A novel planning approach for the water, sanitation and hygiene (WaSH) sector: The use of object-oriented bayesian networks. (May 2018)

• Record Type: Journal Article
• Authors: Giné-Garriga, R.; Requejo, D.; Molina, J.L.; Pérez-Foguet, A.
• Is Part Of: Environmental modelling & software. Volume 103(2018)
• Page Start: 1
• Page End: 15
• Publication Date: 2018-05
• Subjects: Water sanitation and hygiene (WaSH) -- WaSH poverty index -- Object oriented bayesian network -- Planning -- Kenya; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2018.01.021
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: Conventional approaches to design and plan water, sanitation, and hygiene (WaSH) interventions are not suitable for capturing the increasing complexity of the context in which these services are delivered. Multidimensional tools are needed to unravel the links between access to basic services and the socio-economic drivers of poverty. This paper applies an object-oriented Bayesian network to reflect the main issues that determine access to WaSH services. A national Program in Kenya has been analyzed as initial case study. The main findings suggest that the proposed approach is able to accommodate local conditions and to represent an accurate reflection of the complexities of WaSH issues, incorporating the uncertainty intrinsic to service delivery processes. Results indicate those areas in which policy makers should prioritize efforts and resources. Similarly, the study shows the effects of sector interventions, as well as the foreseen impact of various scenarios related to the national Program. Graphical abstract: Image 1 Highlights: WaSH issues and their interlinkages can be accommodated in an OOBN model. A DSS based on OOBN simulates scenarios on which to base planning decisions. OOBNs allow planners to easily identify those actions that maximize impact. OOBNs are powerful planning instruments in the context of WaSH service provision.