American Time Use Survey in Modeling Occupant Behavior: A Systematic Review
Document Type
Conference Proceeding
Publication Date
1-1-2024
Abstract
Energy-related occupant behavior can significantly impact building energy consumption. Identifying occupant behavior and individual activity patterns is essential to modeling human-building interaction and buildings' energy performance. American Time Use Survey (ATUS) has been used widely for analyzing occupancy and occupant patterns and developing occupant behavior models in the last few years. This study aims to comprehensively review occupant behavior models in residential sectors built based on ATUS data. First, a total of 31 peer-reviewed articles in which ATUS was used to develop occupant behavior models were collected. Then, a comprehensive analysis of the model inputs, outputs, and methods used in the collected studies, as well as the most practical occupant behavior methods, is presented. Finally, the future research direction in occupant behavior modeling and simulation using time-use data is discussed. The results showed that the Markov Chain method is the most common technique for modeling occupant behavior in building energy simulation.
Publication Source (Journal or Book title)
Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
First Page
77
Last Page
84
Recommended Citation
Vosoughkhosravi, S., & Jafari, A. (2024). American Time Use Survey in Modeling Occupant Behavior: A Systematic Review. Computing in Civil Engineering 2023: Resilience, Safety, and Sustainability - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023, 77-84. https://doi.org/10.1061/9780784485248.010