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Transactions: WSEAS TRANSACTIONS ON MATHEMATICS
Transactions ID Number: 53-744
Full Name: Jun Wang
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: College of Management Economic£¬Tianjin University £¬Tianjin 300072£¬China
Country: CHINA
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E-mail address: tdgy100512@yahoo.cn
Other E-mails: mjhtju@yahoo.com.cn
Title of the Paper: Applied research on the coexistence relationship between Tianjin Port and inland transportation system based on population ecology model
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Number of paper pages: 12
Abstract: First, this article takes container throughput of Tianjin Port as an example to estimate the future port scale by using genetic algorithms. Then this article applies BP neural network to compare the advantages and disadvantages of Tianjin Port and its competitors by analyzing the data of listed port companies. Finally, this article does some research on the coexistence relationship between port and transportation. The results show that Tianjin Port¡¯s scale is beyond the inflection point of Growth curve, its speed of development will slow down. High administration cost and the lag of inland transportation construction are two major factors which constrain Tianjin Port¡¯s development. After coexistence relationship analysis we find that the develop speeds of port and inland transportation should reach a reasonable proportion to remain symbiotic relationships.
Keywords: port, population ecology model, genetic algorithms, BP neural network, inherent complexities
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