Chapter
Apr 26, 2012

Modeling and Its Analysis on the Gross Cargo Throughput

Publication: International Conference on Transportation Engineering 2007

Abstract

Aiming to describe the developing trends of the gross cargo throughput, a model of describing the distribution of cargo throughput is proposed. The gross cargo throughput was direct related to the number of cargo ships arriving at the port and the operating efficiency of handling equipment. A compound variable, being composed of the number of cargo ships arriving at the port and the operating efficiency of handling equipment, is constructed. The gross cargo throughput is the sum of all compound variables which indicated the cargo throughput each time when cargo ships arrived at the port. Probability distribution of cargo throughput was acquired using wald equation. It shows that the distribution of the gross cargo throughput depended on the probability distribution of the number of cargo ships arriving at the port. The model can overcome previous shortcomings: the previous ones can not describe the probability of the specific value of gross cargo throughput in future properly. Meanwhile, the distribution model of cargo throughput was proposed depending on the relationship between the number of cargo ships arriving at the port and the operational capability of handling equipment in the port. At the same time, some factors which affect the gross cargo throughput are analyzed. In order to testify the efficiency of the model, the cargo volume of a port in Shandong province was taken as an example. Case study shows that actual results coincide with theoretical analysis.

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Go to International Conference on Transportation Engineering 2007
International Conference on Transportation Engineering 2007
Pages: 3624 - 3629

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Published online: Apr 26, 2012

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De-rong Tan [email protected]
School of Transportation and Vehicle Engineering, Shandong University of Technology. E-mail: [email protected]
School of Transportation and Vehicle Engineering, Shandong University of Technology. E-mail: [email protected]
Jian-zhen Sun [email protected]
Department of Information Engineering, Shandong Youth College. E-mail: [email protected]

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