To address the limitations of traditional commercial building design, this study proposes an optimisation method integrating an improved ResNet model with VR technology.The enhanced ResNet50 model, incorporating a CBAM attention mechanism and multi-scale feature fusion, quantifies key metrics like spatial comfort and traffic efficiency, achieving 94.7% feature recognition accuracy.A VR platform then generates interactive scenes based on model outputs to collect real-time user feedback.Experiments on three commercial buildings showed that after optimisation, space utilisation increased by 15.2%, landscape satisfaction rose by 21.6%, and traffic efficiency improved by 18.9%.This data-driven, user-centred approach offers significant practical and academic value for commercial design.
Ni Yin (Thu,) studied this question.