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Hybrid Application of Multi-Criteria Decision-Making Methods for Municipal Investments: A Case Study Focusing on Equity in Istanbul

dc.contributor.authorCari, Melike
dc.contributor.authorKara, Betul
dc.contributor.authorAydin, Nezir
dc.contributor.authorYalcin Kavus, Bahar
dc.contributor.authorKaraca, Tolga Kudret
dc.contributor.authorAyyildiz, Ertugrul
dc.date.accessioned2026-06-27T15:33:06Z
dc.date.issued2026
dc.description.abstractEquitable prioritization of public investments is increasingly critical as municipalities face constrained budgets, heterogeneous neighborhood needs, and demands for transparent decisions. This paper proposes a fairness-aware group multi-criteria decision-making (MCDM) framework for ranking municipal infrastructure investments when budgets are constrained, and neighborhood needs differ. Six alternatives are assessed in the Istanbul case study: flood risk mitigation, inclusive public realm and cooling, smart and energy-efficient municipal assets, walking and cycling infrastructure, healthcare access improvements, and seismic retrofitting of public buildings. The criteria system combines efficiency, implementability, socio-environmental performance, and equity-oriented priorities through five main dimensions and 23 sub-criteria. In addition to cost, feasibility, and service effectiveness, the framework incorporates fairness-related criteria such as baseline need and deficit severity, vulnerability-targeting effectiveness, minimum service guarantee for the worst-off, and priority for low-accessibility centers. Public acceptance and environmental performance are also included. Stakeholder panels provide expert judgments using intuitionistic fuzzy sets, capturing membership, non-membership, and hesitation to reflect uncertainty. Criteria weights are derived with Intuitionistic Fuzzy Step-wise Weight Assessment Ratio Analysis (IF-SWARA), enabling importance elicitation and group aggregation without forcing crisp consensus. Alternatives are then ranked using Intuitionistic Fuzzy Combined Compromise Solution (IF-CoCoSo), which blends additive and multiplicative compromise solutions to balance overall performance with equity objectives. Robustness is assessed through sensitivity analysis by varying the gamma parameter within the IF-CoCoSo procedure. A municipal case study demonstrates that healthcare access improvements achieve the highest compromise performance, followed by flood risk mitigation and seismic retrofitting of public buildings, while smart and energy-efficient municipal assets rank last. The findings confirm that explicitly embedding fairness criteria can shift municipal priorities toward alternatives that more directly reduce deprivation, risk, and spatial inequality. The main contribution of this study is not merely empirical application, but the development of a fairness-aware group MCDM framework that operationalizes distributive justice in municipal investment prioritization through a structured set of criteria.en
dc.description.urihttps://doi.org/10.3390/math14081356
dc.identifier.doi10.3390/math14081356
dc.identifier.eissn2227-7390
dc.identifier.issue8
dc.identifier.urihttps://hdl.handle.net/20.500.14981/71841
dc.identifier.volume14
dc.identifier.wos001750061400001
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofMATHEMATICS
dc.rightsopenAccess
dc.subjectfairness-aware
dc.subjectMCDM
dc.subjectmunicipal infrastructure investment
dc.subjectintuitionistic fuzzy sets
dc.subjectSWARA
dc.subjectCoCoSo
dc.subjectSELECTION
dc.subjectMathematics
dc.titleHybrid Application of Multi-Criteria Decision-Making Methods for Municipal Investments: A Case Study Focusing on Equity in Istanbul
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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