Thermal–Spatial Strategies for Rural Dwellings: Environment–Behaviour Nexus in Northern China
DOI:
https://doi.org/10.21834/e-bpj.v11i36.7810Keywords:
Thermal Comfort, Spatial Configuration, Rural Environment, Environment–Behaviour StudiesAbstract
Rapid rural transformation in northern China poses challenges to thermal adaptation and residential satisfaction amid changing climatic conditions. This study investigates the interrelationships among spatial configuration, material properties, courtyard morphology, and occupants’ adaptive behaviours in rural housing contexts. Based on survey data collected from 383 respondents and analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM), the study evaluates the structural relationships linking dwelling typology, thermal comfort, and residential satisfaction. The findings reveal that dwelling typology significantly influences spatial organisation, courtyard performance, and perceived thermal comfort. Moreover, spatial configuration serves as a mediating factor in shaping residential satisfaction. These insights contribute to the formulation of climate-responsive rural housing strategies that integrate passive environmental design with occupant-driven adaptive behaviours.
References
Aste, N., Del Pero, C., & Leonforte, F. (2022). Toward building sector energy transition. In Handbook of Energy Transitions (pp. 127–150). CRC Press. DOI: https://doi.org/10.1201/9781003315353-9
Chen, Y., & Misni, A. (2025). Comparative analysis of sustainable design strategies in Sanheyuan vernacular and modern dwellings: Effects on summer microclimate in Sha Tun village, Handan, Hebei Province, China. Journal of Asian Architecture and Building Engineering, 1–25. DOI: https://doi.org/10.1080/13467581.2025.2585698
De Dear, R., Xiong, J., Kim, J., & Cao, B. (2020). A review of adaptive thermal comfort research since 1998. Energy and Buildings, 214, 109893. DOI: https://doi.org/10.1016/j.enbuild.2020.109893
Du, J., & Chen, B. (2024). Indoor thermal environment and adaptive behaviors in summer of urban households in northern China: Status and trend. Energy and Buildings, 324, 114916. DOI: https://doi.org/10.1016/j.enbuild.2024.114916
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50. DOI: https://doi.org/10.1177/002224378101800104
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research methods in applied linguistics, 1(3), 100027. DOI: https://doi.org/10.1016/j.rmal.2022.100027
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial management & data systems, 116(1), 2-20. DOI: https://doi.org/10.1108/IMDS-09-2015-0382
Huang, K. T., Lin, T. P., & Lien, H. C. (2015). Investigating thermal comfort and user behaviors in outdoor spaces: A seasonal and spatial perspective. Advances in Meteorology, 2015(1), 423508. DOI: https://doi.org/10.1155/2015/423508
Ibrahim, A., Ali, H., Abuhendi, F., & Jaradat, S. (2020). Thermal seasonal variation and occupants’ spatial behaviour in domestic spaces. Building Research & Information, 48(4), 364-378. DOI: https://doi.org/10.1080/09613218.2019.1681928
Lee, Y., & Ng, E. (2025). Enhancing thermal performance of subtropical low-income housing through passive and behaviour-guided adaptive design. Building and Environment, 113542. DOI: https://doi.org/10.1016/j.buildenv.2025.113542
Muqoffa, M., Suyitno, Yaningsih, I., Rachmanto, R. A., Himawan, K., Caroko, N., & Basuki. (2025). Exploring natural ventilation strategies in Javanese vernacular houses for sustainable design. Journal of Asian Architecture and Building Engineering, 1–20. DOI: https://doi.org/10.1080/13467581.2024.2439348
Niza, I. L., Luz, I. M. D., Bueno, A. M., & Broday, E. E. (2022). Thermal comfort and energy efficiency: Challenges, barriers, and step towards sustainability. Smart Cities, 5, 1721–1741. DOI: https://doi.org/10.3390/smartcities5040086
Ren, Z., Fu, Y., Dong, Y., Zhang, P., & He, X. (2022). Rapid urbanization and climate change significantly contribute to worsening urban human thermal comfort: A national 183-city, 26-year study in China. Urban Climate, 43, 101154. DOI: https://doi.org/10.1016/j.uclim.2022.101154
Xu, C., Li, S., Zhang, X., & Shao, S. (2018). Thermal comfort and thermal adaptive behaviours in traditional dwellings: A case study in Nanjing, China. Building and Environment, 142, 153-170. DOI: https://doi.org/10.1016/j.buildenv.2018.06.006
Yang, C., & Misni, A. (2025). Analysis of thermal comfort in single-story courtyard vernacular dwellings in rural China: Passive design strategies for adapting to the climate. Buildings, 15(21), 3964. DOI: https://doi.org/10.3390/buildings15213964
Yang, C., & Misni, A. (2026). Exploring comfort and efficiency: Comparing vernacular and modern dwellings in rural Handan, Northern China. Sustainability, 18(3), 1575. DOI: https://doi.org/10.3390/su18031575
Zhang, X., Li, H., Jian, Y., Fu, H., Wang, Z., & Xu, M. (2022). Vernacular or modern: Transitional preferences of residents living in varied stages of urbanisation regarding rural landscape features. Journal of Rural Studies, 95, 95–108. DOI: https://doi.org/10.1016/j.jrurstud.2022.07.011
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