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Studying border crossing choice behavior of trucks moving between Ontario, Canada and the United States

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  • Maoh, Hanna
  • Dimatulac, Terence
  • Khan, Shakil
  • Litwin, Marek

Abstract

The effectiveness of trade between Canada and US relies heavily on land borders. This study uses GPS data to explore the movement of trucks across four major border crossings in southwestern and southeastern parts of the Canadian province of Ontario. Multinomial logit models are estimated to examine the route choice decisions of trucks using the four crossings. While observed crossing time has a significant and negative influence on the observed choices, its impact is generally inelastic. More importantly, the geographic location of truck trip origins and destinations appear to play a more significant role in choosing the border crossing, suggesting that geography is at play when it comes to the choice of a land border. Finally, the results suggest that long-haul trips tend to favor the Ambassador Bridge crossing that connects Windsor, Ontario to Detroit, Michigan.

Suggested Citation

  • Maoh, Hanna & Dimatulac, Terence & Khan, Shakil & Litwin, Marek, 2021. "Studying border crossing choice behavior of trucks moving between Ontario, Canada and the United States," Journal of Transport Geography, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:jotrge:v:91:y:2021:i:c:s0966692321000454
    DOI: 10.1016/j.jtrangeo.2021.102992
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    References listed on IDEAS

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    1. Theo Arentze & Tao Feng & Harry Timmermans & Jops Robroeks, 2012. "Context-dependent influence of road attributes and pricing policies on route choice behavior of truck drivers: results of a conjoint choice experiment," Transportation, Springer, vol. 39(6), pages 1173-1188, November.
    2. Maoh, Hanna F. & Khan, Shakil A. & Anderson, William P., 2016. "Truck movement across the Canada–US border: The effects of 9/11 and other factors," Journal of Transport Geography, Elsevier, vol. 53(C), pages 12-21.
    3. Hess, Stephane & Quddus, Mohammed & Rieser-Schüssler, Nadine & Daly, Andrew, 2015. "Developing advanced route choice models for heavy goods vehicles using GPS data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 29-44.
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