Prof. Dr.-Ing. Carlos Jahn

Adresse

Technische Universität Hamburg
Institut für Maritime Logistik
Am Schwarzenberg-Campus 4 (D)
21073 Hamburg

 

Kontaktdaten

Büro: Gebäude D Raum 5.002a
Anmeldung bei Fr. Beckmann (Raum 5.003)
Tel.: +49 40 42878 4450
Fax: +49 40 42731 4478
E-Mail: carlos.jahn(at)tuhh(dot)de
ORCiD: 0000-0002-5409-0748



Veröffentlichungen (Auszug)

2024

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2023

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2022

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2021

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2020

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2019

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2018

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2017

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2016

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2015

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2014

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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

2013

[182431]
Title: Reducing truck congestion at ports – classification and trends. <em>Proceedings of the Hamburg International Conference of Logistics (HICL)/Digitalization in Maritime and Sustainable Logistics</em>
Written by: Lange, Ann-Kathrin and Schwientek, Anne K. and Jahn, Carlos
in: <em>HICL 2017</em>. (2017).
Volume: Number:
on pages: 37-58
Chapter:
Editor: In Jahn, Carlos and Kersten, Wolfgang and Ringle, Christian M. (Eds.)
Publisher: epubli:
Series: Proceedings of the Hamburg International Conference of Logistics (HICL)
Address: Berlin
Edition:
ISBN: 9783745043327
how published:
Organization:
School:
Institution:
Type:
DOI: 10.15480/882.1484
URL:
ARXIVID:
PMID:

[pdf]

Note:

Abstract: 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