Combines principal component analysis (PCA) with the dynamic programming (DP) to prioritize transit projects.
Integrates multi-criteria indicators into the dynamic decision process for multi-period project selection.
Uses data from 15 cities of China to determine the appropriate transit projects for the empirical city.