Network Capacity Estimation of Vessel Traffic: An Approach for Port Planning
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 143, Issue 5
Abstract
Port capacity is an essential parameter for the assessment of port performance. In the literature, there is no unanimous capacity definition, which depends on each research goal. Vessel traffic in ports and the corresponding port performance indicators have been analyzed with different simulation models, but they generally do not include a method for determining a port’s capacity. Guidelines or other studies using empirical data also have not addressed this important topic. The method developed in this paper estimates the port network traffic capacity (PNTC) by using vessel traffic data. The analysis and comparison of several indicators are used to identify meaningful relationships for estimating port capacity with generic applicability to any port design. The relation between the total number of trips in the port and the ratio of waiting time to service time seems to be the most suitable for identifying when the port reaches unstable flow situations, that is, when it reaches capacity. The method has been applied successfully in six scenarios with various berths, layouts, service times, vessel fleet types, and maneuvering times. Application of the method is useful during the port-planning phase, because with a few simulations, an indicative PNTC value for each design can be inferred, and thus, different scenarios can be compared.
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Acknowledgments
This research was part of the research program Nautical Traffic Model Based Design and Assessment of Safe and Efficient Ports and Waterways sponsored by the Netherlands Organization for Scientific Research (NWO). The authors thank the editor and two anonymous reviewers for their helpful comments, which improved the analysis and the description of this work.
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Published In
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 143 • Issue 5 • September 2017
Copyright
This work is made available under the terms of the Creative Commons Attribution 4.0 International license, http://creativecommons.org/licenses/by/4.0/.
History
Received: Jan 19, 2016
Accepted: Jan 19, 2017
Published online: May 17, 2017
Published in print: Sep 1, 2017
Discussion open until: Oct 17, 2017
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