Indian cities face a deepening urban mobility crisis driven by rapid urbanisation, organic and unplanned growth, and road networks whose structural configuration remains poorly understood and measured. Major cities such as Bengaluru, Kolkata, Pune, and Hyderabad consistently rank among the world's most congested, yet geospatial assessment of their road networks remains underexplored in academic literature. This paper addresses that gap by identifying 21 geospatial indicators across five thematic categories: Nodal Connections, Road Segments, Traffic Flow, Directional Patterns, and Barrier Blocks. A multi-stage methodology integrating a PRISMA-guided systematic literature review, bibliometric analysis, and expert validation was employed. The indicators are explained in terms of definition, computational method, limitations, and analytical significance. Their practical application is demonstrated through case examples of Indian cities, revealing that areas with unplanned morphologies show lower connectivity, higher dead-end clustering, and significant peak-hour speed reductions. The framework offers a replicable, context-sensitive tool for evidence-based urban transport planning in India.