Macro-, meso-, and micro-level validation of an activity-based travel demand model

Abstract

Validation is an essential part of the model development process for practical applications in the real-world context. This paper focuses on how and at which level the validation of activity-based travel demand models must be performed. It then examines the spatial transferability, as a validation test, of an activity-based model, TASHA (Travel Activity Scheduler for Household Agents). This paper applies the TASHA model to the Island of Montreal, Canada, using the 2003 Origin–Destination (O–D) travel survey and the 2001 Canadian Census, and validates the transfer by comparing modelled and observed activity attributes at three different levels of aggregation. Validation results at different levels (especially at macro-, and meso-level) seem quite promising. TASHA can successfully reproduce activity behaviours of another context, at least for fixed activities (work, school) with a few exceptions.

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