Modality style –defined as a set of frequent travel modes characterizing the travelers’ habits, routines, and predispositions– is a key player in forming dynamics of travelers’ mode choice behavior. This study aims to uncover the dynamics of modal preferences while the Mobility-on-Demand (MoD) services operate in the market. Using the 2017 National Household Travel Survey data, a Multiple Discrete Continuous Extreme Value model is developed to analyze the dynamics of individuals’ modality style. This model enables us to take into consideration marginal rates of substitutions between different transportation modes. Variables of interest in this analysis include the frequency of use of mobility-on-demand (MoD) services as well as the frequency of walking, biking, transit, and auto trips over the course of a month. The results of this study offer city planners and policymakers an opportunity to better understand the factors underlying modality styles, and which priorities to focus on when designing a sustainable development plan for resident-centric Smart Cities. According to the results, age, work status, education, auto availability, and the built environments are among the significant contributors to the modality styles. The results also indicate that the extent of the substitution relationship between transit and MoD services is highly context dependent.

模态风格（定义为代表旅行者习惯，习惯和倾向的一组频繁出行模式）是形成旅行者模式选择行为动态的关键角色。这项研究旨在揭示市场上按需移动（MoD）服务运行时模式偏好的动态。使用2017年全国家庭旅行调查数据，开发了一个多重离散连续极值模型来分析个人形态方式的动态变化。该模型使我们能够考虑不同运输方式之间的边际替代率。此分析中感兴趣的变量包括按需移动（MoD）服务的使用频率以及一个月内的步行，骑自行车，过境和自动出行的频率。这项研究的结果为城市规划者和政策制定者提供了一个机会，使他们能够更好地了解模式方式的因素，以及在以居民为中心的智能城市设计可持续发展计划时应重点关注的优先事项。根据结果​​，年龄，工作状态，教育程度，汽车可用性以及所构建的环境是模式样式的重要贡献者。结果还表明，转接和MoD服务之间的替代关系程度在很大程度上取决于上下文。内置环境是模式样式的重要贡献者。结果还表明，转接和MoD服务之间的替代关系程度在很大程度上取决于上下文。内置环境是模式样式的重要贡献者。结果还表明，转接和MoD服务之间的替代关系程度在很大程度上取决于上下文。