This paper presents the estimation and microsimulation results of tour-level shared travel choice, activity participation and time allocation decisions. It estimates shared travel choices for mandatory, maintenance and discretionary activity-tours by developing mixed logit models. To understand behavioral complexities of different activity attributes, this study develops a multiple discrete–continuous extreme value model that estimates the joint decision of activity-based tour participation and time allocation. It accommodates the influence of individuals’ social utility within the modeling framework, which is represented by logsum values derived from shared travel decisions. Furthermore, this study presents the microsimulation of individuals’ shared travel choice, activity participation and time allocation decisions over a simulated period within an activity-travel modeling system – shorter-term decisions simulator (SDS). SDS modeling framework implements a feedback from shared travel choice to activity participation decisions via logsum values, so that the activity-travel decisions are simulated in a more behaviourally plausible way.

本文介绍了旅游级共享旅行选择、活动参与和时间分配决策的估计和微观模拟结果。它通过开发混合 logit 模型来估计强制、维护和自由活动旅行的共享旅行选择。为了理解不同活动属性的行为复杂性，本研究开发了一个多重离散连续极值模型，该模型估计基于活动的旅游参与和时间分配的联合决策。它在建模框架内适应个人社会效用的影响，由来自共享旅行决策的对数和值表示。此外，本研究提出了个人共享旅行选择的微观模拟，在活动旅行建模系统中模拟期间的活动参与和时间分配决策 - 短期决策模拟器（SDS）。SDS 建模框架通过对数和值实现了从共享旅行选择到活动参与决策的反馈，从而以更加行为合理的方式模拟活动-旅行决策。