Abstract
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.
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