Value of Time estimation considering Automated Vehicle Impacts (VOTAVI)

出行时间价值（VOT）已成为出行需求建模、出行行为分析、交通政策和投资评估的重要工具。随着自动驾驶汽车（AVs）和自动城市空中交通（UAM）等自主模式的引入，人们对VOT的看法从根本上发生了变化，因为自动驾驶汽车使个人能够在旅行中执行多项任务。VOTAVI旨在为自动驾驶汽车时代的VOT估计定义一个新的方法框架，利用创新的数据收集方法，可以更彻底地探索潜在的个人特征对他们选择的影响。VOTAVI将基于对当前计时研究价值的关键评估，系统地进行检查，并提供反映新兴生活方式、技术突破和不同活动环境下新的移动概念的创新改进。在自动驾驶汽车时代，从旅行时间最小化范式中退出的可能性需要确定影响旅行观念的因素（包括新的生活方式、偏好和行为）。VOTAVI的目标是双重的：a)通过创建一系列调查来探索这些因素，这些调查将调查旅行时间在揭示偏好（RP）和陈述偏好（SP）的新使用中的价值；b)探索新的数据收集技术的潜力，为探索VOT变化提供更彻底的调查。这项调查将通过基于网络的偏好调查和智能手机应用程序的开发来实施。开发的工具将通过考虑车内活动参与、个人性格特征、对自动驾驶汽车的态度以及其他传统因素（如交通方式、旅行目的、行驶距离和可靠性）来评估自动驾驶汽车对VOT感知的潜在影响。基于收集到的经验数据，该项目将开发使用离散选择模型的新方法来研究自动驾驶汽车在不同场景下的VOT。该项目被组织成四个工作包。WP1致力于基于web的SP实验设计和实现VOT估计。WP2有助于智能手机应用程序原型的开发。WP3致力于RP/SP实验，使用基于智能手机的应用程序进行试点研究和广泛部署。WP4致力于VOT估计的数据分析和模型开发。我们采用灵活的项目管理，在WPs之间有重叠。

Value of travel time, or interchangeably, value of time (VOT) has been a crucial instrument for travel demand modeling, travel behavior analytics, transport policy, and investment evaluation. With the introduction of autonomous modes, such as autonomous vehicles (AVs), but also autonomous Urban Air Mobility (UAM), the perception of VOT is fundamentally changed as AVs enable individuals the capability of performing multiple tasks while traveling. VOTAVI aims at defining a novel methodological framework for the estimation of VOT in the era of AVs, utilizing innovative data collection methods that would allow to explore more thoroughly the impact of latent personal characteristics on their choices. VOTAVI will systematically examine, based on a critical assessment of the current state of the art of value of timing research and offer innovative improvements that reflect emerging lifestyles, technological breakthroughs, and new mobility concepts in different activity contexts. The potential of receding from the travel time minimization paradigm in the era of autonomous vehicles requires the identification of the factors that influence perceptions on travel (including new sets of lifestyles, preferences, and behaviors). VOTAVI goal is twofold: a) provide an exploration of these factors by the creation of a series of surveys that would investigate the value of travel time in a novel use of both revealed preference (RP) and stated preference (SP); and b) explore the potential of novel data collection techniques to provide a more thorough investigation for the exploration of VOT changes. This investigation will be implemented through the development of both a web-based stated preference survey and a smartphone app. The developed instruments will allow assessing the potential impact of AVs on VOT perception by considering in-vehicle activity participation, individual personality traits, attitudinal towards AVs, and other conventional factors like transport mode, trip purpose, distance traveled and reliability. Based on the collected empirical data, the project will develop new methodologies using discrete choice models to investigate VOT under different scenarios of AVs. The project is organized into four work packages. WP1 is devoted to web-based SP experiments design and implementation for VOT estimation. WP2 contributes to smartphone application prototype development. WP3 is dedicated to RP/SP experiments using the smartphone-based app for both pilot studies and its wide deployment. WP4 is devoted to data analysis and model development for VOT estimation. We adopt flexible project management with overlaps between the WPs.