Author
Listed:
- Wuxing Zheng
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
- Lu Liu
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
- Yingluo Wang
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
- Ranran Feng
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
- Jiaying Zhang
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
- Teng Shao
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
- Seigen Cho
(Institute of Urban Innovation, Yokohama National University, Yokohama 240-8501, Japan)
- Haonan Zhou
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
- Jingqiu Cui
(School of Mechanics and Transportation Engineering, Northwestern Polytechnical University, Xi’an 710129, China)
Abstract
Elderly individuals in rural China are highly vulnerable to extreme weather events and temperature fluctuations due to inadequate infrastructure in the built environment and constrained economic conditions, thereby increasing their health risks. Outdoor spaces represent one of the primary daily activity settings for rural older adults. However, existing research rarely links spatiotemporal patterns of outdoor activities to evidence-based thermal environment optimization, leaving a critical knowledge gap for age-friendly and sustainable rural design. This study focuses on the spatiotemporal differentiation patterns of daily outdoor activities among elderly people aged 60 years and above in rural Xi’an, as well as the optimization of spatial variations in thermal environments. Using on-site interviews, thermal environment measurements, thermal comfort questionnaires, continuous thermal environment monitoring, and machine learning based on random forest, this study drew the following conclusions: (1) outdoor activities in winter were concentrated between 9:00–11:00 and 13:00–17:00, while in summer, they shifted to the morning and evening periods, namely 6:00–9:00 and 17:00–21:00. (2) Models for outdoor clothing adjustment, thermal sensation, and thermal acceptability among elderly residents were established. The calculated neutral temperature was 10.19 °C, with a 90% outdoor thermal acceptability range of 9.6–27.2 °C and an 80% outdoor thermal acceptability range of 6.2–30.6 °C. These findings differ from those documented in regions with distinct climate zones and geographical settings. This discrepancy stems from regional climatic features, lifestyle variations between urban and rural older adults, and differences in the thermal environment quality of elderly-oriented outdoor activity spaces. (3) In winter, the acceptable period of the Universal Thermal Climate Index ( UTCI ) at south-facing entrances (10:30–16:30) was significantly longer than that in the courtyard (13:30–14:00). In summer, the comfortable period in the courtyard (before 10:00 and after 20:00) was longer than that at north-facing entrances (before 09:00). A random forest model for thermal sensation was established, and the relative importance of each parameter influencing thermal sensation was analyzed. On this basis, priority improvement pathways and strategies for the thermal environment, as well as suggestions for the subjective adaptive behaviors of elderly residents, were proposed. The research results of this study can provide technical solutions for age-friendly thermal environment design in rural areas, thereby safeguarding the comfort, health, and social well-being of the elderly population in rural areas.
Suggested Citation
Wuxing Zheng & Lu Liu & Yingluo Wang & Ranran Feng & Jiaying Zhang & Teng Shao & Seigen Cho & Haonan Zhou & Jingqiu Cui, 2026.
"The Sustainable Evaluation and Improvement of Age-Friendly Outdoor Thermal Environments in Rural Xi’an: A Perspective on Spatiotemporal Variations in Elderly Daily Activity,"
Sustainability, MDPI, vol. 18(11), pages 1-34, May.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:11:p:5250-:d:1949859
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