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Cai, J, Li, Z, Dou, Y and Li, T (2023) Investigating adoption of high prefabrication level technologies for enterprises: an integrated model. Building Research & Information, 51(06), 648–66.

Cai, S and Gou, Z (2023) Synchronization of water-energy consumption in residential and non-residential buildings during COVID-19. Building Research & Information, 51(06), 682–700.

Hidalgo-Sánchez, F M, Torres-González, M, Mascort-Albea, E J, Canivell, J, Romero-Hernández, R and Martín-del-Río, J J (2023) NDT spatial data integration for monumental buildings: technical information management for the Royal Alcazar of Seville. Building Research & Information, 51(06), 625–47.

Liu, F, Chang-Richards, A, Wang, K I and Dirks, K N (2023) Critical indoor environmental factors affecting productivity: perspectives from university staff and postgraduate students. Building Research & Information, 51(06), 730–45.

Liu, K, Liu, Y, Kou, Y, Yang, X and Hu, G (2023) Formation mechanism for collaborative behaviour among stakeholders in megaprojects based on the theory of planned behaviour. Building Research & Information, 51(06), 667–81.

Nikoopayan Tak, M S, Bhattacharya, A, Metcalf, A R and Mousavi, E (2023) Cleanroom air quality: combined effects of ventilation rate and filtration schemes in a laboratory cleanroom. Building Research & Information, 51(06), 717–29.

Wei, L, Liu, G, Liu, W, Li, W and Yuan, Y (2023) Airborne infection risk in classrooms based on environment and occupant behavior measurement under COVID-19 epidemic. Building Research & Information, 51(06), 701–16.

  • Type: Journal Article
  • Keywords: COVID-19; classrooms; environmental characteristics; occupant behavior; airborne infection risk; ventilation;
  • ISBN/ISSN: 0961-3218
  • URL: https://doi.org/10.1080/09613218.2023.2185584
  • Abstract:
    The changes of indoor environment and occupant behavior (OB) are two main causes for the gap between predicted and actual airborne infection risk. To improve the accuracy of COVID-19 airborne infection risk assessment, the environment (CO2 concentration) and OBs (occupant area per person (OA) and activity level (AL)) in three typical classrooms of a primary school in Tianjin, China was selected to conduct the on-site measurement. Based on the measured data, a modified Wells-Riley model was proposed to predict the infection risk, and a risk-controlled ventilation strategy was developed to calculate the ventilation demand. Results indicated that classrooms in the breaking time (B-T) showed a lower indoor CO2 concentration (C in), larger OA, and higher AL than in the teaching time (T-T). The variation tendency of the calculated infection risk increment in T-T was consistent with C in while in B-T was significantly affected by OA and AL, and the maximum fluctuation extent in B-T was two times of that in T-T. Moreover, to avoid the risk spreading in classrooms, a feasible solution of dynamic ventilation control based on the real-time infection risk was proposed, thus facilitating to provide a healthy and sustainable environment for students in classrooms.