PORT METATRENDS

PORT METATRENDS: Impact of long term trends on business activities, spatial use and maritime infrastructure requirements in the Port of Rotterdam

van Dorsser, Cornelis (TU Delft Rivers, Ports, Waterways and Dredging Engineering)
Taneja, P. (TU Delft Rivers, Ports, Waterways and Dredging Engineering)
Vellinga, T. (TU Delft Rivers, Ports, Waterways and Dredging Engineering)

2018-11-05

This report presents a new three step approach for developing a shared vision on the future development of the port of Rotterdam. The first step concerns a novel three layered framework for analysing future developments. In this step relevant trends are identified and placed in a broader 'meta'-perspective of a three layered framework, whereby different layers relate to trends of varying inertia (or duration). This multi-layered approach results in a sharper view of the future, which narrows down the ‘plausible’ future space. The second step concerns a new approach in which trend based narratives are used to identify threats and opportunities for the port. The insights from the three layered trend analysis are translated into sixteen well-structured storylines or ‘narratives’, that take the strengths and weaknesses of the port of Rotterdam as a starting point and thus address threats and opportunities specific to the port. The narratives indicate which activities are likely to claim scarce space in the port over the next two decades. They help to form ideas about a future-proof clustering of activities, the required space in the port, as well as the required infrastructure and utilities. The third step concerns creating a spatial development strategy based on the insights provided by the narratives.

trends
narratives
port infrastructures

http://resolver.tudelft.nl/uuid:2ae283d9-2acc-4abd-97dd-bd67a4b1e07b

Report is prepared on behalf of SmartPort. Research started early 2017. Submission of first draft on 29th of January 2018. Final delivery 5 November 2018. Including executive summary in English and Dutch.

Institutional Repository

report

© 2018 Cornelis van Dorsser, P. Taneja, T. Vellinga