A Study on the Living Behavior and Space Usage Preference of Residents in Traditional Huizhou Dwellings
Abstract
:1. Introduction
1.1. Formation and Value of Chinese Traditional Villages
1.2. Historical Development and Protection Policy of Traditional Dwellings
1.3. Sustainable Development of Traditional Dwellings
1.4. Research Directions for the Conservation of Huizhou Traditional Dwellings
1.5. Research on the Relationship Between Residents’ Behavior and Spatial Environment
- (1)
- Behavioral observation: Behavioral observation is the most frequently used approach to study people’s actions in relevant environments. Zeng Rui, Li Zao, and others used the behavior observation method to study the relationship between children’s behavior and the landscape environment in Chinese residential areas [29]. Hsieh Yenping used the behavioral observation method to study the effect of the number of residents on daily behavior in a Taiwan nursing institution [30]. Tang Shouni used the behavioral observation method to analyze the correlation between the characteristics of the ground floor interface of a commercial complex in Wuhan and the behavior of surrounding pedestrians [31]. Aryani Ni Putu explored the spatial needs of residents of social welfare housing in Surabaya, Indonesia through behavioral observation and interviews [32].
- (2)
- GNSS technology: Recent advancements in GNSS systems and big data analytics have facilitated innovative investigations into human-scale spatial behavior correlations. Modern GPS methodologies offer distinct benefits over conventional survey approaches through their capacity for uninterrupted quantitative data acquisition. Scholars across international research communities have consequently generated substantial findings in this interdisciplinary domain. Li Zao et al. [33] employed GPS tracking to study the after-school movement patterns of primary school students. By combining this with behavioral observation, they gained a comprehensive understanding of the students’ behaviors in specific spatial areas. They also analyzed the spatial composition and characteristics of the school surroundings, exploring how these factors influence student retention, and proposed strategies and management measures to enhance the space around the school [33]. Jie Zheng [34] used GPS to track the behavioral conflicts between tourists and villagers in the rural community space, and analyzed the spatial characteristics of spatial behavioral conflicts using the spatial behavioral conflict model and spatial grammar. Park Sohyun et al. used GPS technology to compare the walking patterns and neighborhood characteristics of residents in Seoul, South Korea and Seattle, USA, and analyzed the relationship between walking activities and street neighborhood environmental characteristics [35]. Ye Maosheng and Zeng Jun applied GPS technology to examine the behavior patterns of individuals in cultural and commercial areas, exploring the relationship between people’s retention behaviors and the elements of commercial spaces [36].
- (3)
- Indoor positioning technology: In recent years, indoor positioning technology has played an increasingly important role in the study of spatial behavior. Many scholars have conducted in-depth explorations of space and behavior in different scenarios using indoor positioning technology. Moreira Mariana used RFID positioning technology to analyze the impact of different outdoor environments in kindergartens on children’s social behavior [37]. Qu Xiaoyu et al. used RFID indoor positioning technology to analyze the use of personal rooms in the daily life of Chinese elderly couples [38]. Zhang Xinnan et al. used the UWB indoor positioning system to analyze the time and way that staff stay and move in personal and non-personal working environments [39]. Yang Lijing collected and analyzed the daily behavior data of retired family residents in Beijing through the UWB indoor positioning system, revealing that the spatial network structure through grid-level, convex polygon-level, and room-level analysis, and found that mutual visibility has a significant impact on family behavior [40]. Huang Weixin et al. used UWB indoor positioning technology to study the relationship between the living behavior of the elderly in urban housing and housing, and proposed a set of research processes from data collection, visualization, and analysis [41]. Jin Shan et al. used the UWB indoor positioning system to analyze the influence of the hybrid exhibition hall arrangement method and physical environment on exhibition viewing behavior [42]. To sum up, with the advancement of science and technology, the research methods of spatial behavior are constantly innovating. Traditional behavioral observation and interview methods are gradually combined with modern technologies, such as GNSS technology and big data analysis methods. More advanced technologies, such as the UWB indoor positioning system, provide new possibilities for the study of indoor spatial behavior.
- Do different families and residents have different preferences for using each functional space?
- Do residents’ preferences for space use change in different seasons?
- Does the attribute of space have a fixed impact on the living behavior of residents?
- Does the space of different preservation states have different effects on the living behavior of the residents?
