Kong, F., 2019. Dynamic regulation method of maritime port transportation cost based on multiple regression. In: Hoang, A.T. and Aqeel Ashraf, M. (eds.), Research, Monitoring, and Engineering of Coastal, Port, and Marine Systems. Journal of Coastal Research, Special Issue No. 97, pp. 205–210.

In order to improve the control ability of the transportation cost of the sea port, a dynamic adjustment model of the transportation cost of the sea port based on the multiple regression analysis is proposed. the sea port transportation cost statistical analysis model is adopted to carry out the large-data information fusion processing of the transportation cost of the sea port, and the structure of the sea port transportation cost dynamic control model is constructed, in that dynamic control model of the transportation cost of the sea port, material cost information, transportation material information, material cost information and the like associated with the transportation cost of the sea port are merged, and the related information characteristic quantity of the transportation cost of the sea port is extracted, The multiple regression analysis of the transportation cost of the sea port is carried out by the principal component analysis method, and the self-adaptive optimization control of the transportation cost of the sea port is realized, and the regression analysis model with the highest transport efficiency and the lowest cost of the sea port is established to realize the dynamic regulation of the transportation cost of the sea port. The simulation results show that the model can be used to carry out the dynamic regulation of the transportation cost of the sea port, and the accuracy of the forecast of the transportation cost of the sea port is high.