Abstract: “Internet Plus” convenient traffic speeds up the deep integration of the internet and transportation. Firstly, in view of the characteristics of highway passenger travel behavior, the factors that affected the acceptability of “internet plus highway passenger transport” were analyzed. Secondly, based on the sample data of questionnaire survey on Guangzhou travelers acceptability of “internet plus highway passenger transport”, the travellers acceptability of current “internet plus highway passenger transport” ticketing system was analyzed by adopting the method of correlation analysis and cross analysis from three aspects, such as the modes of passenger to buy ticket, the frequency to view information by “internet plus” mode and the satisfaction to “internet plus” ticketing system. Finally, the orderly multi-classification Logistic regression model with cumulative probability was established to analyze its acceptability characteristics in the future development of “internet plus highway passenger transport” from four aspects, such as real-time scheduling, dynamic fare, carpooling and transfer as well as coupon mechanism, which aimed to explore the targeted development strategy of “internet plus highway passenger transport” to travelers.

Key words: traffic and transportation engineering, traffic management, correlation analysis, orderly multi-classification Logistic regression model, internet plus highway passenger transportation, acceptability

摘要： “互联网+”便捷交通加快互联网与交通运输领域的深度融合。首先针对公路客运出行行为特征，分析了影响出行者对“互联网+公路客运 ”接受度的因素。其次，基于广州出行者对“互联网+公路客运”的接受度特性问卷调查的样本数据，采用相关性分析与交叉分析的方法，从公路 客运出行购票方式、“互联网+”模式查看信息频率、“互联网+”模式票务系统满意度等方面对出行者对现有“互联网+公路客运”票务系统接受 度特性进行分析。最后，建立了累积概率的有序多分类 Logistic模型，并从实时排班、动态票价、拼车换乘和联票机制4个方面分析该模型在“ 互联网+公路客运”未来发展接受度特性，旨在探寻“互联网+公路客运”对出行者有针对性的发展策略。

关键词: 交通运输工程, 交通管理, 相关性分析, 有序多分类Logistic回归, 互联网+公路客运, 接受度