Abstract
ABSTRACT This paper presents the findings of an activity-based tour-level model that jointly investigates individuals’ decisions of activity-tour participation, time allocation, and mode choice. A multiple discrete continuous extreme value (MDCEV) model is developed that explores the participation and time allocation decisions for mandatory, maintenance, and discretionary activity-tour types. Mixed logit (MXL) models are developed to evaluate the mode choice decisions of individuals for different activity-based tours. Logsum values, which represent the modal accessibility, are introduced within the MDCEV modeling framework as feedback mechanisms from mixed logit models that exclusively examine the influence of individuals’ mode choice on their activity-tour engagement decisions as well as ensure the integrity of the decision modeling system. Findings of this study would assist the policymakers to develop effective strategies for better transportation investment decisions.
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