Abstract
This paper presents an econometric framework of jointly modelling daily activity scheduling (activity type, time expenditure, and location choices known as the CUSTOM system) and travel mode choice considering Random Utility Maximization (RUM) behaviour. The joint model is applied to model workers’ daily activity-travel demand with flexible work arrangement choices. The joint framework is flexible to capture workers’ activity-travel patterns under different workplace (telecommuting, not telecommuting, or hybrid) arrangement options. The model is empirically estimated using datasets collected in the Greater Toronto Area (GTA) in 2021. The analysis explores how different workplace arrangements affect activity-travel demand. The model is calibrated to simulate scenarios where the distribution of work-from-home workers varied between the levels observed from 2016 to 2021. The scenario analysis validates the behavioural predictability of the joint CUSTOM system. This highlights the potential of the agent-based activity-based modelling system to forecast the influence of disruptive events on travel behaviours.
Published Version
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