Research on Lighting Environment Design of Clothing Stores Based on Atmosphere Perception
XIONG Ye
HAO Jiahui
Abstract：This study investigates the impact of lighting environment and atmosphere perception in clothing stores,and proposes optimization suggestions for lighting environment.Using 1091 clothing stores as the research object,data was collected through subjective and objective surveys.Two multiple regression prediction models were established using the XGBoost extreme gradient enhancement algorithm based on ensemble learning.The importance ranking of the atmosphere dimension and the importance ranking of lighting environment parameters under each atmosphere dimension were obtained,respectively.Using SHAP method to explain the contribution and impact of lighting environmental indicators on atmosphere perception.Based on the research path of this article,summarize the optimization suggestions for lighting environment indicators.The simulation analysis using DIALux evo software shows that using multiple lamp combinations can achieve the best lighting environment effect under three lamp arrangement methods.
Keywords：clothing storelighting environmentatmosphere perceptionXGBoostSHAPDIALux evo
Publication Date：2025-02-24
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 57-63 )