Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/217536 
Erscheinungsjahr: 
2019
Quellenangabe: 
[Journal:] Journal of Shipping and Trade (JST) [ISSN:] 2364-4575 [Volume:] 4 [Issue:] 4 [Publisher:] SpringerOpen [Place:] London [Year:] 2019 [Pages:] 1-26
Verlag: 
SpringerOpen, London
Zusammenfassung: 
Container Barging forms an important mode of transportation especially in large seaports with a strong inland waterway connectivity. This is because it is Cost-efficient and environmental friendly compared to the other modes of transportation. Despite the significant importance, container barge transportation is faced with several challenges and inefficiencies. One of these challenges is the large waiting time of barges in large container seaports which has negatively impacted the reliability of barge transportation. It is due to these challenges that this study seeks to examine the reasons for barge congestion and poor handling to propose possible solutions to these problems. In achieving these objectives, a quantitative methodological approach was adopted for the study in which agent-based modelling was developed to analyze the different scenarios developed in the study. An impact assessment of each of the different scenarios was conducted to identify the most suitable that would address congestion and handling issues around container barging. The study concluded that the presence of sea vessels and the high priority given to these vessels are major causes of barge congestion in large seaports, hence the study recommends dedicated barge berthing spaces at each terminal. Appropriate smaller cranes should also be invested in, to enhance the handling of the barges.
Schlagwörter: 
Barge operators
Terminal operators
Hinterland transport
Barge handling
Sea vessels
Shippers Sea ports
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe





Publikationen in EconStor sind urheberrechtlich geschützt.