ABSTRACT
Digital Twin (DT) is an emerging concept that has drawn attention from academia and industry with applications in various domains, including the manufacturing industry. Due to the challenges of rapid urbanization, cities are also adopting DT to transform themselves into smarter cities. Through technologies, such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and machine learning (ML), smart devices have been connected, collecting and analyzing a wide range of data and monitoring and controlling multiple urban systems. These technologies can potentially transform the current urban governance paradigm toward smart cities. DT can improve urban planning, optimize asset management, and create safe and sustainable cities. At the same time, several works on DT in other domains exist, but there is a lack of works that introduce DT in the context of smart cities in a didactic way. For this reason, this chapter reviews the literature to contribute to the conceptualization and development of DT for smart cities, identifies current challenges, and presents perspectives for future work. This chapter can be helpful for stakeholders in the area of urban management.
