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Bayesian network modelling of hierarchical composite indicators

Author
Requejo-Castro, D.; Gine, R.; Pérez-Foguet, A.
Type of activity
Journal article
Journal
Science of the total environment
Date of publication
2019-02-19
Volume
668
First page
936
Last page
946
DOI
10.1016/j.scitotenv.2019.02.282
Repository
http://hdl.handle.net/2117/133792 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0048969719307806 Open in new window
Abstract
The water, sanitation and hygiene (WaSH) sector has witnessed the development of multiple tools for multidimensional monitoring. Hierarchical and composite indicators (CI)-based conceptual frameworks provide one illustrative example. However, this approach does not address the existing interrelationship of the indicators they integrate. Bayesian Networks (BNs) are increasingly exploited to assess WaSH issues and to support planning and decision-making processes. This research aims to evaluate th...
Citation
Requejo-Castro, D.; Gine, R.; Pérez-Foguet, A. Bayesian network modelling of hierarchical composite indicators. "Science of the total environment", 19 Febrer 2019, vol. 668, p. 936-946.
Keywords
Bayesian Networks, composite indicators, interlinkages, systematic methodology, water, sanitation and hygiene
Group of research
EScGD - Engineering Sciences and Global Development

Participants