Reporting and hypothetical biases are inherent to canonical methods of transportation data collection and had implied that analysis in this field has often neglected aspects that are strong behavioral drivers, such as uncertainty, physical effort or stress. Granular information on these aspects would allow measuring their valuation and/or addressing a pervasive source of endogeneity. Recent advances in miniaturization and data processing, as well as evidence that indicators from biosensors correlate with psychophysiological states and emotions, suggest that there is an opportunity to close this gap by collecting a new type of data from transportation users. This research works on leveraging this opportunity by putting forward, illustrating and testing a methodological framework to incorporate psychophysiological indicators gathered from biosensors into transportation choice behavioral modeling. The proposed framework adapts the integrated choice and latent variable approach by incorporating the psychophysiological responses as additional indicators of a latent psychophysiological state that covariates with utility. For the practical implementation of the proposed framework we also consider a specific form of aggregation of the indicators across time to avoid the curse of dimensionality arising from the unmanageably large number of folds for integration. The proposed framework is illustrated and validated using Monte Carlo simulations. Besides, a prototype field experiment was designed and performed to confirm the validity of three crucial components of the proposed framework: (i) the relation between transportation markers and emotions; (ii) the possibility of measuring those emotions through biosensors installed on travelers, (iii) and the validity of the proposed aggregation needed for practicality. In the experiment, a public transportation user travelled wearing a Printed Circuit Board that integrated tiny biosensors to capture electrodermal activity, heart rate variation, temperature and acceleration. Results provide positive evidence for the research questions, suggesting the convenience of developing larger data collection efforts in the future to take full advantage of the new framework.

报告和假设偏差是运输数据收集的规范方法所固有的，并暗示该领域的分析通常忽略了行为驱动力强的方面，例如不确定性，体力劳动或压力。有关这些方面的详细信息将允许测量其评估和/或解决内生性的普遍来源。微型化和数据处理方面的最新进展，以及来自生物传感器的指标与心理生理状态和情绪相关的证据，表明有机会通过从运输用户那里收集新型数据来弥合这一差距。这项研究旨在通过利用这一机会来利用这一机会，说明并测试了将从生物传感器收集的心理生理指标整合到运输选择行为模型中的方法框架。拟议的框架通过将心理生理反应纳入作为与效用相关的潜在心理生理状态的其他指标，从而适应了综合选择和潜在变量方法。对于拟议框架的实际实施，我们还考虑跨时间汇总指标的一种特定形式，以避免因不可控制的大量折叠而引起的维数诅咒。使用蒙特卡洛模拟对提出的框架进行了说明和验证。除了，设计并进行了原型现场实验，以确认所提出框架的三个关键组成部分的有效性：（i）交通标志与情绪之间的关系；（ii）通过安装在旅行者上的生物传感器测量这些情绪的可能性，以及（iii）实用性所需的拟议汇总的有效性。在实验中，一名公共交通用户穿着一块印刷电路板旅行，该印刷电路板集成了微型生物传感器，以捕获皮肤电活动，心率变化，温度和加速度。结果为研究问题提供了积极的证据，表明在将来开发更大的数据收集工作以充分利用新框架的便利。（ii）通过安装在旅行者上的生物传感器测量这些情绪的可能性，以及（iii）实用性所需的拟议汇总的有效性。在实验中，一名公共交通用户穿着一块印刷电路板旅行，该印刷电路板集成了微型生物传感器，以捕获皮肤电活动，心率变化，温度和加速度。结果为研究问题提供了积极的证据，表明在将来开发更大的数据收集工作以充分利用新框架的便利。（ii）通过安装在旅行者上的生物传感器测量这些情绪的可能性，以及（iii）实用性所需的拟议汇总的有效性。在实验中，一名公共交通用户穿着一块印刷电路板旅行，该印刷电路板集成了微型生物传感器，以捕获皮肤电活动，心率变化，温度和加速度。结果为研究问题提供了积极的证据，表明在将来开发更大的数据收集工作以充分利用新框架的便利。一位公共交通用户穿着印刷电路板旅行，该印刷电路板集成了微型生物传感器，可以捕获皮肤电活动，心率变化，温度和加速度。结果为研究问题提供了积极的证据，表明在将来开发更大的数据收集工作以充分利用新框架的便利。一位公共交通用户穿着印刷电路板旅行，该电路板集成了微型生物传感器，可以捕获皮肤电活动，心率变化，温度和加速度。结果为研究问题提供了积极的证据，表明了将来为充分利用新框架而进行更大的数据收集工作的便利。