IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v7y2023i2p29-d1147152.html
   My bibliography  Save this article

Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework

Author

Listed:
  • Jamileh Yousefi

    (Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada)

  • Sahand Ashtab

    (Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada)

  • Amirali Yasaei

    (Faculty of Engineering, Waterloo University, Waterloo, ON N2L 3G1, Canada)

  • Allu George

    (Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada)

  • Ali Mukarram

    (Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada)

  • Satinderpal Singh Sandhu

    (Shannon School of Business, Cape Breton University, Sydney, NS B1P 6L2, Canada)

Abstract

Background : Finding trends in freight transportation activities enables businesses and policy makers to build an understanding of freight transportation patterns and their impact on logistics planning when making investments in a region’s transportation infrastructure and intermodal freight transport system. To the best of our knowledge, there is limited literature and data-driven analysis about trends in transportation mode choices and the influencing factors in Atlantic Canada. Methods : In this study, a data-driven method has been used to analyze the Canadian Freight dataset to identify trends in transportation activities within Maritime, Canada. Freight transportation mode, product categories, distance, number/weight of shipments, and revenue were examined. Results : The results revealed that the top five product categories exported from Atlantic provinces to the rest of Canada, the US, and Mexico are miscellaneous items, food products, forest products, minerals, and other manufactured goods, where Truck for Hire is the most deployed mode of transportation. A multiple linear regression analysis indicated that the weight, distance, and number of shipments are positively and rather strongly correlated with revenue generation. Conclusions : This study provides a unique overview of Canadian Freight Analysis Framework (CFAF) data with a focus on maritime activities.

Suggested Citation

  • Jamileh Yousefi & Sahand Ashtab & Amirali Yasaei & Allu George & Ali Mukarram & Satinderpal Singh Sandhu, 2023. "Multiple Linear Regression Analysis of Canada’s Freight Transportation Framework," Logistics, MDPI, vol. 7(2), pages 1-17, May.
    • Handle: RePEc:gam:jlogis:v:7:y:2023:i:2:p:29-:d:1147152
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/7/2/29/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2305-6290/7/2/29/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mary R. Brooks & Valerie Trifts, 2008. "Short sea shipping in North America: understanding the requirements of Atlantic Canadian shippers," Maritime Policy & Management, Taylor & Francis Journals, vol. 35(2), pages 145-158, April.
    2. Hoshi Tagawa & Tomoya Kawasaki & Shinya Hanaoka, 2021. "Conditions influencing the choice between direct shipment and transshipment in maritime shipping network," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-15, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Silvia Araújo dos Reis & José Eugenio Leal & Antônio Márcio Tavares Thomé, 2023. "A Two-Stage Stochastic Linear Programming Model for Tactical Planning in the Soybean Supply Chain," Logistics, MDPI, vol. 7(3), pages 1-26, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Konstantinus, Abisai & Zuidgeest, Mark & Hess, Stephane & de Jong, Gerard, 2020. "Assessing inter-urban freight mode choice preference for short-sea shipping in the Southern African Development Community region," Journal of Transport Geography, Elsevier, vol. 88(C).
    2. Yuen, Kum Fai & Thai, Vinh V. & Wong, Yiik Diew, 2016. "The effect of continuous improvement capacity on the relationship between of corporate social performance and business performance in maritime transport in Singapore," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 62-75.
    3. Rodrigo J. Tapia & Gerard Jong & Ana M. Larranaga & Helena B. Bettella Cybis, 2021. "Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina," Networks and Spatial Economics, Springer, vol. 21(3), pages 581-608, September.
    4. Bury Alan & Paraskevadakis Dimitrios & Ren Jun & Saeed Farhan, 2017. "A framework for use in modelling the modal choice decision making process in North West England’s Atlantic Gateway," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 8(1), pages 19-30, May.
    5. Ching-Chiao Yang & Hui-Huang Tai & Wen-Hsing Chiu, 2014. "Factors influencing container carriers' use of coastal shipping," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(2), pages 192-208, March.
    6. José F. Baños & Luis Valdés & Eduardo Valle & Emma Zapico, 2018. "Economic importance of the motorways of the sea for tourism: The experience of the route Nantes–Gijón," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 300-320, June.
    7. Tapia, Rodrigo J. & de Jong, Gerard & Larranaga, Ana M. & Bettella Cybis, Helena B., 2020. "Application of MDCEV to infrastructure planning in regional freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 255-271.
    8. Arencibia, Ana Isabel & Feo-Valero, María & García-Menéndez, Leandro & Román, Concepción, 2015. "Modelling mode choice for freight transport using advanced choice experiments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 75(C), pages 252-267.
    9. Woxenius, Johan & Bergqvist, Rickard, 2011. "Comparing maritime containers and semi-trailers in the context of hinterland transport by rail," Journal of Transport Geography, Elsevier, vol. 19(4), pages 680-688.
    10. Zhuo Zhang & Dezhi Zhang & Lóránt A. Tavasszy & Qinglin Li, 2020. "Multicriteria Intermodal Freight Network Optimal Problem with Heterogeneous Preferences under Belt and Road Initiative," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    11. Tapia, Rodrigo Javier & dos Santos Senna, Luiz Afonso & Larranaga, Ana Margarita & Cybis, Helena Beatriz Bettella, 2019. "Joint mode and port choice for soy production in Buenos Aires province, Argentina," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 100-118.
    12. Chen, Kang & Yang, Zhongzhen & Notteboom, Theo, 2014. "The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 192-211.
    13. Román, Concepción & Arencibia, Ana Isabel & Feo-Valero, María, 2017. "A latent class model with attribute cut-offs to analyze modal choice for freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 212-227.
    14. Kawasaki, Tomoya & Loh, Zhan Teng & Hanaoka, Shinya, 2023. "Geospatial transition of port hinterland considering intermodal service frequency: A case study in Bangladesh," Journal of Transport Geography, Elsevier, vol. 108(C).
    15. Miguel Ángel López-Navarro, 2014. "Environmental Factors and Intermodal Freight Transportation: Analysis of the Decision Bases in the Case of Spanish Motorways of the Sea," Sustainability, MDPI, vol. 6(3), pages 1-23, March.
    16. Gertjan van den Bos & Bart Wiegmans, 2018. "Short sea shipping: a statistical analysis of influencing factors on SSS in European countries," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-20, December.
    17. Jong Hae Choi & Yong Hwa Park, 2020. "Investigating Paradigm Shift from Price to Value in the Air Cargo Market," Sustainability, MDPI, vol. 12(23), pages 1-15, December.
    18. Lourdes Trujillo & Francesca Medda & María M. González, 2011. "An Analysis of Short Sea Shipping as an Alternative for Freight Transport," Chapters, in: Kevin Cullinane (ed.), International Handbook of Maritime Economics, chapter 13, Edward Elgar Publishing.
    19. Yang, Dong & Jiang, Liping & Ng, Adolf K.Y., 2018. "One Belt one Road, but several routes: A case study of new emerging trade corridors connecting the Far East to Europe," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 190-204.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlogis:v:7:y:2023:i:2:p:29-:d:1147152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.