Utilising physiological data for augmenting travel choice models: methodological frameworks and directions of future research
Utilising physiological data for augmenting travel choice models: methodological frameworks and directions of future research
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DOI：
10.1080/01441647.2023.2175274
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发表时间：
2023-02-14
影响因子：
9.8
通讯作者：
Choudhury，Charisma F.
中科院分区：
文献类型：
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作者：
Hancock，Thomas O.;Choudhury，Charisma F.
最近的技术和方法进步导致了将更广泛的数据纳入旅行选择模型的可能性。特别是，诸如眼睛跟踪信息、皮肤电导、心率记录和脑电(EEG)等生理数据已经成为有希望的信息来源，可以用来洞察决策过程以及决策者的心理状态。然而，利用这些数据源并将其与移动数据相结合以改进最先进的出行行为模型的方法研究仍然非常有限。在本文中，我们讨论了使用这些新兴的生理数据来源的主要好处，回顾了不同类型的生理数据的应用，并强调了它们的优点和缺点。特别注意将这些类型的数据纳入旅行行为的计量经济学选择模型的两个不同的通用框架。第一个框架使用生理传感器数据作为潜在变量的指示器，而在第二个框架中，它们被用作外生变量。我们找出了研究的差距，并勾勒出了未来方法论和应用研究的方向，这些研究需要更好地将生理数据用于旅行选择模型。
Recent technological and methodological advances have led to the possibility of a wider range of data being incorporated into travel choice models. In particular, physiological data such as eye-tracking information, skin conductance, heart rate recordings and electroencephalogram (EEG) have emerged as promising sources of information that could be used to gain insights into the decision-making process as well as the decision-maker's state of mind. However, research on methodologies to utilise these data sources and to integrate them with mobility data for advancing state-of-the-art travel behaviour models is still very limited. In this paper, we discuss the key benefits of using these emerging sources of physiological data, review applications of different types of physiological data and highlight their strengths and weaknesses. Particular attention is paid to two different generic frameworks for integrating these types of data into econometric choice models of travel behaviour. The first framework involves using physiological sensor data as indicators of latent variables while in the second framework, they are used as exogenous variables. We identify the research gaps and outline the directions for future methodological and applied research required to better utilise the physiological data for travel choice models.