Stakeholder Priorities for Sustaining Operations and Maintenance of School Sanitation Facilities in Kampala City, Uganda

Published: 6 October 2025| Version 1 | DOI: 10.17632/s7g4yh37yz.1
Contributors:
Jude Zziwa Byansi,
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Description

Title: Stakeholders’ Prioritization of Operation and Maintenance Domains by AHP and Indicator Weights by SWING: Description: This dataset presents the results of a participatory multi-criteria analysis conducted with 35 experts representing five stakeholder groups—researchers, regulators, practitioners, head teachers, and sanitation teachers. Using the Analytic Hierarchy Process (AHP) and SWING weighting method, participants prioritized six key domains and 33 indicators influencing the operation and maintenance (O&M) of school sanitation facilities in Kampala, Uganda. The Excel file contains three sheets: (i) Domain Weights by AHP Method, (ii) Indicator Weights by SWING, and (iii) Global Indicator Weights. The data support evidence-based decision-making for sustainable sanitation service delivery and can be used for comparative studies, framework calibration, or decision-support modeling in WASH system research. Key Words: School sanitation; Operation and maintenance; Analytic Hierarchy Process; SWING method; Sustainability. To maintain anonymity, participants were coded by stakeholder group and sequence number as follows: RG = Regulators, P = Practitioners , R= Researchers, HT = Head Teacher, ST = Sanitation Teachers. Each participant contributed weighting scores for the AHP and/or SWING exercises according to their professional perspective.

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Participants were invited to a structured workshop and grouped according to their professional roles. During the session, they received orientation on the Analytic Hierarchy Process (AHP) and the SWING weighting method, as well as an introduction to the defined operation and maintenance (O&M) domains and indicators. After participants became familiar with the AHP and SWING procedures, they were provided with structured questionnaires to individually assign weights to the six O&M domains using the AHP and to the 33 indicators using the SWING method. Consistency ratios (CR) for AHP pairwise comparisons were checked immediately after completion. Any assessment with a CR value exceeding 0.1 was repeated to ensure logical consistency and reliability of the results.

Institutions

  • Makerere University College of Engineering Design Art and Technology
    Kampala, Kampala

Categories

Engineering Research Data Management

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