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A hierarchical Bayesian Belief Network model of household water treatment behaviour in a suburban area: A case study of Palu—Indonesia

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  • D Daniel
  • Mita Sirait
  • Saket Pande

Abstract

Understanding the determinants of household water treatment (HWT) behavior in developing countries is important to increase the rate of its regular use so that households can have safe water at home. This is especially so when the quality of the water source is not reliable. We present a hierarchical Bayesian Belief Network (BBN) model supported by statistical analysis to explore the influence of household’s socio-economic characteristics (SECs) on the HWT behavior via household’s psychological factors. The model uses eight SECs, such as mother’s and father’s education, wealth, and religion, and five RANAS psychological factors, i.e., risk, attitude, norms, ability, and self-regulation to analyse HWT behavior in a suburban area in Palu, Indonesia. Structured household interviews were conducted among 202 households. We found that mother’s education is the most important SEC that influences the regular use of HWT. An educated mother has more positive attitude towards HWT and is more confident in her ability to perform HWT. Moreover, self-regulation, especially the attempt to deal with any barrier that hinders HWT practice, is the most important psychological factor that can change irregular HWT users to regular HWT users. Hence, this paper recommends to HWT-program implementers to identify potential barriers and discuss potential solutions with the target group in order to increase the probability of the target group being a regular HWT user.

Suggested Citation

  • D Daniel & Mita Sirait & Saket Pande, 2020. "A hierarchical Bayesian Belief Network model of household water treatment behaviour in a suburban area: A case study of Palu—Indonesia," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-14, November.
    • Handle: RePEc:plo:pone00:0241904
    DOI: 10.1371/journal.pone.0241904
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    1. Nauges, Céline & Van Den Berg, Caroline, 2009. "Perception of Health Risk and Averting Behavior: An Analysis of Household Water Consumption in Southwest Sri Lanka," TSE Working Papers 09-139, Toulouse School of Economics (TSE).
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    1. Elizaveta Kopacheva, 2021. "Predicting online participation through Bayesian network analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-22, December.
    2. Daniel, D. & Pande, Saket & Rietveld, Luuk, 2022. "Endogeneity in water use behaviour across case studies of household water treatment adoption in developing countries," World Development Perspectives, Elsevier, vol. 25(C).

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