A Circular Economy Decision-Support Model for Construction Waste Allocation

Construction and demolition waste management increasingly requires decision-support approaches that can connect circular economy objectives with practical operator-allocation decisions. This study develops EcoRanker, a web-based decision-support model for circular construction waste allocation. The model integrates stakeholder-derived requirements, fuzzy analytic hierarchy process weighting, GIS-supported spatial logistics indicators, and TOPSIS-based operator ranking to support transparent and reviewable allocation decisions. Rather than treating transport emissions as a complete carbon footprint assessment, the proposed framework uses road-network distance to derive bounded transport and fuel-use indicators alongside economic, recovery-quality, and governance-related decision inputs within a triple-bottom-line perspective. The model was demonstrated through 10 researcher-defined operator scenarios for 100 t of concrete-dominant waste in Central Thailand; the scenarios are not measured company profiles. In these synthetic scenarios, the ranking reflects the assigned service charges and recovery categories as well as the modelled transport indicators and expert weights. EcoRanker contributes a practical decision architecture for circular construction management by linking waste generators, recovery operators, spatial logistics, and intended circular outcomes in a single DSS workflow. The framework can make allocation assumptions and trade-offs reviewable; whether it improves resource efficiency or circular outcomes requires field and life-cycle validation.