Currently, the use of portable sensors to explore the relationship between urban space and mental health has gradually become a hot spot for interdisciplinary research. To further clarify the significance of wearable devices and related data analysis for community planning, the study proposes an interdisciplinary approach that integrates a multidisciplinary approach of environmental data analysis, spatiotemporal behavioral research, biosensing data collection, and qualitative interviews. The study finds that residents’ stress changes over time during the day, scenes change the role of spatial environmental elements on residents’ stress, sound source information changes the role of equivalent sound pressure level on stress, and street scenes change the role of greenery on stress. Finally, the “stress-needs” assessment matrix is established, the relative stress spatial distribution patterns are identified, and the three methods of construction, management, and scene identification are applied to provide suggestions for healing-oriented community street renewal.