ETHOS.ActivityAssure Dataset

The ETHOS.ActivityAssure dataset is an aggregated activity dataset derived from the HETUS 2010 time use survey. It is intended to enable reusable and reproducible validation of various behavior models.

The ETHOS.ActivityAssure software framework belongs to this dataset, and together they can be used to validate activity profiles, e.g. the results of an occupant behavior model. It provides modules for preprocessing and categorising activity profiles, and comparing them to the statistics in this dataset using indicators and plots. It also contains the code that was used to create this dataset out of the HETUS 2010 data, so that the generation of this dataset is fully reproducible.

Activity Profile Categorization

The HETUS dataset consists of many single-day activity profiles. These cannot be made publicly accessible due to data protection regulations. The idea of the ETHOS.ActivityAssure dataset is to aggregate these activity profiles using a meaningful classification, to provide behavior statistics for different types of activity profiles. For that, the attributes country, sex, work status, and day type are used.

Activity Statistics

Human behavior is complex, and in order to thorougly validate it, multiple aspects have to be taken into account. Therefore, the ETHOS.ActivityAssure dataset contains distributions for duration and frequency of each activity, as well as the temporal distribution throughout the day. For that purpose, a set of 15 common activity groups is defined. The mapping from the 108 activity codes used in HEUTS 2010 is provided as part of the validation framework.

File Overview

For convenience, the ETHOS.ActivityAssure dataset is provided both as .tar.gz and as .zip archive. Both files contain the same content, the full activity validation dataset.
Additionally, the document ActivityAssure_data_set_description.pdf contains a more thorough description of the dataset, including its file structure, the content and meaning of its files, and examples on how to use it.