Research on the Innovation and Inheritance of Traditional Cultural Elements in the Environmental Art Design of Modern Housing

Authors

  • Qingqing Huo School of Art Design and Media, Shanghai Sipo Polytechnic, Shanghai, 201300, China

DOI:

https://doi.org/10.70917/ijcisim-2026-0364

Keywords:

traditional culture, housing environment, SD evaluation method, principal component analysis, landscape evaluation, design innovation

Abstract

The value of traditional culture in modern residential environment design has gradually been paid attention to, and housing art design integrating traditional cultural elements helps to enhance residential aesthetics and cultural identity. This study centers on the innovative application of traditional cultural elements in modern housing environment art design, and selects 10 new Chinese-style residential districts in City D as samples to be analyzed through on-site research, SD evaluation method and principal component analysis. The survey used 16 landscape evaluation factors and invited 45 evaluators with different professional backgrounds to complete the questionnaire. The results showed that cleanliness (0.86) and openness (0.74) had the highest scores, demonstrating the advantages of the current new Chinese design in terms of space and hygiene. The results of the regression model showed that symmetry (0.635), landscape vignettes (0.617) and infrastructure (0.469) were the key factors to enhance landscape quality. The explanatory power of the model was good (R² = 0.815, Sig < 0.05). The conclusion points out that the effective integration of traditional cultural elements needs to focus on the optimization of specific visualization elements, and combine modern technology and regional cultural context to promote the coordinated development of cultural heritage and modern design.

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Published

2026-02-09

How to Cite

Qingqing Huo. (2026). Research on the Innovation and Inheritance of Traditional Cultural Elements in the Environmental Art Design of Modern Housing. International Journal of Computer Information Systems and Industrial Management Applications, 18, 10. https://doi.org/10.70917/ijcisim-2026-0364

Issue

Section

Original Articles