PIANC Yearbook 2023 is now published

Author: 1kastner

docs/references.bib

@@ -118,7 +118,6 @@ @online{meisel2011unified-software
 }
 
 @inproceedings{edes2024estimating,
-    abstract = {Vessel delays and increased terminal call sizes negatively impact the ability to properly plan daily operations at seaport container terminals. Such traffic patterns lead to, among others, infrequent peak loads at the seaside of container terminals, complicating terminal operations. Thus, relying on annual or monthly statistics fails to account for these day-to-day fluctuations. When container terminals are planned, be it a greenfield or brownfield terminal, these variations in operations need to be accounted for. The traditional formula-based approach to design terminals uses annual statistics. In this study, it is first used to produce estimates for the required yard capacity for three existing exemplary container terminals. These are then compared to the results of numerical experiments using the synthetic container flow generator ConFlowGen. The findings reveal that yard capacity requirements fluctuate considerably depending on the timing of vessel arrivals and their call sizes. This dynamic modeling proved particularly beneficial for planning gateway traffic, offering more accurate storage capacity predictions. Suggestions are made for how to further develop ConFlowGen for handling transshipment traffic better in future versions.},
     author = {Édes, Luc and Kastner, Marvin and Jahn, Carlos},
     title = {On Estimating the Required Yard Capacity for Container Terminals},
     url = {https://link.springer.com/chapter/10.1007/978-3-031-56826-8_13},
@@ -129,16 +128,16 @@ @inproceedings{edes2024estimating
     booktitle = {Dynamics in Logistics},
     booksubtitle = {Proceedings of the 9th International Conference LDIC 2024, Bremen, Germany},
     year = {2024},
-    address = {Cham, DE},
+    address = {Cham, CH},
     doi = {10.1007/978-3-031-56826-8_13},
 }
 
 @incollection{kastner2023synthetically,
-    abstract = {More than 80 % of world trade is delivered via sea, making the maritime supply chain a very important backbone for the economy (UNCTAD 2020). Containerized trade regularly outperforms other types of transport in terms of growth, coinciding with consistent increases of average container vessel sizes (UNCTAD 2020). Container terminal operations are heavily affected by this development, since less but larger port calls create unwanted peaks and stress on the terminals and the hinterland. Not all container terminals are affected equally by the described situation. Economic cycles and events such as the global COVID-19 pandemic or the Russian war in Ukraine change the global supply chains, trade characteristics and transport demands between ports in the world. In 2004, Hartmann proposed an approach to create scenarios for simulation and optimization in the sense of container terminal planning and logistics. Due to the significant changes in maritime trade over the years, a new approach for generating synthetic container flow data became practical. In 2021, we introduced a rethought and reworked approach on this topic.The proposed tool, named ConFlowGen, aims to assist planners, scientists, and other maritime experts with providing comprehensive container flow scenarios based on minimal inputs and assumptions of the user. In this paper, we introduce ConFlowGen's general principle of operation in an exemplary use case in the context of container terminal planning.},
     author = {Kastner, Marvin and Grasse, Ole},
     title = {{Synthetically generating traffic scenarios for simulation-based container terminal planning}},
-    booktitle = {{PIANC Yearbook 2023 [Preprint]}},
-    year = {2023},
+    booktitle = {{PIANC Yearbook 2023}},
+    year = {2024},
+    pages = {3--17},
     doi = {10.15480/882.5156},
-    url = {https://tore.tuhh.de/entities/publication/c7ae66d0-4165-44e9-8481-7057af2bc775}
+    url = {https://pianc.app.box.com/s/vhe61hcxttpakyihjda76pk552itajmc}
 }