Vegetation phenology significantly influences urban microclimate and thermal comfort in cold regions, yet its quantitative impact—specifically the potential of deciduous trees to enhance winter solar access—remains underexplored. This study investigates how seasonal vegetation changes affect thermal conditions in an urban plaza. Field measurements were conducted at Beiyang Plaza, Tianjin University, during the autumn–winter transition. High-precision Sky View Factors (SVF) were extracted from panoramic images using a deep learning-based semantic segmentation model (PSPNet), validated against field observations. The Universal Thermal Climate Index (UTCI) was calculated to assess thermal stress. Results indicate that the leaf-off phase significantly increases SVF, shifting the radiative balance. Areas experiencing phenological changes exhibited a marked improvement in UTCI, effectively alleviating cold stress by maximizing solar gain. Advanced statistical models (ARIMAX and GAM) confirmed that, after controlling for background climatic variations, the positive effect of vegetation phenology on thermal comfort is statistically significant. These findings challenge the traditional focus on summer shading, highlighting the “winter-warming” potential of deciduous trees and providing quantitative evidence for climate-responsive urban design.

Linear green waterfront corridors are important public open spaces where movement, spatial experience, and recreational behavior unfold continuously along paths. However, the visual–spatial conditions associated with visitor behavior in such settings remain insufficiently understood, particularly from the perspective of sequential spatial experience. Using the Tongzhou section of the Grand Canal in Beijing as a case study, this study examined how visitor movement and staying rhythms vary across visual–spatial environments along a linear corridor. Sixteen visual–spatial indicators were derived from 1505 georeferenced panoramic images, and approximately 1.65 million GPS trajectory points were used as external behavioral evidence. Five latent visual–spatial states were identified along the corridor sequence, and the contributions of different indicators to state differentiation were further interpreted. The results show that the corridor was organized into differentiated visual–spatial states with clear continuity and gradual transitions, and that visitor behavior differed significantly across these states. High visit intensity did not necessarily correspond to a high stay ratio, and lower movement speed did not uniformly indicate stopping. The strongest state-differentiation signals were associated with depth-informed structural variables, especially the closely related foreground proportion and average depth, together with waterfront-interface conditions. These findings extend current understanding of visual–spatial environment–behavior relationships in linear public green spaces and provide methodological support for the planning, design, and management of waterfront and other linear public green environments.

Under the global trend of population aging, providing a safe and reliable living environment for the elderly who live at home has become a major social issue. This study reports a monitoring technology for elderly-friendly residential buildings based on distributed acoustic sensing (DAS) and distributed temperature sensing (DTS), which is used to monitor and identify the physical behaviors of residents and temperature changes at different locations in the space. The results show that the distributed acoustic sensing (DAS) system can initially identify typical behavioral states such as walking, squatting, and falling. The fiber DTS technology can not only monitor the temperature distribution at different locations indoors, but also be used for the monitoring and early warning of local fires in different areas of the room. The sensing probes of the monitoring system proposed in this paper are linear optical cables, which have the advantages of easy installation, strong anti-interference ability, intrinsic explosion-proof, less likely to leak residents’ privacy, all-weather operation, precise event location, and low cost for large-scale distributed measurement systems. By integrating the sensing optical cables, fiber signal processing systems, and application software introduced in this paper, an intelligent management and early warning platform for elderly-friendly residential buildings can be established, providing a new solution for remote supervision of the living safety of the elderly.

Urban park cooling accessibility is often assessed using temporally aggregated thermal performance, which may obscure variation in accessible cooling potential. We combined Landsat-derived park cooling intensity with a fixed network of 77 park destination records and 63 subdistricts in Tianjin, China, across 14 screened summer observations in 2021–2025. Mean cooling accessibility (MeanCA), its 25th percentile (Q25CA), and absolute and relative lower-tail gaps (AG and TAG) were compared across 10, 15, and 20 min catchments. Positive-supply coverage increased from 23 to 41 and 51 subdistricts, while MeanCA and Q25CA retained similar spatial rankings. Among the 23 subdistricts already served at 10 min, TAG showed a small overall threshold difference (Kendall’s W = 0.178); its 10–20 min decline coexisted with an increase in AG. The TAG difference was not significant in the broader 41-subdistrict comparison from 15 to 20 min. Among the 27 eligible multi-source subdistricts, direct Q25CA modelling did not provide clear evidence of an additional asynchrony association after nonlinear MeanCA adjustment. Replacing TAG with AG changed 29 of 63 diagnostic labels. These findings distinguish expanded access from changes in relative and absolute lower-tail gaps. The framework offers a conditional planning diagnosis across observed dates, with category-level conclusions sensitive to indicator choice.