This deliverable as part of WP 3 task 3.1 (Exploring behavioural changes through numerical simulations) is having two major aims pertaining respectively to sub task 3.1.1 (Model developments and enrichment) and 3.1.2 (Evaluation and prediction of lifestyle scenarios). As part of task 3.1.1, the deliverable presents the Activity-based model (FEATHERS), its complete structure, data requirements and transferability mechanism to be able to applied in other cities. The version of FEATHERS reported in this deliverable follows an econometric approach where discrete choice models are estimated and arranged in a hierarchical manner to predict the entire daily activity-travel schedule of a synthetic individual of a given city/region. Additionally, a method is developed to integrate in-home activities scheduling alongside out-of-home activities schedules. The methodological details presented in this deliverable to enrich activity-travel schedule with in-home activities is novel and based on the idea that there exist interactions in relation to individual’s participation decisions between in-home and out-of-home activities. This is given by an addition of
in-home and out-of-home activities time allocation model at the top of the hierarchy and then predicting activity-travel schedules that preserve the time allocated for in-home activities. Furthermore, the allocated time for in-home activities is then distributed in to 6-broardly classified activities by estimating models to predict their types and durations using available time use surveys. The estimated model parameters are then further calibrated using aggregate time use statistics available for Belgium, Italy and Dublin to ascertain results from the model in close agreement with the behaviour of individuals in these countries.

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