Abstract
Some contemporary developments in the maritime sector are discussed and their connection to Maritime Informatics considered. Increased attention has lately been placed upon smartness and maritime operations, such as smart ships and smart ports. Operations are becoming electrified and automated. The future of maritime commerce will be founded on process simplification, standardisation, connectivity, controllability, efficiency, and predictability. The volumes of data shared through digital data streams (DDSs) will expand dramatically in the coming years, and new opportunities for enhanced transparency will surface, and there will be new avenues for collaboration. Such opportunities will enhance the quality of a common situational awareness along the maritime transport chain.
Keywords
- Maritime commerce
- Sustainability
- Automation
- Electrification
- Digital data sharing
- Collaboration
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Bajpai, P. (2020). Autonomous shipping: Trends and innovators in a growing industry. Nasdaq. Retrieved from https://www.nasdaq.com/articles/autonomous-shipping%3A-trends-and-innovators-in-a-growing-industry-2020-02-18
Becha, H., Schroeder, M., Voorspuij, J., Frazier, T., & Lind, M. (2020). Global data exchange standards: The basis for future smart container digital services. In M. Lind, M. P. Michaelides, R. Ward, & R. T. Watson (Eds.), Maritime informatics. Heidelberg: Springer.
DNV GL. (2018). Maritime forecast to 2050 – Energy transition outlook 2018. DNV GL Maritime.
European Commission. (2020). A European Strategy on data. Communication from the Commission to the European Parliament, The Council, The European Economic and Social Committee and the Committee of the regions, Brussel, February 19, 2020.
HANSA International Maritime Journal. (2019). In this industry, change is constant. Interview with Jonathan C. Williams, General Manager of FONASBA. Retrieved from https://hansa-online.de/2019/11/schifffahrt/140080/
Haraldson, S., Lind, M., Breitenbach, S., Croston, J. C., Karlsson, M., & Hirt, G. (2020). The port as a set of socio-technical systems: A multi-organisational view. In M. Lind, M. P. Michaelides, R. Ward, & R. T. Watson (Eds.), Maritime informatics. Heidelberg: Springer.
Henriksson, B. (2020). Automated container terminals are taking off. ABB. Retrieved from https://new.abb.com/marine/generations/technology/automated-container-terminals-are-taking-off
Hvid Jensen, H. (2020). 5 Ways to digitalize logistics and boost trade. World Economic Forum. Retrieved from https://www.weforum.org/agenda/2020/02/how-the-global-logistics-industry-can-collaborate-to-increase-trade-and-reduce-poverty/
Lind, M., Bergmann, M., Haraldson, S., Watson, R. T., Park, J., Gimenez, J., & Andersen, T. (2018). Port Collaborative Decision Making (PortCDM). An enabler for Port Call Optimization empowered by international harmonization, Concept Note #1, STM Validation Project https://www.ipcdmc.org/galerie
Lind, M., Simha, A., & Becha, H. (2020a). Creating value for the transport buyer with Digital Data Streams. 9/3-2020, Maritime executive. Retrieved from https://www.maritime-executive.com/editorials/creating-value-for-the-transport-buyer-with-digital-data-streams
Lind, M., Ward, R., Watson, R. T., Haraldson, S., Zerem, A., & Paulsen, S. (2020b). Decision support for port visits. In M. Lind, M. P. Michaelides, R. Ward, & R. T. Watson (Eds.), Maritime informatics. Heidelberg: Springer.
Lo, C. (2019). Maritime 2050: Five talking points from the UK’s vision for shipping. Ship Technology. Retrieved from https://www.ship-technology.com/features/future-shipping-industry-maritime-2050/
Marr, B. (2019). The incredible autonomous ships of the future: Run by artificial intelligence rather than a crew. Forbes. Retrieved from https://www.forbes.com/sites/bernardmarr/2019/06/05/the-incredible-autonomous-ships-of-the-future-run-by-artificial-intelligence-rather-than-a-crew/#5f0b7bb86fbf
Pigni, F., Piccoli, G., & Watson, R. T. (2016). Digital data streams: Creating value from the real-time flow of big data. California Management Review, 58(3), 5–25.
Pigni, F., Watson, R. T., & Piccoli, G. (2020). Digital twins: Representing the future. Working paper. University of Georgia.
Rowles, G. (2020). Optimisation to drive technology advancement in 2020. Splash247. Retrieved from https://splash247.com/optimisation-to-drive-technology-advancement-in-2020/?suid=SU00042&medium=li&cmp=340
Sames, P. (2019). The tipping points: Digital acceleration and climate change. Maritime Impact, DNV-GL. Retrieved from https://www.dnvgl.com/expert-story/maritime-impact/The-tipping-points-Digital-acceleration-and-climate-change.html
Simha, A. (2019a). Can improved visibility take shipping to the next level? Retrieved from https://www.linkedin.com/pulse/can-improved-visibility-take-shipping-next-level-andre-simha/
Simha, A. (2019b). Are we reaping the full value of our data in shipping? Retrieved from https://www.linkedin.com/pulse/we-reaping-full-value-our-data-shipping-andre-simha/
UK. (2019). Maritime 2050 – Navigating the future. Department for Transport, Great Minister House. Retrieved from https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/773178/maritime-2050.pdf
UNECE. (2019). Smart Containers: Real-time Smart Container data for supply chain excellence. White paper, version 1. UN/CFACT, UNECE. Retrieved from http://www.unece.org/fileamin/DAM/cefact/GuidanceMaterials/WhitePapers/WP-SmartContainers_Eng.pdf
Vartdal, B. J., Skjong, R., & St.Clair, A. L. (2018). Remote-controlled and autonomous ships. DNV GL Maritime.
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Lind, M. et al. (2021). The Future of Shipping: Collaboration Through Digital Data Sharing. In: Lind, M., Michaelides, M., Ward, R., T. Watson, R. (eds) Maritime Informatics. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-030-50892-0_9
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