Skip to main content
Publications | Persons | Institutes | Projects
[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [367143]
Maritime data collection framework for container port benchmarking
Aronietis, R.; Van Hassel, E.; Vanelslander, T. (2023). Maritime data collection framework for container port benchmarking. J. Mar. Sci. Eng. 11(8): 1557. https://dx.doi.org/10.3390/jmse11081557
In: Journal of Marine Science and Engineering. MDPI: Basel. ISSN 2077-1312; e-ISSN 2077-1312, more
Peer reviewed article  

Available in  Authors 

Keyword
    Marine/Coastal
Author keywords
    port and maritime data; port benchmarking; connectivity; cost; efficiency; environment; regulation

Authors  Top 
  • Aronietis, R., more
  • Van Hassel, E., more
  • Vanelslander, T., more

Abstract
    Container ports play a crucial role in global maritime trade by serving as key transportation hubs for the movement of goods. Their performance differs due to unique local characteristics, creating a need for benchmarking to improve. Trends in trade patterns, supply chains and maritime transport operations can substantially impact on the cargo handling requirement at ports and therefore port performance. The aim of this research is two-fold; first, to examine the current situation, main trends and disruptions affecting maritime container transport and ports, and second, to investigate the key criteria for assessing and benchmarking port performance. Regarding the first objective, for the investigation of the global trends in the liner shipping and container port sector, desk research is performed. Regarding the second, a framework is developed by identifying five areas of interest based on the strategic value of data and selecting the best available data. This allows creating a two-layer data framework that enables the collection of data at the country and port level. The developed framework is applied to gather relevant data points for various container ports, and allows drawing conclusions on the performance of the framework. The results of this research contribute to the understanding of container port performance and may serve as a valuable resource for port operators and researchers in the field. By examining the specific factors that influence port performance, this study provides a foundation for enhancing the comparability of container port operational performance.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors