A Chinese traditional narrow street, named Cold-Lane, can create a microclimatic zone that provides pedestrian thermal comfort under hot and humid climate conditions. This phenomenon was observed through experimental measurement during the summer of 2016. The heat transfer rate over the pedestrian body surface was calculated to reveal why pedestrians experience a cool sensation, and computational flow dynamics (CFD) simulation was carried out to study the influence of the street aspect ratio on the shading effect. It was found that the perception of thermal comfort can be attributed mainly to the radiation between the relatively cool surrounding walls and the human body, and the wind velocity has little effect on sensible heat dissipation. The cool horizontal and vertical surfaces in the street canyon are mainly due to the shading effect as a result of the small aspect ratio, which is a typical characteristic of the traditional Chinese street. The shading effect of the high walls on both sides creates the cooling effect of this narrow street.

With the rapid development of big data technology, more and more fields are realizing the importance of big data and applying it to various decision-making processes. Industrial heritage planning decisions are no exception. This article will explore the concept and application of industrial heritage planning and decision-making in the era of big data, aiming to emphasize the importance and application value of big data in industrial heritage planning and decision-making. This article analyzes the development relationship between the construction and transformation of urban industrial utilization and the theory and practice of industrial heritage. Through theoretical and practical technical analysis of specific regions, the value utilization of industrial simulation design has been improved. Through in-depth data mining, the government found that the industrial structure of the region is dominated by traditional manufacturing, lacking support from high-tech industries, and the pollution problem of the surrounding environment is also relatively serious. In response to these issues, corresponding planning plans have been formulated, including measures to introduce high-tech industries, optimize industrial structure, and improve environmental quality. By implementing these measures, the comprehensive strength of the region has been significantly improved and the economic transformation and upgrading have been successfully achieved.

Wooden built heritage (WBH) in hot–humid regions is exposed to both sudden natural hazards and long-term environmental degradation. Using Hunan Province, China, as a case study, this research assessed 789 officially designated WBH sites through a GIS-based regional risk framework. Eight indicators—landslides, floods, erosion, fires, precipitation, temperature variability, relative humidity, and potential evapotranspiration—were evaluated. Weights derived from the Analytic Hierarchy Process and Entropy Weight Method were integrated using a distance-function approach, followed by weighted overlay and spatial autocorrelation analysis. High-risk areas were concentrated in the Wuling Mountains, Xuefeng Mountains, and the northern foothills of the Nanling Range. Overall, 40.82% of WBH sites fell within medium- to extremely high-risk categories, while high–high clusters accounted for 36.7% of significant local spatial clusters. The framework reveals pronounced spatial heterogeneity and supports risk-informed prioritization and preventive conservation of WBH in comparable hot–humid regions.

Vernacular timber covered bridges are vulnerable to coupled structural and environmental deterioration, yet diagnosis often relies on empirical visual judgement. This study develops an evidence-based diagnostic workflow for timber heritage and applies it to Xin An Bridge in Liuyang, China. Historical archives, field inspection, terrestrial laser scanning, UAV photogrammetry, settlement monitoring, moisture-content spot checks and environmental investigation were integrated to assess structural inclination and localized dampness. Point-cloud deformation, simplified structural sensitivity analysis and settlement statistics indicate that inclination is more plausibly associated with localized differential settlement and asymmetric loading than with timber ageing alone. Surface moisture measurements did not indicate persistent high-risk moisture conditions within the selected seasonal windows; visible mildew was more plausibly related to roof microenvironmental water retention caused by leaf accumulation. The workflow supports traceable diagnosis, minimal intervention and continued monitoring for comparable timber heritage.