Multi-Criteria Decision Making for Infrastructure Management

Multi-Criteria Decision Making (MCDM) has emerged as an essential framework for the planning, prioritisation and optimisation of infrastructure assets under conditions of complexity and resource constraint. Infrastructure management involves diverse objectives—economic efficiency, social equity, environmental sustainability and technical performance—which frequently conflict and evolve over the asset lifecycle. MCDM techniques, such as the Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Multi-Attribute Utility Theory (MAUT) and other outranking methods, provide structured hierarchies of criteria, aggregate stakeholder preferences and derive ranking scores for alternative interventions. By integrating quantitative data with expert judgement and stakeholder inputs, these methods support transparent allocation of maintenance budgets, resilient investment planning and adaptive management of roads, bridges, water networks and energy systems. Advances in computational tools, sensitivity analysis and geospatial data integration have further enhanced the rigour and applicability of MCDM, enabling decision-makers to balance trade-offs, simulate scenarios and justify strategies that preserve asset value, extend service life and foster sustainable development.

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Multi-Criteria Decision Making for Infrastructure Management publication trend

The graph below shows the total number of articles in multi-criteria decision making for infrastructure management across all publications each year (not limited to Nature Index journals).

Technical terms

Multi-Criteria Decision Making (MCDM): A set of formal methods for evaluating alternatives against multiple, often conflicting criteria to support decision-making.

Analytic Hierarchy Process (AHP): A structured technique that decomposes problems into a hierarchy of criteria and sub-criteria, using pairwise comparisons to derive criterion weights.

Technique for Order Preference by Similarity to Ideal Solution (TOPSIS): A method that ranks alternatives by calculating their distances to an ideal solution and an anti-ideal solution.

Multi-Attribute Utility Theory (MAUT): A decision-analysis approach that constructs a utility function combining multiple attributes to score and rank alternatives.

References

1. Determining Priorities in Infrastructure Management Using Multicriteria Decision Analysis. Sustainability (2023).
2. An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria. Socio-Economic Planning Sciences (2022).
3. Multi-Criteria Decision-Making Framework (AHP-TOPSIS): Pavement Preventive Maintenance Case Study for Ordinary National Trunk Highways. Buildings (2024).