Prediction of Deterioration Level of Heritage Buildings Using a Logistic Regression Model

Abstract

Chinese historical and cultural villages are known for numerous vernacular architectural heritages of a wide-ranging, widely distributed, and artificially intensive nature. In order to efficiently and rapidly conduct targeted conservation for heritage buildings, the prediction of the deterioration level of heritage buildings is a key prerequisite. In that respect, it is of the utmost importance to investigate the influence of different elements, such as the age and type of heritage building, on the deterioration of heritage buildings. This paper presents the feasibility of using logistic regression models to establish a heritage damage prediction and thereby confirm the buildings’ deterioration level. The model results show that age, type, style, and value play important roles in predicting the deterioration level of heritage buildings. Meanwhile, the correlation between the judging factors of heritage buildings and the deterioration level of the damage has also been revealed, which is expected to support subsequent conservation and restoration.