Capturing trade-offs between daily scheduling choices

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