Container terminal capacity is a crucial issue for port and terminal operators nowadays as it is one of the key points for their success and increasing their competitive market position in the maritime industry. Therefore, researchers have tried to find solutions for the over capacity problem that faces many terminal operators. This research suggests dry ports as one of the most suitable solution for this problem through proposing a structured framework to adopt the right policy decisions for Dry Port location and capacity. To achieve the presented framework some areas were addressed in detail to have the full picture clear. The current status of the global container sector was assessed, also, the main capacity problems of container terminals with a view to reviewing the suggested solutions was investigated, hence the need for dry ports. In addition, policies for providing optimal location and capacity decisions for container terminals were identified. A technique that supports assessing container terminal location and capacity policy decisions with particular reference to dry ports were developed. Moreover, a case study on Alexandria International Container Terminal for validating the results was conducted. The current research was facilitated by experts from the maritime transport industry, through the application of the Delphi Technique. Applying such a technique enables collaborating experts to share experience modify statements and re-asking to reach a final exact answer that could be generalized. The consensus achieved will help build knowledge and understanding of potential Dry Ports’ policies of the maritime transport sector. This research seeks to make an original contribution to knowledge by developing a structured framework to identify policy decisions for location and capacity of Dry Ports using a Delphi technique as a support tool for terminal managers and operators, port planners, policy makers, and investors in deciding decisions relevant to Dry Port investment.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:692912 |
| Date | January 2016 |
| Creators | ElGarhy, Aya Mostafa |
| Publisher | University of Plymouth |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/10026.1/5196 |
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