Port Efficiency Evaluation Based On Neural Network

Port is not only a transportation hub of the network, but also an important part of the economy system. With the continuous expansion of Chinese foreign trade, the competition between ports is intensifying. Therefore, all ports must constantly improve their efficiency, that is, with the minimum input and the best output, the port can be in an invincible position of the domestic and international competition.Efficiency evaluation can help port authorities to make planes and policies, help to measure the difference of efficiency level and help to optimize resource allocation. Also, it can provide basis to the core competitiveness of the port, which is meaningful to the development of the port. Though there are many methods in the port efficiency study and they have achieved some results, there are still some defects. Therefore, this paper will use the BP neural network model to evaluate the efficiency of the port and choose the top 10 companies of port throughput in 2008 for the study. We select the length of the berths, the number of cranes, the number of field bridges, the yard area and the draft as the input indicators and select the container throughput, the container throughput growth rate as the output indicators for the comparison of port efficiency.This paper consists five chapters, the first chapter introduce research background, meaning, purpose, method and content of this paper; the second chapter give a brief description of port efficiency evaluation in domestic and foreign; the third chapter introduce the neural network; the fourth chapter use the neural network to evaluate the efficiency of container terminals and apply principal component analysis of the factors to analysis the efficiency of terminals after selecting the input indicators and the output indicators; the last chapter gives the conclusion and expectation.