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摘要
As an important part of the living environment of nursing homes, indoor environmental quality directly affects the health and comfort of the residential elders.It has increasingly become an important concern for the elders in China. However, research on the indoor environment quality of nursing homes is still relatively lacking. Therefore, this study uses machine learning to establish an evaluation model of the elders' satisfaction with the overall indoor environmental quality.The study selects thermal comfort, indoor air quality, visual comfort and acoustic comfort to evaluate the overall indoor environmental quality satisfaction. The results show that air temperature, relative humidity, indoor air quality, light and noise levels all have a certain effect on the overall indoor environmental quality satisfaction for elders.Meanwhile temperature is the most influential factor among the five factors, then followed by noise level, and light is the least one. The evaluation results of the model can provide guidance for the design and operation decisions of the nursing homes, and it is expected to improve the indoor environment quality. ? 2020, Editorial Office of Journal of Xi'an University of Architecture & Technology. All right reserved.
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