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  4. Reducing truck congestion at ports – classification and trends
 
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Reducing truck congestion at ports – classification and trends

Citation Link: https://doi.org/10.15480/882.1484
Publikationstyp
Conference Paper
Date Issued
2017-10
Sprache
English
Author(s)
Lange, Ann-Kathrin  orcid-logo
Schwientek, Anne  orcid-logo
Jahn, Carlos  orcid-logo
TORE-DOI
10.15480/882.1484
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1487
Journal
Proceedings of the Hamburg International Conference of Logistics (HICL)  
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL);24
Number in series
24
Start Page
37
End Page
58
Citation
Digitalization in Maritime and Sustainable Logistics
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2017  
Publisher Link
https://www.epubli.de/shop/buch/2000000069148
Publisher
epubli
Truck drayage in container ports faces several challenges. Due to the ongoing growth of container ship sizes, there are increasingly high peak situations in landside container handling at logistic nodes in the port, e.g. container terminals, empty depots, freight stations. In combination with rising demands to improve the port’s ecological footprint this requires the port and its companies to adapt
to the situation in order to reduce congestion. To identify important methods, key parameters, past developments and future trends a classification scheme based on an extensive literature survey on waiting times at terminals and drayage operations is conducted and applied to 71 publications. The analyzed methods to reduce congestion in the port range from optimizing the infrastructure to controlling
truck arrival times. While this problem is mainly analyzed from a container terminal perspective, its impacts also affect other stakeholders in the port as trucking companies, empty depots or freight stations. Past literature surveys mainly focus on either one method or one stakeholder. This led to limited assessments for the whole drayage networks in ports. Therefore, the developed classification scheme is a basis to identify promising further research areas while enabling a
more holistic approach.
Subjects
drayage
port logistics
congestion
classification scheme
DDC Class
330: Wirtschaft
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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