基于径向基和Logistic的民航运输与高铁竞争因素研究

发布时间：2018-11-11 14:54

【摘要】：分析旅客个体出行需求和交通供给对影响民航运输与高铁竞争的因素,选取6个维度17个影响因子,利用径向基(radial basis function,RBF)神经网络和Logistic回归方法分析影响飞机和高铁竞争的主要驱动力.结果表明,RBF神经网络分析得到影响飞机与高铁竞争的驱动因子从大到小依次是运行时间、出行距离、票价、准时性和到站时间;Logistic回归分析得到影响飞机高铁竞争的显著性因素依次是运行时间、出行距离、票价、到站时间和准时性;飞机与高铁竞争受运输方式自身属性(如运行时间、票价和准时性)影响最大,其次是接驳属性(如到站时间),而个体属性和购票属性特征的影响相对较小.
[Abstract]:This paper analyzes the factors that affect the competition between civil aviation transportation and high-speed rail by passenger travel demand and traffic supply, and selects 17 influencing factors from 6 dimensions and uses radial basis function (radial basis function,). RBF) neural network and Logistic regression method are used to analyze the main driving forces affecting the competition between aircraft and high-speed rail. The results show that RBF neural network analysis shows that the driving factors influencing the competition between aircraft and high-speed train are running time, travel distance, ticket price, punctuality and arrival time. Logistic regression analysis showed that the significant factors influencing the competition of high-speed train were running time, travel distance, ticket price, arrival time and punctuality. The competition between aircraft and high-speed rail is mainly affected by the transport mode's own attributes (such as running time, ticket price and punctuality), followed by the connecting attribute (such as arrival time), while the individual attribute and ticket purchase attribute have relatively little influence.
【作者单位】：东南大学交通学院;西安建筑科技大学土木工程学院;现代城市交通技术协同创新研究中心;西部建筑科技国家重点实验室;
【基金】：国家自然科学基金资助项目(51338003) 中国博士后基金资助项目(2015M571644) 陕西省住房城乡建设科技开发计划资助项目(2015-K54) 西安建筑科技大学青年基金重点资助项目(QN1503);西安建筑科技大学人才基金资助项目(RC1248)~~
【分类号】：F511.3;F224.7

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