Chapter
Jan 25, 2024

American Time Use Survey in Modeling Occupant Behavior: A Systematic Review

Publication: Computing in Civil Engineering 2023

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.

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REFERENCES

“American Time Use Survey.” (n.d.). <https://www.bls.gov/tus/#news.>.
Barthelmes, V. M., Li, R., Andersen, R. K., Bahnfleth, W., Corgnati, S. P., and Rode, C. (2018). “Profiling occupant behaviour in Danish dwellings using time use survey data.” Energy and Buildings, 177.
Chen, S., Yang, W., Yoshino, H., Levine, M. D., Newhouse, K., and Hinge, A. (2015). “Definition of occupant behavior in residential buildings and its application to behavior analysis in case studies.” Energy and Buildings, 104.
Chiou, Y. S. (2009). “Deriving U.S. household energy consumption profiles from american time use survey data - a bootstrap approach.” IBPSA 2009 - International Building Performance Simulation Association 2009.
Chiou, Y. S., Carley, K. M., Davidson, C. I., and Johnson, M. P. (2011). “A high spatial resolution residential energy model based on American Time Use Survey data and the bootstrap sampling method.” Energy and Buildings, 43(12).
Ferdous, N., Eluru, N., Bhat, C. R., and Meloni, I. (2010). “A multivariate ordered-response model system for adults’ weekday activity episode generation by activity purpose and social context.” Transportation Research Part B: Methodological, 44(8–9).
Gershuny, J., and Sullivan, O. (2015). UK Time Diary StudyUnited Kingdom Time Use SurveyUnited Kingdom Time Use Survey.
ISTAT. (2013). “Multipurpose survey on households: Time use.” Istituto Nazionale di Statistica, <https://www.istat.it/en/archivio/202524>.
Johnson, B. J., Starke, M. R., Abdelaziz, O. A., Jackson, R. K., and Tolbert, L. M. (2014a). “A method for modeling household occupant behavior to simulate residential energy consumption.” 2014 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014.
Johnson, B. J., Starke, M. R., Abdelaziz, O. A., Jackson, R. K., and Tolbert, L. M. (2014b). “A MATLAB based occupant driven dynamic model for predicting residential power demand.” Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference.
Johnson, B. J., Starke, M. R., Abdelaziz, O. A., Jackson, R. K., and Tolbert, L. M. (2015). “A dynamic simulation tool for estimating demand response potential from residential loads.” 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015.
Koupaei, D. M., Hashemi, F., Tabard-Fortecoef, V., and Passe, U. (2019a). “Development of a modelling framework for refined residential occupancy schedules.” Building Simulation Conference Proceedings.
Koupaei, D. M., Hashemi, F., Tabard-Fortecoëf, V., and Passe, U. (2019b). A technique for developing high-resolution residential occupancy schedules for urban energy models. Simulation Series.
Lee, J., Kim, T. W., and Koo, C. (2022). A novel process model for developing a scalable room-level energy benchmark using real-time bigdata: Focused on identifying representative energy usage patterns. SSRN.
Li, Y., Yamaguchi, Y., and Shimoda, Y. (2022). “Impact of the pre-simulation process of occupant behaviour modelling for residential energy demand simulations.” Journal of Building Performance Simulation, 15(3).
Lund, A., Gouripeddi, R., and Facelli, J. C. (2020). “Generation and Classification of Activity Sequences for Spatiotemporal Modeling of Human Populations.” Online Journal of Public Health Informatics, 12(1).
Malekpour Koupaei, D., Cetin, K. S., and Passe, U. (2022). “Stochastic residential occupancy schedules based on the American Time-Use Survey.” Science and Technology for the Built Environment.
Malekpour Koupaei, D., Hashemi, F., Tabard-Fortecoëf, V., and Passe, U. (2020). “Development Of A Modeling Framework For Refined Residential Occupancy Schedules In An Urban Energy Model.” Proceedings of Building Simulation 2019: 16th Conference of IBPSA.
Mo, Y. (2018). Occupant Behavior Prediction Model Based on Energy Consumption Using Machine Learning Approaches. Michigan State University.
Mo, Y., and Zhao, D. (2021). “Application of occupant behavior prediction model on residential big data analysis.” BuildSys 2021 - Proceedings of the 2021 ACM International Conference on Systems for Energy-Efficient Built Environments.
Olawale, O. W., Gilbert, B., and Reyna, J. (2022). “Residential Demand Flexibility: Modeling Occupant Behavior using Sociodemographic Predictors.” Energy and Buildings, 262.
Osman, M., and Ouf, M. (2021). “A comprehensive review of time use surveys in modelling occupant presence and behavior: Data, methods, and applications.” Building and Environment.
Rakha, T., Sherif, T., and Velipasalar, S. (2021). A Stochastic Occupancy Modeling Approach to Enhance the Energy Efficiency of Residential Heating and Cooling through Occupancy Sensing Technology.
Richardson, I., Thomson, M., and Infield, D. (2008). “A high-resolution domestic building occupancy model for energy demand simulations.” Energy and Buildings, 40(8).
Song, L., Liu, H., Lyu, S., Niu, X., Hou, T., Ma, Y., and Lyu, Q. (2022). “Exploring human behavior patterns and socio-demographic factors based on American Time Use Survey.” Concurrency and Computation: Practice and Experience.
Statistics Bureau of Japan. (2021). “Outline of the 2021 Survey on Time Use and Leisure Activities.” <https://www.stat.go.jp/english/data/shakai/2021/gaiyo.html>.
Subbiah, R., Pal, A., Nordberg, E. K., Marathe, A., and Marathe, M. V. (2017). “Energy Demand Model for Residential Sector: A First Principles Approach.” IEEE Transactions on Sustainable Energy, 8(3).
Vosoughkhosravi, S., Dixon-Grasso, L., and Jafari, A. (2022). “The impact of LEED certification on energy performance and occupant satisfaction: A case study of residential college buildings.” Journal of Building Engineering, 59.
Wilke, U., Haldi, F., Scartezzini, J. L., and Robinson, D. (2013). “A bottom-up stochastic model to predict building occupants’ time-dependent activities.” Building and Environment, 60.
Yoshino, H., Hong, T., and Nord, N. (2017). “IEA EBC annex 53: Total energy use in buildings—Analysis and evaluation methods.” Energy and Buildings, 152.
Yu, M. G., and Pavlak, G. (2021). “Assessing the Value of Uncertainty­Aware Transactive Control Framework for Commercial and Residential Buildings.” International High Performance Buildings Conference.
Zhai, Z. J., and Helman, J. M. (2019). “Implications of climate changes to building energy and design.” Sustainable Cities and Society, 44.

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Go to Computing in Civil Engineering 2023
Computing in Civil Engineering 2023
Pages: 77 - 84

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Published online: Jan 25, 2024

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Sorena Vosoughkhosravi, S.M.ASCE [email protected]
1Ph.D. Student, Bert S. Turner Dept. of Construction Management, Louisiana State Univ., Baton Rouge, LA. Email: [email protected]
Amirhosein Jafari, Ph.D., A.M.ASCE [email protected]
2Assistant Professor, Bert S. Turner Dept. of Construction Management, Louisiana State Univ., Baton Rouge, LA. Email: [email protected]

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