Water conservation behavior in Australia
Copyright policy )Water conservation behavior in Australia
Ensuring a nation's long term water supply requires the use of both supply-sided approaches such as water augmentation through water recycling, and demand-sided approaches such as water conservation. Conservation behavior can only be increased if the key drivers of such behavior are understood. The aim of this study is to reveal the main drivers from a comprehensive pool of hypothesized factors. An empirical study was conducted with 3094 Australians. Data was analyzed using multivariate linear regression analysis and decision trees to determine which factors best predict self-reported water conservation behavior. Two key factors emerge: high level of pro-environmental behavior; and pro-actively seeking out information about water. A number of less influential factors are also revealed. Public communication strategy implications are derived.
- WU Austria
- MEDIZINISCHE UNIVERSITAT GRAZ Austria
- University of Queensland Australia
- University of Queensland Australia
- University of Melbourne Australia
Conservation of Natural Resources, 101018 Statistik, Environmental Engineering, Monitoring, 330, Management, Monitoring, Policy and Law, Social and Behavioral Sciences, regression analysis, 333, Article, 2305 Environmental Engineering, 2308 Management, Monitoring, Policy and Law, Water Supply, Surveys and Questionnaires, decision tree, Decision tree, Humans, Business, Waste Management and Disposal, 101029 Mathematische Statistik, 102022 Softwareentwicklung, Motivation, Policy and Law, 101018 Statistics, pro-environmental behavior, Data Collection, Australia, Water, 101029 Mathematical statistics, information seeking, 102022 Software development, 2311 Waste Management and Disposal, Pro-environmental behavior, Attitude, Socioeconomic Factors, 2308 Management, Linear Models, Water conservation behavior, Information seeking, Regression analysis, water conservation behavior
Conservation of Natural Resources, 101018 Statistik, Environmental Engineering, Monitoring, 330, Management, Monitoring, Policy and Law, Social and Behavioral Sciences, regression analysis, 333, Article, 2305 Environmental Engineering, 2308 Management, Monitoring, Policy and Law, Water Supply, Surveys and Questionnaires, decision tree, Decision tree, Humans, Business, Waste Management and Disposal, 101029 Mathematische Statistik, 102022 Softwareentwicklung, Motivation, Policy and Law, 101018 Statistics, pro-environmental behavior, Data Collection, Australia, Water, 101029 Mathematical statistics, information seeking, 102022 Software development, 2311 Waste Management and Disposal, Pro-environmental behavior, Attitude, Socioeconomic Factors, 2308 Management, Linear Models, Water conservation behavior, Information seeking, Regression analysis, water conservation behavior
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