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A maturity-aware decision support system for smart circular cities: integrating ISO 37122 and ISO 59020 for
Novi Dian Nathasia1,2, Widowati3, Aris Puji Widodo3
1Doctoral Program of Information System Postgraduate School, Universitas Diponegoro, Indonesia.
This study presents MA-SCC-DSS, a decision-support method for smart city and circular economy assessments. It enhances data auditability and policy translation from composite scores, even with incomplete data.
Area of Science:
- Environmental Science
- Urban Planning
- Information Systems
Background:
- Municipal scorecards often aggregate complex smart city and circular economy data into opaque composite values.
- This lack of transparency hinders auditing, comparison, and actionable policy development.
Purpose of the Study:
- Introduce MA-SCC-DSS, a reproducible decision-support method for smart city and circular economy assessments.
- Improve the auditability, comparability, and policy relevance of municipal data.
Main Methods:
- Developed a method integrating ISO 37122 (smart cities) and ISO 59020 (circularity).
- Employed Design Science Research artifact logic, standards-informed mapping, evidence-confidence tagging, rule gates, and tiered circularity activation.
- Transformed raw scores and metadata into validated tables, indicator mappings, confidence tags, maturity bands, alerts, and a policy roadmap.
Main Results:
- Demonstrated implementation correctness and internal consistency of MA-SCC-DSS using a three-year dataset.
- The method effectively processes aggregated scorecards and progressively incorporates detailed indicators.
- Generated validated input tables, indicator mappings, confidence tags, maturity bands, diagnostic alerts, and a policy roadmap.
Conclusions:
- MA-SCC-DSS provides a traceable score-to-action pathway for smart city and circular economy data.
- The method is designed for data variability, enabling progressive integration of sectoral indicators.
- Established internal validity and correctness for the developed decision-support method.
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