Summary:
The valorization of brownfields presents a significant challenge in urban redevelopment, as decisions in this domain involve a trade-off between environmental sustainability and financial feasibility. Our study, focusing on three sites in Switzerland, introduces a comprehensive framework integrating operations research methodologies to optimize the rehabilitation process of such sites. Within this framework, we identify key cost components related to transportation and rehabilitation expenses, which include routing, vehicle, tool, material, inventory, and recycling costs. Our framework finds the most efficient strategy while considering (i) spatial constraints, i.e., the location of sites and recycling facilities, (ii) technical constraints, i.e., the facility and vehicle capacities, and (iii) financial constraints, i.e., budget. By developing a mixed-integer linear programming model, we aim to provide the optimal assignment of materials between brownfield sites and recycling facilities, and the vehicle routing of material transportation. The results of this research are planned to be integrated into a brownfield rehabilitation framework that benefits from circular economy practices in construction, proposing incentives to promote sustainability.