ABSTRACT
Undoubtedly, infrastructure is the backbone of the world’s economies. This includes transportation networks, bridges, tunnels, subways, railways, shipyard cranes, water delivery systems, utilities, dams, various pipeline networks, power transmission, communication network, government centers, and large business centers, to cite a few examples. Resilience is fundamentally a theoretical concept. Yet ongoing and warranted reflection regarding this concept in the context of disaster and emergency management and mitigation, crisis management, and the protection of critical infrastructure, for instance, has brought this it into the policy making arena, where considerations concerning its practical applications are becoming important. While difficult, given the complexity of resilience, and its definitional ambiguity, the ability to assess such a concept helps to bridge the gap between theory and application, and between academic and policy circles. This chapter introduces an overview of the intelligent and resilient urban infrastructures to support smart cities. It discusses and compares different definitions of the resilience infrastructure and emerging and relevant topics such as big data (BD) and data mining (DM), methodologies for their implementation and the opportunities, challenges, and benefits of incorporating resilience using BD applications for smart cities. In addition, it endeavors to identify the requirements that support the implementation of resilience applications for smart city services. The review reveals that several opportunities are available to apply to the resilience of infrastructure in smart cities. However, there are still many issues and challenges to be addressed to achieve a better utilization of this concept, and the application of new methodologies for the evaluation of resilient systems that can provide specific and satisfactory results for resilience evaluation.
