidents in the European Union," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 94-109.
    4. Kaplan, Sigal & Gruber, Johannes & Reinthaler, Martin & Klauenberg, Jens, 2016. "Intentions to introduce electric vehicles in the commercial sector: A model based on the theory of planned behaviour," Research in Transportation Economics, Elsevier, vol. 55(C), pages 12-19.
    5. Nilesh Anand & Ron van Duin & Hans Quak & Lori Tavasszy, 2015. "Relevance of City Logistics Modelling Efforts: A Review," Transport Reviews, Taylor & Francis Journals, vol. 35(6), pages 701-719, November.

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