Modelling the dynamics between tour-based mode choices and tour-timing choices in daily activity scheduling
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Modelling the dynamics between tour‑based mode choices and tour‑timing choices in daily activity scheduling Md Sami Hasnine1 · Khandker Nurul Habib1
© Springer Science+Business Media, LLC, part of Springer Nature 2019
Abstract The paper presents a dynamic discrete–continuous modelling approach to capture individuals’ tour-based mode choices and continuous time expenditure choices tradeoffs in a 24-h time frame. The analysis of traditional activity-based models are typically limited to activity-type, location and time expenditure choices. Besides, mode choice is often simplified to fit in a pre-defined activity schedule. However, decisions of tour departure time, tour mode choice and time expenditure choice for out-of-home activities are intricately inter-related, and common unobserved attributes influence these choices. This paper proposes a random utility maximization based dynamic discrete–continuous model for joint tour based mode and tour timing choices. Tour timing choice is modelled as continuous time allocation/ consumption choice under 24-h time-budget. In the case of the tour-based mode choice component, it uses a modelling structure which harnesses the power of dynamic programming and discrete choice. A cross-sectional household travel survey dataset collected in the Greater Toronto and Hamilton Area in 2016 is employed for the empirical investigation in this study. Empirical model shows the capability of handling all possible mode combinations within a tour including ride-hailing services (e.g., Uber, Lyft). Empirical results reveal that individuals variations in time expenditure choice are defined by activity type, employment status, and vehicle ownership. In terms of mode choice, it is clear the emerging transportation service users have different travel pattern than conventional mode users. This modelling framework has the potential to test a wide range of policies. Keywords Dynamic discrete–continuous modelling · Time expenditure choice · Tourbased mode choice · Tour departure time · Uber · Ride-hailing
* Md Sami Hasnine [email protected] Khandker Nurul Habib [email protected] 1
Department of Civil Engineering, University of Toronto, 35 St George Street, Toronto, ON M5S1A4, Canada
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Transportation
Introduction In the context of an activity-based modelling (ABM) system, the time constraint is shaped by depleting time budget with increasing number of activities and the space constraint is defined by activity locations and work/home locations. Such dynamic time–space constraint is a fundamental tenet of the ABM system; however, most of the operational ABM tend to simplify the scheduling process that may force to overlook the dynamics of scheduling behaviour. In particular, in the case of out-of-home activities, tour departure time, tour-based mode choice and time expenditure choice need to comply with the time–space constraint and these elements are inter-related as well (Jara-Díaz 2003). A tour refers to a chain of trips that starts from a po
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