A peer-reviewed methodology that applies graph theory to evaluate mass transit network structure. The model uses weighted network measures — degree centrality, betweenness centrality, closeness centrality, network density, clustering coefficients, and path length — to compare connectivity, directness, and coverage across network alternatives. A key innovation is the use of technology-specific weights that distinguish metro from light rail, reflecting differences in speed, transfer quality, and station catchment area. The framework benchmarks proposed networks against established metro systems internationally, providing evidence-based support for strategic investment decisions. Published in Urban Rail Transit.