2. Methodology
2.1. Equipment Composition and UWB Principle
2.2. Data Processing
- (1)
- Sources of Experimental Error
- (2)
- Data Preprocessing
- (3)
- Data Correction
- First cleaning—speed filteringNormal indoor movement speeds range from 0.6 to 1.2 m/s. Adjacent points with calculated speeds > 2 m/s (indicating running) were flagged as outliers and removed.
- Data imputation—linear interpolationFor the missing data segments, linear interpolation was applied, assuming linear changes between known points. Note: if hibernation caused data breaks, temporal segmentation was used to prevent erroneous fitting.
- Second cleaning—five-point moving averageThe trajectory data were treated as 2D sequences (ignoring height). The five-point moving average method replaced each point with the mean of its two preceding and two subsequent points, smoothing random noise to better reflect true movement patterns.
3. Residential Forms and Sample Selection
3.1. Basic Forms of Traditional Dwellings in Huizhou
3.2. Sample Selection
4. Kernel Density Feature Analysis
4.1. Trajectory and Density Distribution Characteristics of Different Households and Residents
4.2. Differences in the Distribution of Inhabitants’ Trajectory Kernel Density in Different Seasons
5. Behavioral Observation
5.1. Behavior Distribution Differences of Residents in Different Families
5.2. Differences in Residents’ Behavior in Different Seasons
6. Time–Space Series Analysis
6.1. Time and Space Sequence of Residential Life Trajectory
6.2. Spatial Stay Time Analysis
- (1)
- Differences in residents’ stay duration across functional spaces
- (2)
- Residents’ preference for space usage in different seasons
6.3. Spatial Connection Diagram
6.4. Dwelling Space Connection Frequency Analysis
- (1)
- Characteristics of different families and residents moving between functional spaces
- (2)
- Characteristics of residents moving between functional spaces in different seasons
7. Discussion
7.1. Preferences of Different Residents for Functional Spaces
7.2. Residents’ Preferences for Space Usage Across Different Seasons
7.3. The Influence of Spatial Attributes on Residents’ Living Behaviors
7.4. The Influence of Dwellings in Different Preservation States on Residents’ Living Behaviors
7.5. Research Prospects
- (1)
- Limitations of samples
- (2)
- Limitations in dwelling renovation
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Lu, Q. The Cultural Connotation of Traditional Residential Decoration. Huazhong Archit. 1998, 16, 120–121. [Google Scholar] [CrossRef]
- Lu, Y. Exploring the method of residential research from the law of the formation of traditional residential buildings. Architect 2005, 5–7. [Google Scholar]
- Wang, D.; Lv, Q.; Wu, Y.; Fan, Z. The characteristic of regional differentiation and impact mechanism of architecture style of traditional residence. J. Nat. Resour. 2019, 34, 1864–1885. [Google Scholar] [CrossRef]
- Dong, L.; Kang, M. Quantitative Comparison of Geographical Color of Traditional Village Architectural Heritage Based on K-Means Color Clustering—A Case Study of Southeastern Hubei Province, China. Buildings 2025, 15, 748. [Google Scholar] [CrossRef]
- Hu, Y.; Chen, S.; Cao, W.; Cao, C. The Concept and Cultural Connotation of Traditional Villages. Urban Dev. Stud. 2014, 21, 10–13. [Google Scholar] [CrossRef]
- Tu, L.; Zhao, P.; Zhang, C. Theory of Conservation of Traditional Villages. Urban Dev. Stud. 2016, 10, 118–124. [Google Scholar] [CrossRef]
- Onitsuka, K.; Hoshino, S. Inter-community networks of rural leaders and key people: Case study on a rural revitalization program in Kyoto Prefecture, Japan. J. Rural Stud. 2018, 61, 123–136. [Google Scholar] [CrossRef]
- Riney-Kehrberg, P. Survival of Rural America: Small Victories and Bitter Harvests. West. Hist. Q. 2009, 40, 230–231. [Google Scholar] [CrossRef]
- Japanese Government. Cultural Property Protection Act. 1976. Available online: https://elaws.e-gov.go.jp/document?lawid=325AC0100000214 (accessed on 14 June 2023).
- Advanced Council on Histroical Conservation (ACHP). National Historic Preservation Act. 15 October 1966. Available online: https://www.achp.gov/digital-library-section-106-landing/national-historic-preservation-act (accessed on 18 October 2006).
