AI-Powered Urban Infrastructure: A Multidisciplinary Approach to Smart City Development and Social Inclusion

Abstract

Cities are fast changing, as the population grows to exert pressure on resources and subjected to climatic pressures. Artificial Intelligence (AI) is coming up as a disruptive technology that can help to optimize the urban infrastructure in a way that could enhance the social inclusivity in smart cities. The proposed multidisciplinary model of AI, city planning, environmental monitoring, and social analytics provides a medium through which the capacity of AI-driven infrastructure can achieve efficiency and sustainable growth. Our team employs a mixed approach to generating probable data and uses both geospatial mappings and on-the-ground surveys in three major cities of India (Mumbai, Bengaluru, and Ahmedabad) to estimate the potential number of vulnerable women. It was found that transportation and energy systems with AI integration may play an efficient role in cutting commute time by 18 percent, efficient energy use by 22 percent, and citizen involvement in the city services by 30 percent in the high-need areas. Another block to equity access also found in the study is digital inequality, which suggests that a multi-stakeholder approach to open smart cities can solve this problem. The results highlight how AI can change cities into socially conscientious and sustainable ecosystems.