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Investigating the bunkering choice determinants: the case of the port of Antwerp

Author

Listed:
  • Raimonds Aronietis

    (International Transport Forum at the OECD)

  • Christa Sys

    (University of Antwerp)

  • Edwin van Hassel

    (University of Antwerp)

  • Thierry Vanelslander

    (University of Antwerp)

Abstract

From a European, regional and local perspective, as well as from the perspective of port authorities, it is important that waterborne transport becomes sustainable. As possible solutions to comply with new types of legislation (SECA-zones), shipping companies consider amongst others the use of liquefied natural gas (LNG) and low sulphur fuel. An important aspect in the choice of fuel are the current bunker strategies of the shipping companies. Therefore, this research deals with the bunker market and wants to increase the insight into the strategy of the shipping companies, why they bunker in Antwerp or in another port (e.g. Rotterdam). Which criteria are the most important: the price per tonne, the quality of the fuel, or another characteristic (e.g. calling pattern)? The research question is answered with a discrete choice experiment, evaluating the preferences of the shipping lines. A multinomial logit model is chosen for this experiment because of the low expected number of respondents. The research is further expanded with more in-depth interviews with bunkering decision makers of various shipping companies.

Suggested Citation

  • Raimonds Aronietis & Christa Sys & Edwin van Hassel & Thierry Vanelslander, 2017. "Investigating the bunkering choice determinants: the case of the port of Antwerp," Journal of Shipping and Trade, Springer, vol. 2(1), pages 1-13, December.
    • Handle: RePEc:spr:josatr:v:2:y:2017:i:1:d:10.1186_s41072-017-0025-7
    DOI: 10.1186/s41072-017-0025-7
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    References listed on IDEAS

    as
    1. Raimonds Aronietis & Christa Sys & Edwin van Hassel & Thierry Vanelslander, 2016. "Forecasting port-level demand for LNG as a ship fuel: the case of the port of Antwerp," Journal of Shipping and Trade, Springer, vol. 1(1), pages 1-22, December.
    2. Mickael Bech & Trine Kjaer & Jørgen Lauridsen, 2011. "Does the number of choice sets matter? Results from a web survey applying a discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 273-286, March.
    3. Acosta, Manuel & Coronado, Daniel & Del Mar Cerban, Ma, 2011. "Bunkering competition and competitiveness at the ports of the Gibraltar Strait," Journal of Transport Geography, Elsevier, vol. 19(4), pages 911-916.
    4. Ghosh, Sugoutam & Lee, Loo Hay & Ng, Szu Hui, 2015. "Bunkering decisions for a shipping liner in an uncertain environment with service contract," European Journal of Operational Research, Elsevier, vol. 244(3), pages 792-802.
    5. Wang, Ying & Yeo, Gi-Tae & Ng, Adolf K.Y., 2014. "Choosing optimal bunkering ports for liner shipping companies: A hybrid Fuzzy-Delphi–TOPSIS approach," Transport Policy, Elsevier, vol. 35(C), pages 358-365.
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    Cited by:

    1. Lorenzo Franchi & Thierry Vanelslander, 2021. "Port Greening: Discrete Choice Analysis Investigation on Environmental Parameters Affecting Container Shipping Companies’ Behaviors," Sustainability, MDPI, vol. 13(13), pages 1-19, June.
    2. Fuentes, Gabriel, 2021. "Generating bunkering statistics from AIS data: A machine learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    3. Seyed Abolfazl Mohseni & Edwin van Hassel & Christa Sys & Thierry Vanelslander, 2019. "Economic evaluation of alternative technologies to mitigate Sulphur emissions in maritime container transport from both the vessel owner and shipper perspective," Journal of Shipping and Trade, Springer, vol. 4(1), pages 1-27, December.

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