Abstract

The purpose of this study is to propose a model that analyze the architectural characteristics of neighborhood-convenience facilities around schools, which are vulnerable to infections, and their relevance to the spread of communicable diseases. This model aims to provide a foundation for making decisions on concentrating sanitation resources to prevent the inflow of communicable diseases and the occurrence of group infections in the vicinity of elementary schools.
 In order to understand the impact of neighborhood-convenience facilities located within a 1,500m commuting distance from elementary schools on the spread of communicable diseases, this study analyzes the architectural characteristics of local facilities and their relevance to the spread of communicable diseases. It proposes a communicable disease spread analysis model that utilizes GIS (Geographic Information System) and correlation analysis to identify vulnerable architectural characteristics and spatial scope related to infections.
 The results of applying the analysis model proposed in this study to analyze the correlation between neighborhood-convenience facilities around elementary schools and the spread of communicable diseases showed a positive correlation between the number of buildings, building area, total floor area, land area, height, building coverage ratio, and floor area ratio of neighborhood-convenience facilities within the Elementary-school Commuting Zone in the target administrative district. However, the spatial scope and trends of the maximum correlation coefficient for each administrative district varied, indicating differences in patterns among the target districts.
 The results of this study are as follows: First, the study proposed a correlation analysis model between the architectural characteristics of neighborhood-convenience facilities within the commuting distance of elementary schools and the spread of communicable diseases. Second, the results of applying the analysis model showed a positive correlation between the architectural characteristic variables of neighborhood-convenience facilities and the spread of communicable diseases. Third, there were differences in the spatial scope and trends of the maximum correlation coefficient among the analyzed administrative districts. The analysis model presented in this study provides a foundation for selecting architectural characteristics and spatial scope in each administrative district to concentrate sanitation resources.

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