- Ministry of Housing and Urban–Rural Development; Ministry of Culture; State Administration of Cultural Heritage. Guiding Opinions on Effectively Strengthening the Protection of Traditional Villages in China. Available online: https://www.gov.cn/zhengce/2016-05/22/content_5075656.htm (accessed on 25 April 2014).
- Yi, Y. Research on Traditional Villages’ Protection System in China. Mod. Urban Res. 2016, 31, 1–9. [Google Scholar] [CrossRef]
- Chu, K.; Wu, M. The traditional settlement planning and the renovation of residential buildings based on spatial syntax analysis. Soft Comput. 2022, 26, 7809–7815. [Google Scholar] [CrossRef]
- Wang, H.-F.; Chiou, S.-C. Spatial Form Analysis and Sustainable Development Research of Traditional Residential Buildings. Sustainability 2020, 12, 637. [Google Scholar] [CrossRef]
- Cheng, G.; Li, Z.; Xia, S.; Gao, M.; Ye, M.; Shi, T. Research on the Spatial Sequence of Building Facades in Huizhou Regional Traditional Villages. Buildings 2023, 13, 174. [Google Scholar] [CrossRef]
- Qin, R.J.; Leung, H.H. Becoming a Traditional Village: Heritage Protection and Livelihood Transformation of a Chinese Village. Sustainability 2021, 13, 2331. [Google Scholar] [CrossRef]
- Wang, X.; Zhu, Q. Influencing Factors of Traditional Village Protection and Development from the Perspective of Resilience Theory. Land 2022, 11, 2314. [Google Scholar] [CrossRef]
- Xu, J.; Lu, Z.; Huo, X. The evolution and adaptive development of traditional dwelling in Southern Shaanxi, China. Environ. Sci. Pollut. Res. 2019, 26, 13914–13930. [Google Scholar] [CrossRef]
- Zuo, D.; Li, C.; Lin, M.; Chen, P.; Kong, X. Tourism, Residents Agent Practice and Traditional Residential Landscapes at a Cultural Heritage Site: The Case Study of Hongcun Village, China. Sustainability 2022, 14, 4423. [Google Scholar] [CrossRef]
- You, X.; Zhang, Y.; Tu, Z.; Xu, L.; Li, L.; Lin, R.; Chen, K.; Chen, S.; Ren, W. Research on the Sustainable Renewal of Architectural Heritage Sites from the Perspective of Extenics—Using the Example of Tulou Renovations in LantianVillage, Longyan City. Int. J. Environ. Res. Public Health 2023, 20, 4378. [Google Scholar] [CrossRef]
- Zhang, X.; Zhong, J. Thermal Environment Analysis and Thermal Comfort Evaluation of Huizhou Folk Dwelling Houses Guided by Auxiliary Interior Space Layout. Int. J. Heat Technol. 2022, 40, 993. [Google Scholar] [CrossRef]
- Gao, R.; Liu, J.; Shi, Z.; Zhang, G.; Yang, W. Patio Design Optimization for Huizhou Traditional Dwellings Aimed at Daylighting Performance Improvements. Buildings 2023, 13, 583. [Google Scholar] [CrossRef]
- Bian, M.; Huang, Z.; Chen, Q.; Liu, G.; Zhang, Y.; Ding, S. Optimization of Plane and Space of New Dwellings in Southern Anhui Province Based on Indoor Thermal Environment. Sustainability 2022, 14, 5694. [Google Scholar] [CrossRef]
- Cen, K.; Rao, X.; Mao, Z.; Zheng, X.; Dong, D. A Comparative Study on the Spatial Layout of Hui-Style and Wu-Style Traditional Dwellings and Their Culture Based on Space Syntax. Sustainability 2023, 15, 12398. [Google Scholar] [CrossRef]
- Cao, Z.; Mustafa, M.B. A Study of Ornamental Craftsmanship in Doors and Windows of Hui-Style Architecture: The Huizhou Three Carvings (Brick, Stone, and Wood Carvings). Buildings 2023, 13, 351. [Google Scholar] [CrossRef]
- Juan, C.; Pintong, S. The Research on Huizhou Traditional Dwellings in China from the Perspective of Green Architecture. J. Roi Kaensarn Acad. 2024, 9, 3370–3378. [Google Scholar]
