A Hybrid Multi-Criteria Decision Making Model with Entropy-Triggered Dynamic Correction for Rail Transit Corridor Vitality Assessment: A Case Study of Shanghai

In the context of urban stock renewal and metropolitanization, radial rail transit corridors in megacities need to transition from singular transportation functions to composite development carriers. This study proposes a hybrid multi-criteria decision-making (MCDM) model combining the Interval-Valued Intuitionistic Fuzzy Analytic Hierarchy Process (IVIF-AHP) with the entropy weight method, featuring an adaptive weighting mechanism that balances subjective expert judgment and objective data patterns. Novel corridor-scale indicators (i.e., hub functional matching, jobs–housing proximity, and gradient stability) are introduced, alongside a three-stage renewal pathway identification method. A case study of five Shanghai corridors (Lines 5, 9, 11, 16, and 17) reveals that jobs–housing spatial proximity is the primary vitality dimension (weight 0.244), while functional mix exhibits a pattern that identifies it as a common shortcoming across all corridors. The five corridors are classified into three vitality tiers, with five typical syndromes diagnosed. A sensitivity analysis confirms the robustness of corridor rankings to weighting and normalization choices, but reveals their sensitivity to the jobs–housing proximity threshold, which validates the 10 km standard. The proposed model offers quantitative diagnostics and differentiated renewal strategies, providing planning references for corridor renewal.