Integrating Smart Geotechnical Systems and Sustainable Urban Mobility for Parking and Pedestrian Infrastructure in Congested Old Indian Cities

Abstract

This study integrates sustainable mobility planning with intelligent geotechnical engineering to address the challenges of parking and pedestrian management in congested old Indian cities. Traditional mobility solutions often overlook the subsurface dimension, foundation stability, ground movement, and soil-structure interaction that critically influence urban infrastructure durability. Author proposes a hybrid framework combining smart parking technologies, pedestrian-friendly designs, and intelligent geotechnical monitoring systems. Real-time data from embedded sensors, including strain gauges, fiber-optic cables, and piezometers can provide predictive insights into foundation settlement beneath multi-level parking structures and pedestrian zones. Artificial intelligence and data analytics can further optimize maintenance, minimize risk, and enhance safety in heritage areas with aging underground utilities. The integration of surface mobility planning with subsurface geotechnical intelligence creates a holistic approach to sustainable, resilient, and data-driven urban infrastructure for rapidly urbanizing old Indian cities.