Research on parametric analysis and simulation application of spatial texture in traditional villages: a case study of Cantonese traditional villages
Traditional Chinese villages, as rural settlements shaped over extensive historical evolution in agrarian societies, have lacked a systematic method for quantitatively analysing and understanding the historical spatial forms. This study takes a morphological research perspective, using Lohong Village, Su’er Village, and Shangyue Village in Guangdong Province as case studies of typical Cantonese traditional villages. It focuses on three key spatial texture elements: roads, plots, and architecture, employing parametric modelling techniques to investigate their combination patterns and quantitative characteristics. The findings indicate that: (1) Parametric analysis techniques can comprehensively, quantitatively, and accurately reveal the patterns of village spatial texture; (2) Comparing optimized parametric simulation results with original villages shows high similarity in spatial texture, demonstrating the method’s high fidelity and practical value; (3) The study explores a research approach suitable for the computer era – “data collection – parametric feature extraction and optimization – simulation and data calibration” – to study the spatial texture of traditional villages. Furthermore, it establishes a parametric-based platform for rural planning and construction management, providing a digital design pathway and management basis to preserve and inherit the historical village aesthetics.
Authors
- Yun Wu (ORCID: https://orcid.org/0000-0001-6782-5777)
- Lu Chen (ORCID: https://orcid.org/0000-0002-9315-7482)
- Luhui Qi
- Yixuan Wang (ORCID: https://orcid.org/0000-0002-8989-3129)
- Zeluan Yang
- Jujiao He
- Zilin Tang
Institutions
- Guangzhou University (CN)
Publication Details
- Journal
- Journal of Asian Architecture and Building Engineering
- Published
- 2024-08-31
- DOI
- https://doi.org/10.1080/13467581.2024.2397117
- Citations
- 2
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 0.57