SMART CITIES: INTEGRATING IOT AND AI FOR SUSTAINABLE URBAN INFRASTRUCTURE

Abstract

The fast pace of urbanization in the world has increased the pace of the smart, sustainable and resilience urban infrastructure. The study paper discusses the incorporation of the Internet of Things (IoT) and Artificial Intelligence (AI) technologies into smart cities and investigates how these two technologies will position them to streamline the urban functions, manage resources, and increase the quality of life of the citizens. The research design involves using both quantitative and qualitative designs and involves using the mixed-method to produce the results of the research problem based on quantitative data of performance measurements of urban infrastructure and sensor networks, as well as qualitative data collected in the form of structured interviews with city planners, technology developers, and residents. The obtained results indicate that smart cities integration differs greatly between metropolitan regions and smaller cities and towns: the former is more integrated as they have advanced digital infrastructure, regulatory frameworks, and technological literacy, whereas the latter struggle with the lack of IoT integration, lack of AI expertise, and limited financial resources. Nevertheless, the IoT and AI have made it possible to manage traffic in real-time, save energy, reduce wastes, and anticipate the maintenance of important infrastructure and make urban environments more sustainable. Furthermore, the citizen-based assessment reveals that convenience, safety, and environmental advantage are the most appreciated factors in high-connected cities, and accessibility and affordability are the main issues in the city that is not digitally advanced. The paper also addresses the policy solutions and strategic frameworks to reduce this urban divide, such as special investments in IoT infrastructure, AI-training courses, regulatory standardization, and the partnership between the state and business. This research presents evidence-based suggestions on how to promote equitable, efficient, and resilient smart city initiatives by city planners, policymakers, and technology developers by emphasizing the difference in IoT and AI effects in various urban contexts. The study can be added to the existing body of knowledge about urban digital transformation and sustainable infrastructure development to provide practical information on scalable and inclusive development.