Pougala, J., Hillel, T., and Bierlaire, M. (2021)

Capturing trade-offs between daily scheduling choices

We propose a new modelling approach for daily activity scheduling which integrates the different daily scheduling choice dimensions (activity participation, location, schedule, duration, and transportation mode) into a single optimisation problem. The fundamental behavioural principle behind our approach is that individuals schedule their day to maximise their overall derived utility from the activities they complete, according to their individual needs, constraints and preferences. By combining multiple choices into a single optimisation problem, our framework is able to capture the complex trade-offs between scheduling decisions for multiple activities, such as how spending longer in one activity will reduce the time-availability for other activities or how the order of activities changes the travel-times. The implemented framework takes as input a set of considered activities, with associated location and mode-of-travel, and uses these to produce empirical distributions of individual schedules given a set of considered activities, from which different daily schedules can be drawn. The model is illustrated using historic trip diary data from the Swiss Mobility and Transport Microcensus. The results demonstrate the ability of the proposed framework to generate complex distributions of starting time and duration for different activities within the tight time constraints.