A Seasonal Study of the Spatial Quality of Cold Streets Based on Activity Portrait Indexes (APIs)
Yang Ye, Yi Huang, Sitong Yang, Wenshu Lou, Tong Li, Xin Tang, Hangjian Yu · 2026 · China
This study develops an Activity Portrait Index (API) framework to assess the seasonal quality of urban streets in Harbin, China, a city with extremely cold winters. Based on observations of 37 street segments, the method evaluates pedestrian activity levels, diversity of activities and the demographic diversity of street users across different seasons. The findings highlight how the qualities that support street activity change throughout the year: wind protection, thermal comfort and connections between indoor and outdoor spaces become particularly important in winter, while greenery, ventilation and opportunities for outdoor staying gain importance during warmer periods. The study provides an evidence-based approach for evaluating and designing streets that remain attractive, accessible and socially active throughout the year.
- Planning & Design
- Data & Monitoring
- Health, Safety & Wellbeing