Mode choice with latent availability and consideration: Theory and a case study
Mode choice with latent availability and consideration: Theory and a case study
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DOI：
10.1016/j.trb.2017.06.016
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发表时间：
2017-09
期刊：
影响因子：
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通讯作者：
C. Calastri;S. Hess;C. Choudhury;A. Daly;L. Gabrielli
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文献类型：
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作者：
C. Calastri;S. Hess;C. Choudhury;A. Daly;L. Gabrielli
在过去的二十年里，被动收集的数据源，如来自数据记录器和智能手机的全球定位系统（GPS）跟踪，已成为了解旅行行为的非常有前途的来源。在这方面，大多数选择模型应用程序都利用专门为选择模型收集的数据，这往往有很高的成本，另一方面，还有许多其他数据来源可以跟踪答卷人的动向。迄今为止，这些数据来源在选择建模方面尚未得到充分利用。事实上，虽然在这些调查中收集了关于所选模式和基本社会人口数据的一些信息，但它们（事实上还有一些专门收集的调查）缺乏关于模式可用性和考虑因素的信息。本文解决了数据的挑战，估计模式选择模型的概率可用性和考虑，使用二次数据集组成的“注释”GPS轨迹。声明模式可用性的样本的一部分，使规格的可用性组件，而面板性质的数据和明确纳入的空间和环境因素，使潜在的行程特定的考虑因素集估计。因此，研究解决了一个重要的行为问题（明确建模的可用性和选择集），除了丰富的数据选择建模的目的。该模型产生合理的结果，包括旅行时间（VTT）的措施有意义的价值。我们的研究结果进一步表明，更好地了解模式的选择，可以通过共同寻找可用性，考虑和选择。
Over the last two decades, passively collected data sources, like Global Positioning System (GPS) traces from data loggers and smartphones, have emerged as a very promising source for understanding travel behaviour. Most choice model applications in this context have made use of data collected specifically for choice modelling, which often has high costs associated with it. On the other hand, many other data sources exist in which respondents’ movements are tracked. These data sources have thus far been underexploited for choice modelling. Indeed, although some information on the chosen mode and basic socio-demographic data is collected in such surveys, they (as well as in fact also some purpose collected surveys) lack information on mode availability and consideration. This paper addresses the data challenges by estimating a mode choice model with probabilistic availability and consideration, using a secondary dataset consisting of ‘annotated’ GPS traces. Stated mode availability by part of the sample enabled the specification of an availability component, while the panel nature of the data and explicit incorporation of spatial and environmental factors enabled estimation of latent trip specific consideration sets. The research thus addresses an important behavioural issue (explicit modelling of availability and choice set) in addition to enriching the data for choice modelling purposes. The model produces reasonable results, including meaningful value of travel time (VTT) measures. Our findings further suggest that a better understanding of mode choices can be obtained by looking jointly at availability, consideration and choice.