摘要
通过多元回归、时间序列模型以及灰色预测模型,对青岛市的近20 a对外贸易总额和吞吐量进行分析预测。充分考虑与港口货物吞吐量相关的六种因素指标,构建多元回归方程,运用Eviews软件对各因素的数据进行处理,建立ARIMA模型并对提取的三个指标进行预测,从而对回归模型中的对外贸易进出口总额(因变量)进行总预测,以了解青岛港的运输需求量;采用灰色预测模型并运用MATLAB软件对青岛港的货物吞吐量预测,分析青岛港港口的运输承载力。运用数学模型对港口吞吐量进行科学的评价和预测,能为青岛港制定中长期发展战略提供基本依据,对港口的持续发展的具有一定的现实意义。
Through multiple regression, time series model and grey prediction model, the total foreign trade volume and throughput of Qingdao in the past 20 years were analyzed and predicted.The six factors related to the port cargo throughput and construct multiple regression equations were fully considered.Eviews software was used to process the data of each factor, and an ARIMA model was established and the extracted three indicators were predicted . Thus, the total forecast of foreign trade import and export (dependent variable) in the regression model was predicted in order to understand the transportation demand in Qingdao Port.Based on GM, MATLAB software was used to predict the cargo throughput of Qingdao Port and the carrying capacity of Qingdao Port was analyzed.The scientific evaluation and prediction of port throughput by mathematical model can provide basic basis for Qingdao Port to formulate medium and long term development strategy and have certain practical significance for the sustainable development of the port.
作者
韩以伦
徐新新
HAN Yi-lun;XU Xin-xin(Institute of Transportation,Shandong University of Science and Technology,Qingdao 266590, China)
出处
《水道港口》
2019年第2期241-248,共8页
Journal of Waterway and Harbor
基金
2018年第二批教育部产学合作协同育人项目--"新工科背景下课程建设研究"(201802301002)
