Evaluating the Renewal Degree for Expressway Regeneration Projects Based on a Model Integrating the Fuzzy Delphi Method, the Fuzzy AHP Method, and the TOPSIS Method

As the volume and scale of urban expressways continue to increase, renewal remains a concern for development. The decision-making an expressway need be endowed with new concepts adapt rapid development cities. Nevertheless, in addition considering road factors such as facility conditions, driving environmental protection, existing evaluation system lacks comprehensive consideration that improve resilience future development, it quantifiable general update system. Thus, establishment indicator mixed framework is challenge. This study proposes indicators integrates three dimensions macro, meso, micro based on fuzzy Delphi method, AHP TOPSIS method. A q-rung orthopair linguistic set was used handle expert uncertainty information process conducting evaluations. were refined into their versatility. Moreover, value measured calculated using four intervals divided according calculation results. result, 28 screened out, five greatest impact demand transport service functions, upgrading institutional resilience, structural renewal, economic model applied eight Shanghai calculate degree divide status. could identify needs each guide decision. measure studies provides reference area sustainable