Influencing factors for water use behaviors of population groups in hospitals based on multi-layer perceptron model
Jialin Liu, Xue Bai, Lan Zhang, Rong Cai, Mengting Hu · Desalination and Water Treatment · 2023
ABSTRACT As a public institution with high water consumption, hospitals play an important role in the process of urban water conservation. In this paper, we analyzed the characteristics of daily water use behavior of different hospital populations in different regions and types based on actual research data, and used the multi-layer perceptron (MLP) neural network model to further explore the predictive discrimination and relative importance ranking of gender, age, region and personnel classification on the water consumption behavior of different hospital populations. The results showed that the daily water use behaviors of different regions and types of people were somewhat different; the MLP neural network model had a reference value: different factors influenced each water use behavior to different degrees, with the occupation of hospital personnel influencing the water use behaviors of different people to the greatest extent. By analyzing the daily water use behavior of different groups of people in hospitals, this study can effectively analyze their water use habits and thus reflect their awareness of water conservation, provide a theoretical basis for improving water conservation management in hospital logistics or other departments, and lay the foundation for studying the water use efficiency of people’s social activities.