Correlations between Crowd Characteristics and Thermal Comfort in Hospitals: A Case Study of Jiangsu Province Hospital

Indoor thermal comfort significantly impacts patient recovery and medical staff efficiency in hospitals, and varying crowd densities and activities necessitate tailored thermal environments. This study leverages computer vision techniques to obtain crowd density and uses field surveys to obtain crowd dwell time and crowd postures in hospitals; employs field surveys and questionnaires to assess thermal comfort levels in hospitals; and uses Pearson product-moment correlation coefficient (PPMCC) and one-way analysis of variance (ANOVA) to test correlations between crowd characteristics and thermal comfort in hospitals. Taking Jiangsu Province Hospital as a case study, this paper finds crowd density and crowd postures significantly impact thermal comfort in hospitals, while the impact of dwell time on thermal comfort is not significant. The research provides data-driven insights to hospital managers and designers for prioritizing human comfort and optimizing medical environments.