Modeling Border Wait Times of Canadian Trucks in Ontario: Evidence from Recent GPS Data for 2012/2013

Canada and the United States share the largest international border in the world. This border facilitates the movement of more than $2 billion in daily goods and services. Among the Canadian provinces, Ontario is highly dependent upon international trade attributing imports and exports to 31% of the gross domestic product (Anderson, 2012). The United States is Ontario’s most significant trade partner with 2012 exports and imports valued at $148.2 billion and $147.5 billion, respectively (Gauthier, 2014). While the Canada-US border is over 5,000 miles long, approximately 59% of Canada’s total trade with the United States flows through three major Ontario-US crossings. These include the Ambassador Bridge between Windsor and Detroit ($91.9 billion yearly), the Peace Bridge ($60.3 billion yearly) between Fort Erie and Buffalo, and the Blue Water Bridge between Sarnia and Port Huron ($55.5 billion yearly) (Ontario Chamber of Commerce, 2005). Potential delays to the supply chain at the border increases the cost of international trade for businesses. This effect is further magnified for industries where time reliability becomes more important than the crossing time itself. This paper analyzes the crossing time trends occurring at the three major Ontario-US crossings over the course of one year from September 2012 to August 2013. The data used for this analysis is derived from global positioning system (GPS) information pertaining to 850 Canadian owned carriers with trucks travelling throughout Canada and the United States. Based on the crossing time trends that were derived from the GPS data, multivariate regression models are estimated using the average hourly crossing time for a given month. The objective of the models is to explain the spatio-temporal variation in crossing times. The analysis in this paper provides novel results regarding border crossings trends in Ontario. This is possible by utilizing a fairly large truck movement dataset to analyze crossing time variations across daily and monthly time intervals and between several heavily utilized border crossing locations. The rest of this paper is organized as follows. An overview of literature on cross-border delay modeling is discussed first. Next, the data used in this study are summarized, followed by an analysis of the crossing time trends. Regression models are then formulated based on these trends and the implications of the findings are discussed before providing conclusions in the last section.


  • English

Media Info

  • Media Type: Web
  • Pagination: 1 PDF file, 612 KB, 15p.
  • Monograph Title: Canadian Transportation Research Forum 50th Annual Conference - Another 50 Years: Where to From Here?//Un autre 50 ans : qu'en est-il à partir de maintenant? Montreal, Quebec, May 24-26, 2015

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Filing Info

  • Accession Number: 01605014
  • Record Type: Publication
  • Source Agency: Transportation Association of Canada (TAC)
  • Files: ITRD, TAC
  • Created Date: Jul 26 2016 5:03PM