Optimization Design of Indoor Space Layout Driven by Big Data of User Behaviour

作者：Sheng Huang, Jing Kang · 发表于：Computer-Aided Design and Applications · 年份：2024 · DOI：10.14733/cadaps.2025.s9.195-208 · 被引用次数：1

. With the development of modern society and cities, people have higher and higher requirements for living environment and working environments, which further promotes continuous research in the field of interior design. Among the existing design elements, the use and planning of interior space layout are the main factors that affect human behaviour and quality of life. Most of the previous studies focused on the building structure's physical function and functional efficiency and paid little attention to the related content of spatial layout planning. With the help of big data-driven and computer-aided CAD technology, this paper analyzes user behaviour. Explore the relationship between user behaviour and interior space layout, and study the automatic generation and optimization of interior space layout. Firstly, from multiple perspectives, this paper analyzes the types and characteristics of interior space layouts and their influence on human activities. In view of the difference in the characteristics of users' individual needs, big data is used to drive the processing of high-dimensional and non-linear complex features, and the user demand response behaviour model is built to correlate the changes in user behaviour with the impact of spatial layout. On this basis, automatic spatial planning is designed by using data fusion rules. Finally, the application of CAD computer-aided technology in interior design and interior space layout is analyzed. According to the CAD layout d...