Evaluation method of urban residential environment satisfaction and urban health care based on AI based technology

Abstract

Urban environmental satisfaction has increasingly become an important indicator to measure people's livelihood. Residents' satisfaction with urban environment involves many variables related to social stratification. In order to better improve the living value of residents and ensure the health of urban environment, this paper optimizes the evaluation method of urban living environment satisfaction combined with speech recognition technology, and discusses the influence of residents on urban environment satisfaction. The results show that the evaluation method has high accuracy and practical application value. It is found that the reasonable allocation of urban public facilities has a negative correlation with urban environmental satisfaction, while the number of urban residents has a positive correlation with urban environmental satisfaction.