- Huang, Z.; Zhao, W.; Wang, C.; Lu, Y.; Zhang, Y. Inheritance design of residence based on Huizhou traditional dwellings. J. Asian Archit. Build. Eng. 2025, 24, 835–850. [Google Scholar] [CrossRef]
- Su, J.M.; Mei, X.M.; Hao, Z. A plan generation system of Huizhou traditional residence. Appl. Mech. Mater. 2013, 409, 486–495. [Google Scholar] [CrossRef]
- Zeng, R.; Li, Z. Analysis of the Relationship between Landscape and Children’s Behaviour in Chinese Residential Quarters. J. Asian Archit. Build. Eng. 2018, 17, 47–54. [Google Scholar] [CrossRef]
- Hsieh, Y. Investigation on the Day-to-day Behavior of a Taiwanese Nursing Organization’s Residents through Shared Bedroom Style. J. Asian Archit. Build. Eng. 2010, 9, 371–378. [Google Scholar] [CrossRef]
- Tang, S.; Xie, S.; Yin, W.; Qiao, H.; Ma, B. Research on the correlation between the characteristics of bottom–level interface of commercial complex and the pedestrian behavior around: Based on environmental behavior quantification technology. J. Asian Archit. Build. Eng. 2020, 19, 434–444. [Google Scholar] [CrossRef]
- Aryani, N.P.; Jen-Tu, K. Environmental behavior analysis of social housing units in Surabaya, Indonesia. J. Asian Archit. Build. Eng. 2021, 20, 398–413. [Google Scholar] [CrossRef]
- Li, Z.; Chen, W.; Li, J. A Study of the Relationship Between the Space Surrounding Primary Schools and Students’ Bchaviors off School. Archit. J. 2016, 569, 113–117. [Google Scholar] [CrossRef]
- Zheng, J.; Bai, X.; Wu, Z.; Zhang, S.; Zhang, T.; Wang, H. Research on the spatial behavior conflict in suburban village communities based on GPS tracking and cognitive mapping. J. Asian Archit. Build. Eng. 2022, 21, 2605–2620. [Google Scholar] [CrossRef]
- Park, S.; Choi, Y.; Seo, H.; Moudon, A.V.; Bae, C.H.C.; Baek, S.-R. Physical Activity and the Built Environment in Residential Neighborhoods of Seoul and Seattle: An Empirical Study Based on Housewives’ GPS Walking Data and Travel Diaries. J. Asian Archit. Build. Eng. 2016, 15, 471–478. [Google Scholar] [CrossRef]
- Ye, M.; Li, Z.; Zeng, R.; Zeng, J. Investigation On The Relationship BetWeen Walking Charac Teristics Of Passengers And Spatial Elements In The Cultural And Commercial Block: A Case Study In Hefei Jindadi 1912. Archit. J. 2013, 9, 85–89. [Google Scholar]
- Moreira, M.; Cordovil, R.; Lopes, F.; Da Silva, B.M.S.; Veiga, G. The Relationship between the Quality of Kindergartens’ Outdoor Physical Environment and Preschoolers’ Social Functioning. Educ. Sci. 2022, 12, 661. [Google Scholar] [CrossRef]
- Qu, X.; Zhang, X.; Matsushita, D.; Yoshida, T. Elderly Chinese Couples’ Primary Room Use in Urban Apartments. J. Asian Archit. Build. Eng. 2010, 9, 363–370. [Google Scholar] [CrossRef]
- Zhang, X.; Munemoto, J.; Yoshida, T.; Matsushita, D.; Izato, T. Comparison of Workers’ Stay and Movement in Territorial and Non-territorial Workplaces: An Analysis Using a UWB Sensor Network. J. Asian Archit. Build. Eng. 2011, 10, 335–342. [Google Scholar] [CrossRef]
- Yang, L.; Huang, W. Multi-scale analysis of residential behaviour based on UWB indoor positioning system-a case study of retired household in Beijing, China. J. Asian Archit. Build. Eng. 2019, 18, 494–506. [Google Scholar] [CrossRef]
- Huang, W.; Yang, L. Research of Residential Behavior Based on Ultra-Wideband Positioning System. Archit. Tech. 2018, 86–89. [Google Scholar] [CrossRef]
