Journal of Engineering and Applied Sciences

Year: 2007
Volume: 2
Issue: 2
Page No. 391 - 400

Institutional Sustainability of Sanitation Systems in Peri-Urban Areas-a Multi-Criteria Decision Analysis (MCDA) Assessment

Authors : Jimmy Zikusooka Muwuluke and G. Ngirane-Katashaya

Abstract: Sustainability of some of the alternative technology options for the peri-urban areas has failed partly due to lack of institutional responsiveness of the selected options. There is a mismatch between the institutional framework in terms of policy, legal and regulatory parameters and institutional setup on the one hand and the requirements of the technologies on the other. Objective appraisal of the technologies at the onset with a view of predicting institutional sustainability is therefore important. Such analysis requires a Decision Support Tool (DST) for the decisionmakers which can address decision parameters of the institutional context. As part of an on- going study, this study examines the development of such a DST using MCDA techniques. It involved characterisation of the technology options, identification of appropriate institutional criteria, determination of criteria/indicator states and elicitation of criteria weights. Both the indicator state and characterisation information were used to score each option on each criterion which, together with the criteria weights were the two input variables to the model. The information synthesis using Hiview program gave the relative institutional responsiveness index score. Ironically, model analysis results showed that the index score for the common Simple Pit Latrine (SPL) was quite high (86%) compared to other options (VIP latrine-82%, ecosan systems-67% and non-conventional sewerage-16%). This could partly explain the falling to disuse by many of the facilities provided in the peri-urban areas.

How to cite this article:

Jimmy Zikusooka Muwuluke and G. Ngirane-Katashaya , 2007. Institutional Sustainability of Sanitation Systems in Peri-Urban Areas-a Multi-Criteria Decision Analysis (MCDA) Assessment. Journal of Engineering and Applied Sciences, 2: 391-400.

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