Abstract
Since IMO’s recent approval of the E-navigation strategy, projects like EfficienSea2 have focused on improving information exchange, safety and efficiency of navigation. To identify current gaps and potential development opportunities, this study investigated the current maritime network, typical work practices and technologies through qualitative research with the Swedish Vessel Traffic Services, coastal pilots and navigation instructors. Maritime operations happen within a resilient sociotechnical system where ship- and shore-based operators work in cooperation to achieve common goals. However, the low interconnection of information technologies was evident, and basic local navigational information was dispersed, sometimes conflicting or inaccessible, increasing uncertainty and complicating decision-making for ship- and shore-based stakeholders. New e-navigation solutions may not only alter work processes but also the organisation of the maritime network.
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Notes
- 1.
The VTS is a shore-based organisation that monitors and helps coordinate traffic, providing updated local information to vessels navigating the respective VTS area around ports [8]. VTSs can provide one of the three services: Information Service (INS), Traffic Organisation Service (TOS), or Navigational Advice and Assistance Service (NAS) [9, 10], being INS the most common one [11], present in Gothenburg and Malmö. Pilotage is a service provided to the ship for a fee and is compulsory in many ports. Pilots are mariners with detailed local knowledge who board a ship to help the captain navigate, berth or unberth safely and efficiently in constricted waters [12].
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Acknowledgments
The authors would like to thank the European Commission and its project EfficienSea2 [grant nr. 636329] for financial support.
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Costa, N.A., Lundh, M., MacKinnon, S.N. (2018). Identifying Gaps, Opportunities and User Needs for Future E-navigation Technology and Information Exchange. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_16
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