- Jin, S.; Ma, J. Research on Exhibition Space Design Based on User Behavior: Taking a Remodeled Exhibition Hall of a University in Shenzhen as an Example. South Archit. 2021, 201, 95–100. [Google Scholar] [CrossRef]
- Shan, D. Anhui Folk Houses; China Building Industry Press: Beijing, China, 2009. [Google Scholar]
- Qi, N.; Shigetomo, K. The Space Composition and Form-Feature of a Traditional Dwelling of the Hui-Zhou District in China: The Investigation in Cheng-Kan Village of Hui-Zhou District, Huang Shan City, An Hui Province Part 1. J. Archit. Plan. 2004, 69, 7–12. [Google Scholar] [CrossRef]
- Wang, H.; Pu, X.; Wang, R.; Zeng, Y.; Qi, X. A Study on Closed Halls in Traditional Dwellings in the Jiangnan Area, China. J. Asian Archit. Build. Eng. 2018, 15, 139–146. [Google Scholar] [CrossRef]
- Pan, G. Architectural History of China, 6th ed.; China Building Industry Press: Beijing, China, 2009. [Google Scholar]
- Kisho, K.; Liang, H. Gray tone culture in Japan. World Archit. 1981, 57–61. [Google Scholar] [CrossRef]
- Xie, K.; Xie, Z. The Reflection of Social Culture Ideas of Interior Space and Order of Huizhou Ancient Folk Dwellings. Ind. Constr. 2014, 44, 5–8. [Google Scholar] [CrossRef]
- Wei, H. A Comprehensive Investigation Report on Rural Revitalization in China 2021; China Social Sciences Press: Beijing, China, 2021. [Google Scholar]
- Qin, M. Research on the Structural Dilemma and Countermeasures of Rural Left-Behind Families. Qilu J. 2021, 89–95. [Google Scholar]
- Silverman, B.W. Density Estimation for Statistics and Data Analysis; Chapman and Hall: New York, NY, USA, 1998. [Google Scholar]
- Zhang, X.; Cheng, Z.; Tang, L.; Xi, J. Research and application of space-time behavior maps: A review. J. Asian Archit. Build. Eng. 2020, 20, 581–595. [Google Scholar] [CrossRef]
- Tzortzi, J.N.; Saxena, I. Threshold Spaces: The Transitional Spaces Between Outside and Inside in Traditional Indian Dwellings. Heritage 2024, 7, 6683–6711. [Google Scholar] [CrossRef]
- Fang, H.; Ji, X.; Chu, Y.; Nie, L.; Wang, J. Study on Skywell Shape in Huizhou Traditional Architecture Based on Outdoor Wind Environment Simulation. Sustainability 2023, 15, 8270. [Google Scholar] [CrossRef]
- Yu, H. Research on environment-friendly perspective of Huizhou traditional residential courtyard based on CFD simulation. In Proceedings of the 2nd International Conference on Internet of Things and Smart City (IoTSC 2022), Xiamen, China, 18–20 February 2022; pp. 474–482. [Google Scholar]
- Huang, Z.; Liu, J.; Hao, H.; Dong, Y. Indoor humidity environment in Huizhou traditional vernacular dwellings of China in summer. Procedia Eng. 2017, 205, 1350–1356. [Google Scholar] [CrossRef]
- Huang, Z.; Wu, Z.; Yu, M.; Dong, Y. The Measurement of natural ventilation in Huizhou traditional dwelling in summer. Procedia Eng. 2017, 205, 1439–1445. [Google Scholar] [CrossRef]
- Zhong, J.; Jia, S.; Liu, R. Improvement of Indoor Thermal Environment in Renovated Huizhou Architecture. Int. J. Heat Technol. 2019, 37, 633. [Google Scholar] [CrossRef]
- Zhong, J.; Zhang, X.; Yang, Y. Thermodynamic renovations in traditional Huizhou folk dwellings: A case study. Int. Inf. Eng. Technol. Assoc. 2023, 41, 937–946. [Google Scholar] [CrossRef]
Residential Sample | Overview of Dwellings | Plane Type | Gender | Age | Family Member Relationship | Member’s Number |
