Research On Calculation Of Dalian Container Freight Index

The whole province as well as the whole city is addressing itself to the task of buildingDalian to the important international shipping center of Northeast Asia. To build a nowadayinternational shipping center, we have to strengthen not only the hardware facilities, such asdocks, storage and transport conditions, etc., but also the software facilities, such asdistribution service, technical service, information service, law service, insurance service,finance service and so on. With the quickening steps of developing Dalian to the aimedshipping center, calculating Dalian shipping price indices and promoting the function ofDalian Shipping Exchange have been the consensus of all people in Dalian shipping circles.Based upon the special condition of Dalian container shipping market, according to thefoundational theory for index calculation, this paper completely researches the calculationmethods for Dalian Container Freight Index (DCFI). Meanwhile, AHP method and RBFneural network are introduced to the traditional index calculation and analysis methods. Themethods for selecting sample routes and forecasting container indices are innovational.Firstly, this paper summarizes the main problems that should be solved related withindex calculation; according to the plentiful material and data obtained from investigation, thepaper summarizes the actuality of Dalian container shipping market, including thedevelopment process of container service in Dalian port, containership routes, shippingcompanies and so on. Based on this work, according to the foundational methods, principlesfor index calculation and the characteristics of container freight indices, the paper detailedlyand systematically designs the calculation methods for DCFI, including selecting the sampleroutes, selecting the sample shipping companies, choosing the shipping price style, selectingthe calculation formula, selecting the base period, deciding the issue frequency and so on. Atthe same time, based upon the characteristics of RBF neural network and container freightindices, the paper founds a forecast model for container freight indices and tests it by realdata.The result of this paper has significant instructional meanings for the practicalcalculation of DCFI in the near future, and lays the foundation for the practical calculationwork of DCFI.