A Commercial Vehicle Model for Greater Toronto And Hamilton Area

The Greater Toronto and Hamilton Area (GTHA) is a major generator of freight traffic in Ontario due to its large consumer base, location of major transportation hubs (airports, intermodal terminals, etc.) and manufacturing activities (HDR, 2011). The GTHA is Canada’s largest urban region, consisting of City of Toronto, Durham Region, York Region, Peel Region, Halton Region and City of Hamilton (Figure 1). The province of Ontario generates about 75% more shipments and receives 50% more shipments than the next ranking province, Alberta, (Ferguson et al., 2014). Approximately two-thirds of these shipments are generated by the GTHA and trucking is responsible for over 77 percent of total tonnage of freight movements in the region (Ferguson et al., 2014). Efficient movement of freight in the region is one of the key policy objectives in the regional growth plan – the Big Move (HDR, 2011). Freight demand models are used as tools for the analysis of infrastructure, regulatory and technology policies. The GTHA commercial vehicle (CV) model presented in this paper has been developed for such purposes. The current CV model is a 12.5-hour model (6:30 am – 7:00 pm) based on trip generation and count data from 2011. The model outputs include the number of trucks by truck type (light, medium and heavy) over a 12.5-hour period on road links across the GTHA. This paper presents the details of the model, with particular focus on trip generation. The next section discusses the freight trip generation literature. Next, various data sources used in the model development and calibration are discussed. Then, the 3-stage modeling steps are presented, followed by calibration results. Finally, some concluding remarks are made.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 10p
  • Monograph Title: Planning in Times of Unprecedented Change and Uncertainty

Subject/Index Terms

Filing Info

  • Accession Number: 01877199
  • Record Type: Publication
  • Source Agency: Transportation Association of Canada (TAC)
  • Files: ITRD
  • Created Date: Mar 27 2023 9:33AM