This paper focuses on the tour-based mode choice pattern of the post-secondary students of the Greater Toronto and Hamilton Area (GTHA). The data for this study was collected from a detailed online-based survey in the GTHA. Based on the survey data, the mode choice model for two-trip tours and three-trip tours is estimated using a dynamic discrete choice modeling approach. The model results capture the complicated travel behavior of the students of this area, and it is seen that travel time, distance, cost, and personal preferences influence a student to make the decision as to which tour-mode combination they would choose for different types of tours. International students are seen to choose transit more over driving. Students going to urban institutions are flexible in taking both driving and transit, and it is similar for part-time students too. Female students have mode choice preferences based on their age range. Female students who are comparatively younger are flexible in taking transit, whereas relatively aged female students prefer driving more. Policy scenario analysis reveals an interesting trend in mode choice preference. In any unavoidable situation, students’ preference changes from taking transit to driving if travel distance increases but an increment in travel time makes them shift toward taking transit instead of driving.

中文翻译：

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大都市地区大学生模式选择行为建模：一种基于动态游览的方法


本文重点介绍了大多伦多和汉密尔顿地区 （GTHA） 大专院校学生基于游览的模式选择模式。本研究的数据是从 GTHA 的一项详细的在线调查中收集的。根据调查数据，使用动态离散选择建模方法估计了 2 次旅行和 3 次旅行的模式选择模型。模型结果捕捉了该地区学生复杂的旅行行为，可以看出，旅行时间、距离、成本和个人偏好会影响学生决定他们将为不同类型的旅行选择哪种旅行模式组合。国际学生被认为更多地选择公共交通而不是开车。前往城市机构的学生在开车和公交方面都很灵活，非全日制学生也是如此。女学生根据其年龄范围选择模式。相对年轻的女学生在乘坐公共交通时比较灵活，而相对年龄较大的女学生更喜欢开车。政策情景分析揭示了模式选择偏好的一个有趣趋势。在任何不可避免的情况下，如果行驶距离增加，学生的偏好会从乘坐公共交通变为开车，但旅行时间的增加使他们转向乘坐公共交通而不是开车。