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A latent class joint mode and departure time choice model for the Greater Toronto and Hamilton Area
Transportation ( IF 3.5 ) Pub Date : 2020-02-19 , DOI: 10.1007/s11116-020-10092-1
Sanjana Hossain , Md. Sami Hasnine , Khandker Nurul Habib

This paper presents a closed-form Latent Class Model (LCM) of joint mode and departure time choices. The proposed LCM offers compound substitution patterns between the two choices. The class-specific choice models are of two opposing nesting structures, each of which provides expected maximum utility feedback to the corresponding class membership model. Such feedback allows switching class membership in response to the changes in choice contexts. The model is used for an empirical investigation of commuting mode and departure time choices in the Greater Toronto and Hamilton Area (GTHA) by using a large sample household travel survey dataset. The empirical model reveals that overall 38% of the commuters in the GTHA are more likely to switch modes than departure times and 62% of them are more likely to do the reverse. The empirical model also reveals that the average Subjective Value of Travel Time Savings (SVTTS) of the commuters in the GTHA can be as low as 3 dollars if a single choice pattern of departure time choices nested within mode choices is considered. It can also be as high as 67 dollars if the opposite nesting structure is assumed. However, the LCM estimates the average SVTTS to be around 27 dollars in the GTHA. An empirical scenario analysis by using the estimated model indicates that a 50% increase in morning peak period car travel time does not sway more than 4% of commuters from the morning peak period.

中文翻译:

大多伦多和汉密尔顿地区的潜在类联合模式和出发时间选择模型

本文提出了联合模式和出发时间选择的封闭式潜在类模型 (LCM)。提议的 LCM 提供了两种选择之间的复合替代模式。特定于类的选择模型具有两个相反的嵌套结构,每个结构都向相应的类成员模型提供预期的最大效用反馈。这种反馈允许根据选择上下文的变化切换班级成员。该模型通过使用大样本家庭旅行调查数据集,对大多伦多和汉密尔顿地区 (GTHA) 的通勤模式和出发时间选择进行了实证调查。实证模型显示,在 GTHA 中,总体上 38% 的通勤者比出发时间更有可能转换模式,而其中 62% 的人更有可能相反。实证模型还表明,如果考虑嵌套在模式选择中的出发时间选择的单一选择模式,GTHA 中通勤者的平均出行时间节省主观价值 (SVTTS) 可低至 3 美元。如果假设相反的嵌套结构,它也可以高达 67 美元。但是,LCM 估计 GTHA 中的平均 SVTTS 约为 27 美元。使用估计模型进行的实证情景分析表明,早高峰时段汽车出行时间增加 50% 不会影响早高峰时段超过 4% 的通勤者。如果假设相反的嵌套结构,它也可以高达 67 美元。但是,LCM 估计 GTHA 中的平均 SVTTS 约为 27 美元。使用估计模型进行的实证情景分析表明,早高峰时段汽车出行时间增加 50% 不会影响早高峰时段超过 4% 的通勤者。如果假设相反的嵌套结构,它也可以高达 67 美元。但是,LCM 估计 GTHA 中的平均 SVTTS 约为 27 美元。使用估计模型进行的实证情景分析表明,早高峰时段汽车出行时间增加 50% 不会影响早高峰时段超过 4% 的通勤者。
更新日期:2020-02-19
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