利用顺序陈述适应性实验探索大学生春节出行购票策略:三种比较建模方法

Xiaofeng Pan , Hui Zhang
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引用次数: 0

摘要

中国春节出行高峰的一个特殊现象是,购买火车票变得非常困难,因为火车票可能很快就会售罄。因此,本文采用连续陈述适应实验对大学生春运返乡车票购买策略进行了分析,并在此基础上应用了三种不同的选择模型,结果表明:1)大学生会继续购买计划中的火车票,并且这种意愿会随着抢票失败次数的增加而降低;2)如果大学生决定放弃计划中的常规火车旅行,他们倾向于选择其他常规火车旅行,但高速火车旅行则不然;3)航空旅行是火车旅行,尤其是高速火车旅行的有吸引力的替代品。
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Exploring college students’ purchasing strategies for trip ticket in Chinese Spring Festival using a sequential stated adaptation experiment: three comparative modeling approaches

One specific phenomenon in the Spring Festival travel rush in China is that purchasing a train ticket becomes tough as the train tickets could be sold out extremely soon. Therefore, the current paper presents an analysis of college students’ trip ticket purchasing strategies for homecoming trips during Chinese Spring Festival using a sequential stated adaptation experiment, based on which three different choice models were applied and the results show that 1) college students would keep purchasing the ticket of planned train trip and this willingness would decrease with the increasing of the times they fail to get the ticket; 2) if college students decide to give up the conventional train trip they have planned, they have a tendency to choose other conventional train trips, but it is not the case regarding high-speed train trips; 3) air itinerary trips are attractive alternatives to trains trips, especially to high-speed train trips.

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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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