当前位置:
X-MOL 学术
›
Urban Clim.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
From thermal demand characterization to accurate evaluation: Exploring seasonal differences in outdoor thermal comfort of the elderly in China's communities
Urban Climate ( IF 6.0 ) Pub Date : 2024-12-01 , DOI: 10.1016/j.uclim.2024.102220 Yan Wang, Liyuan Yin, Qiwei Dong, Fan Fei, Wanxiang Yao, Jiang Sun, Zhongtian Jiang
Urban Climate ( IF 6.0 ) Pub Date : 2024-12-01 , DOI: 10.1016/j.uclim.2024.102220 Yan Wang, Liyuan Yin, Qiwei Dong, Fan Fei, Wanxiang Yao, Jiang Sun, Zhongtian Jiang
Influenced by rapid urbanization and an aging population, creating a healthy and comfortable outdoor environment for the elderly in urban residential communities has become increasingly important. This paper aims to investigate the outdoor thermal comfort characteristics of the elderly, using residential communities in Tianjin, China, as a case study. Initially, we clarified the differences in thermal demand between winter and summer of elderly residents through a combination of thermal environment measurements and thermal comfort questionnaires. Secondly, we developed a thermal comfort evaluation model for small-scale spaces in residential communities, identifying the intensity of multiple influences on the thermal environment. Thirdly, we created a new seasonal integrated thermal sensation evaluation model for the elderly using probit analysis. Finally, summarizing the above findings, we devised targeted strategies to enhance the microclimate for the elderly. The results show that: the percentage of the elderly who achieve comfort in winter is 17.2 % higher than in summer; the factors that had the greatest impact on the thermal environment in winter and summer were water bodies and greenery, respectively; and the new probability analysis model showed that the neutral temperature interval was 2.1 °C narrower than the conventional TSV-PET model in summer and 1.8 °C wider in winter.
更新日期:2024-12-01