Research and Evaluation on the Effect of Wuhan Xingang Resource Integration Based on System Dynamic Model

Article Preview

Abstract:

The port plays an important role in integrating resources, adjusting region industry structure, and driving the fast development of region economy. With the progressive escalating of the port competition and the effective integration of port resources, it can effectively promote the exchange and communication of regional talents, information, funds, logistics and other production elements , strengthen regional association of resources, integrate regional resources, and enhance the whole region, develop regional economic integration. This paper can provide strong evidence for making Port resource integration decision and policy suggestions using system dynamics model of Wuhan Xingang integration of research results, repeated inspection and analysis of the simulation results, for the port resource integration decision-making and policy recommendations.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

3321-3324

Citation:

Online since:

May 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhang Ping. The interactive research on system dynamics model [D]. Doctoral dissertation of Hehai University, (2006)

Google Scholar

[2] Cao Zhongxi . Realization of port resource integration and Optimization – such as Shanghai combination harbor [J]. Port economy, 2005 (1)

Google Scholar

[3] Xu Qin. Resource integration research on Zhejiang Province port [J]. Navigation of China, 2006 (3)

Google Scholar

[4] Peter W.de.langen, Evert-Jan Visser. Collective action regimes in seaport clusters: the case of the Lower Mississippi port cluster. Journal of Transport Geography 2005 (13)

DOI: 10.1016/j.jtrangeo.2004.04.010

Google Scholar

[5] Xi Yan. Combinatorial port based on system dynamics research and development [J]. Journal of system simulation, 2008 (20)

Google Scholar