Many Indian cities’ existing road networks are struggling to satisfy increased transport demands, necessitating more efficient use of extant infrastructure. To improve the existing road network, structural criteria such as connectedness, accessibility, hierarchy, and morphology must be analyzed and evaluated. This study evaluates the road network connectivity of Bengaluru, Karnataka, India, using GIS and transportation indices. The analysis takes into account several places in Bengaluru, employing connection indicators such as the Alpha index, Beta index, Gamma index, Eta index, Cyclomatic number, and Aggregate Transportation Score. The road network shows variability, with low-to-moderate connectivity overall. Sparse connections and limited redundancy are indicated by low alpha, gamma, and eta indices. However, some areas exhibit higher complexity and node density, reflecting better connectivity. The network's structure varies significantly, with denser, well-connected urban areas and sparser rural regions. The study's findings could help transportation planners better understand the level of connectedness at each place in the city and implement better planning techniques to promote connectivity in the city.