Comparing physiological emotional responses to traditional hutongs and modern streets in Beijing through EEG and an interpretable machine learning approach
摘要
As public spaces that urban populations interact with in their daily lives, streets have been found to affect people’s emotional well-being. This study utilized electroencephalography (EEG) to measure and compare the emotional effects of traditional hutongs and modern streets. By combining Random Forest (RF) and Shapley Additive Explanations (SHAP) analysis, the research explored key built environment factors and their positive and negative impacts. The study found: (1) The questionnaire data revealed that traditional hutongs enhance calmness and deep relaxation more effectively than modern streets, as mirrored by the physiological responses recorded in the EEG analysis. (2) In traditional hutongs,