• DocumentCode
    133475
  • Title

    Behaviour interventions for water end use: An integrated model

  • Author

    Yang Fu ; Wenyan Wu

  • Author_Institution
    Fac. of Art & Creative Technol., Staffordshire Univ., Stafford, UK
  • fYear
    2014
  • fDate
    12-13 Sept. 2014
  • Firstpage
    266
  • Lastpage
    271
  • Abstract
    Water authorities are facing the challenges to guaranty the need of consumers and water saving due to the climate change. In order to solve the problems, engineers need to understand how consumers use their water and their water use behaviours. This research is to re-analyse the effective technologies for researching the water use behaviours (behavioural models) in the water end use field, and proposes an integrated model for better understanding water end use behavioural intervention. It is recommended that the self-regulation attitude and the process of behavioral change play important roles and influent greatly on the behavioural intervention of water end use. An expanded theory of planned behavior model is used as the basis in the model and self-regulation theory also is adapted to modify the interventions. The integrated model proposed in this paper is to better understand the details of water end use behaviours, and intervention and its impact of energy saving.
  • Keywords
    behavioural sciences computing; neural nets; water conservation; ANN; artificial neural networks; behavioral change process; climate change; consumer needs; energy saving; expanded theory; integrated model; planned behavior model; self-regulation attitude; self-regulation theory; water authorities; water end use behavioural intervention; water saving; Biological system modeling; Economics; Mathematical model; Predictive models; Water; Water conservation; Water resources; behaviour intervetnion; modelling; water end use; water saving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Computing (ICAC), 2014 20th International Conference on
  • Conference_Location
    Cranfield
  • Type

    conf

  • DOI
    10.1109/IConAC.2014.6935498
  • Filename
    6935498