| There are many small freight yards within Guangzhou hub, which causes the low efficiency of the whole hub. Meanwhile, different freight yards, which belong to different interest groups, caused increasingly competition and resulted in a vicious competition.In this thesis, the author firstly introduced the scope and layout features of Guangzhou hub. then,the author analyzed the feature, capacity, freight origin and freight activity. Finally,the prospects of the hub are showed in this thesis.The hub is divided into the eastern hub, western hub and north hub according to scope. Cargoes are classified into bulk cargoes, moisture-proof cargoes and container goods. The adaptive and learning capacity radial-based neural network-based RBF is used on the basis of that. On the basis of analyzing the historical data, freight volume of various parts of the Guangzhou railway hub is forecasted. Thus the Resource Integration of the entire hub and the choice of Center freight yard are formed based on the data.Furthermore,the author analyzes rail freight yard layout,dedicated line, human resources,cargo businesses,cargo equipments,information resources, customer resources within the hub, and then the integration programs are formed gradually so as to integrate the freight resources of the whole railway hub effectively.Finally, three options are showed in this thesis on the basis of the actual situation of Guangzhou railway hub, which are evaluated and chosen by using the fuzzy-based DEA evaluation methods. In the end, Da-tian freight yard is considered as the most suitable option for main freight yard center on the basis of the specific conditions of Guangzhou railway hub and technical indicators of each freight yard field. |
PDF Full Text Request