---|---|---|---|---|---|---|
Dwelling A | It was built in the late Qing Dynasty, about 120 years ago, and it is in good condition | “凹” plane | male | 54 | middle-aged couple | AM54 |
female | 53 | AW53 | ||||
Dwelling B | Founded in the Republic of China, about 90 years ago, it is in good condition | “凹” plane | male | 70 | elderly couple and their granddaughter | BM70 |
female | 68 | BW68 | ||||
female | 12 | BW12 |
AM54 | AW53 | |||||||
---|---|---|---|---|---|---|---|---|
1–10 min | 1–30 min | 30–60 min | >60 min | 1–10 min | 1–30 min | 30–60 min | >60 min | |
went out | 2 | 5 | 3 | 3 | 1 | 4 | 1 | 3 |
bathroom | 9 | 6 | 15 | 3 | ||||
wing 1 | 45 | 12 | 12 | 6 | 54 | 12 | 12 | 9 |
wing 2 | 1 | |||||||
hall | 60 | 10 | 2 | 61 | 13 | 3 | ||
patio | 18 | 3 | 25 | 3 | ||||
courtyard | 61 | 6 | 5 | 3 | 75 | 15 | 12 | 6 |
kitchen | 75 | 6 | 3 | 81 | 9 | 6 | 3 | |
vegetable garden | 6 | 3 | 12 | 3 | 3 | |||
utility room | 9 | 5 | ||||||
went out | 9 | 3 | 3 | 3 | 3 | |||
bathroom | 12 | 6 | 12 | 9 | ||||
wing 1 | 60 | 15 | 12 | 6 | 72 | 12 | 12 | 9 |
wing 2 | 2 | |||||||
hall | 70 | 11 | 3 | 68 | 9 | 3 | ||
patio | 24 | 6 | 36 | 6 | ||||
courtyard | 96 | 5 | 6 | 3 | 90 | 16 | 8 | 5 |
kitchen | 80 | 5 | 4 | 63 | 6 | 5 | 3 | |
vegetable garden | 10 | 3 | 15 | 3 | 3 | |||
utility room | 12 | 1 | 8 | 1 |
BM70 | BW68 | BW12 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1–1 min | 1–3 min | 3–6 min | >6 min | 1–1 min | 1–3 min | 3–6 min | >6 min | 1–1 min | 1–3 min | 3–6 min | >6 min | ||
Summer | went out | 2 | 5 | 3 | 2 | 7 | 3 | ||||||
bathroom | 9 | 6 | 19 | 6 | 6 | 6 | |||||||
wing 1 | 6 | 6 | 3 | 5 | 3 | ||||||||
wing 2 | 3 | 3 | 3 | 3 | |||||||||
hall | 82 | 6 | 6 | 60 | 5 | 6 | 45 | 14 | 13 | 6 | |||
kitchen | 53 | 3 | 3 | 3 | 96 | 21 | 5 | 12 | |||||
patio | 91 | 6 | 87 | 90 | 9 | ||||||||
courtyard | 13 | 78 | 5 | 48 | 3 | ||||||||
side room | 5 | 12 | 3 | ||||||||||
storeroom | 3 | 12 | |||||||||||
Winter | went out | 2 | 3 | 3 | 4 | 3 | 3 | ||||||
bathroom | 12 | 7 | 14 | 6 | 9 | 6 | |||||||
wing 1 | 9 | 8 | 6 | 6 | 3 | ||||||||
wing 2 | 6 | 3 | 3 | 6 | |||||||||
hall | 95 | 16 | 9 | 73 | 18 | 9 | 55 | 18 | 16 | 10 | |||
kitchen | 49 | 6 | 4 | 3 | 104 | 24 | 6 | 18 | |||||
patio | 46 | 5 | 88 | 90 | 9 | ||||||||
courtyard | 25 | 3 | 9 | 6 | 3 | 54 | 3 | ||||||
side room | 9 | 16 | 3 | ||||||||||
storeroom | 3 | 8 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Gao, X.; Li, Z.; Wang, Q.; Cheng, G.; Gao, M.; Ye, M. A Study on the Living Behavior and Space Usage Preference of Residents in Traditional Huizhou Dwellings. Buildings 2025, 15, 1488. https://doi.org/10.3390/buildings15091488
Gao X, Li Z, Wang Q, Cheng G, Gao M, Ye M. A Study on the Living Behavior and Space Usage Preference of Residents in Traditional Huizhou Dwellings. Buildings. 2025; 15(9):1488. https://doi.org/10.3390/buildings15091488
Chicago/Turabian StyleGao, Xiang, Zao Li, Qiang Wang, Geng Cheng, Mingfei Gao, and Maosheng Ye. 2025. "A Study on the Living Behavior and Space Usage Preference of Residents in Traditional Huizhou Dwellings" Buildings 15, no. 9: 1488. https://doi.org/10.3390/buildings15091488
APA StyleGao, X., Li, Z., Wang, Q., Cheng, G., Gao, M., & Ye, M. (2025). A Study on the Living Behavior and Space Usage Preference of Residents in Traditional Huizhou Dwellings. Buildings, 15(9), 1488. https://doi.org/10.3390/buildings15091488