With the rapid development of China's economy, the widespread adoption of air conditioning in residential areas has enhanced the comfort of residents but also led to increased energy consumption and environmental burden. This study utilizes Structural Equation Modeling (SEM) to analyze the impact of factors such as living environment, economic conditions, psychological tendencies, social influences, and cultural awareness on air conditioning behavior. The results indicate that living environment, economic conditions, and psychological tendencies significantly promote air conditioning usage, while social influences and cultural awareness effectively curb excessive use. Specifically, a good living environment reduces reliance on air conditioning, high income and low electricity prices encourage increased usage, and residents with strong environmental consciousness are more inclined to use air conditioning in an energy-efficient manner. Based on these findings, this study proposes strategies to improve the living environment, strengthen government policy incentives, promote energy-saving culture, and enhance social influences and individual behavior management, aiming to reduce energy consumption and emissions from air conditioning use, thus contributing to sustainable environmental development.

Yu Pan, Haiyan Yan. Study on the Factors Influencing Residential Building Air Conditioning Behavior Based on SEM. Academic Journal of Engineering and Technology Science (2025), Vol. 8, Issue 1: 65-72. https://doi.org/10.25236/AJETS.2025.080110.

[1] Li X, Chambers J, Yilmaz S, et al. A Monte Carlo building stock model of space cooling demand in the Swiss service sector under climate change [J]. Energy and Buildings, 2021, 233: 110662.

[2] Ruiz L, Pegalajar M, Molina-Solana M, et al. A case study on understanding energy consumption through prediction and visualization (VIMOEN) [J]. Journal of Building Engineering, 2020, 30: 101315.

[3] Dai L, Li Z, Chen X, et al. Usage behavior characteristics of household air-conditioners during the extremely hot summer–A case study of Chongqing [J]. Building and Environment, 2023, 234: 110160.

[4] Yao R, Li B, Liu J. A theoretical adaptive model of thermal comfort–Adaptive Predicted Mean Vote (aPMV) [J]. Building and environment, 2009, 44(10): 2089-2096.

[5] Borghero L, Clèries E, Péan T, et al. Comparing cooling strategies to assess thermal comfort resilience of residential buildings in Barcelona for present and future heatwaves [J]. Building and Environment, 2023, 231: 110043.

[6] Hu S, Yan D, Qian M. Using bottom-up model to analyze cooling energy consumption in China's urban residential building [J]. Energy and Buildings, 2019, 202: 109352.

[7] Menezes A C, Cripps A, Bouchlaghem D, et al. Predicted vs. actual energy performance of non-domestic buildings: Using post-occupancy evaluation data to reduce the performance gap [J]. Applied energy, 2012, 97: 355-364.

[8] Hoes P, Hensen J L, Loomans M G, et al. User behavior in whole building simulation [J]. Energy and buildings, 2009, 41(3): 295-302.

[9] Jian Y, Liu J, Pei Z, et al. Occupants’ tolerance of thermal discomfort before turning on air conditioning in summer and the effects of age and gender [J]. Journal of Building Engineering, 2022, 50: 104099.

[10] Sardianou E. Estimating energy conservation patterns of Greek households [J]. Energy policy, 2007, 35(7): 3778-3791.

[11] Hu S, Yan D, Dong B, et al. Exploring key factors impacting cooling usage patterns of Chinese urban household based on a large-scale questionnaire survey [J]. Energy and Buildings, 2020, 214: 109885.

[12] Zhu M, Huang Y, Wang S-N, et al. Characteristics and patterns of residential energy consumption for space cooling in China: Evidence from appliance-level data [J]. Energy, 2023, 265: 126395.

[13] Indraganti M. Behavioural adaptation and the use of environmental controls in summer for thermal comfort in apartments in India [J]. Energy and buildings, 2010, 42(7): 1019-1025.

[14] Goldsworthy M, Poruschi L. Air-conditioning in low income households; a comparison of ownership, use, energy consumption and indoor comfort in Australia [J]. Energy and Buildings, 2019, 203: 109411.

[15] Song Y, Sun Y, Luo S, et al. Residential adaptive comfort in a humid continental climate–Tianjin China [J]. Energy and Buildings, 2018, 170: 115-121.

[16] Nikolopoulou M, Steemers K. Thermal comfort and psychological adaptation as a guide for designing urban spaces [J]. Energy and buildings, 2003, 35(1): 95-101.

[17] Trotta G. Factors affecting energy-saving behaviours and energy efficiency investments in British households [J]. Energy policy, 2018, 114: 529-539.

[18] Schweiker M, Shukuya M. Investigation on the relationship between occupants' individual difference and air-conditioning usage during nighttime in summer [J]. Journal of Environmental Engineering(Transaction of AIJ), 2008, 73(633): 1275-1282.

[19] Nolan J M, Schultz P W, Cialdini R B, et al. Normative social influence is underdetected [J]. Personality and social psychology bulletin, 2008, 34(7): 913-923.

[20] De Leeuw A, Valois P, Ajzen I, et al. Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: Implications for educational interventions [J]. Journal of environmental psychology, 2015, 42: 128-138.