ANALYSIS OF QUESTIONNAIRE SURVEY DATA TO UNDERSTAND THE IMPACT FACTORS ON THE AMOUNT OF WATER USED FWOR DOMESTIC WATER: LOGISTIC REGRESSION ANALYSIS FOR BINARY VARIABLES CATEGORIZED BY THE AMOUNT OF WATER CONSUMPTION

Abstract

 It is essential for water providers to have a detailed understanding of how water is used in each household. Information on household water use is significant for utility rate and revenue projection, capital planning, daily operations to provide water, and more. The purpose of this study is to analyze questionnaire survey data to understand the impact factors on the amount of water used for domestic water. Logistic regression analysis for binary variables categorized by the amount of water consumption was conducted. Through the analysis, the following findings were obtained: 1) For single-person households, bathtub filling, clothes washing and presence of the elderly were associated with increased risks of household water consumption (p < 0.05). 2) In households with 4 or more people, not only clothes washing but also the time of purchase of the toilet (whether it is old or not) was associated with an increased risk of water consumption (p < 0.05).