Investigating the Role of Data Analytics and Artificial Intelligence in Optimizing Resource Efficiency in Smart Cities

Abstract

In the context of modern urbanization, optimizing resources such as energy, materials, water and labour is no longer solely an environmental concern but a strategic economic necessity. This chapter underscores the vital connection between smart cities and resource efficiency, highlighting sustainable practices as crucial amidst the ever-expanding urban landscape. This chapter commences by demystifying key terms like ‘smart city,’ ‘data analytics,’ ‘artificial intelligence’ and ‘resource efficiency.’ It illuminates how these concepts intertwine and emphasizes their pivotal roles in shaping urban sustainability. Furthermore, this chapter unravels the multifaceted components of smart cities, showcasing their real-world use cases and the techniques of data analytics and artificial intelligence (AI) driving transformative changes. It draws from an extensive body of research, exemplifying how various data analytics techniques have been leveraged in the realm of smart cities. Towards its conclusion, this chapter provides a comprehensive overview of these techniques and their applications, shedding light on their potential to revolutionize resource management in urban environments. In essence, this chapter serves as a valuable compendium of knowledge, offering insights into the critical synergy between smart cities, data analytics, AI and resource efficiency. It underscores the imperative for cities to harness data-driven insights and technological advancements to achieve sustainable and prosperous urban futures.

Citation

Kiran, D.D. and Sharma, D.I. (2024), "Investigating the Role of Data Analytics and Artificial Intelligence in Optimizing Resource Efficiency in Smart Cities", Kandpal, V., Santibanez-Gonzalez, E.D., Chatterjee, P. and Nallapaneni, M.K. (Ed.) Smart Cities and Circular Economy, Emerald Publishing Limited, Leeds, pp. 97-106. https://doi.org/10.1108/978-1-83797-957-820241010