Detectability of urban emergencies using hierarchical networks in smart cities

Abstract

Emergency management systems are emerging as essential components to help cities deal more effectively with these critical events. However, the reliability and detection capabilities of these systems are of paramount importance. This paper proposes a new approach to assess the reliability and detectability of these systems based on hierarchical networks. By applying fault tree and Markov chain models, the performance of these systems in extreme situations is evaluated. These analyses fill a gap in the existing literature by providing a complete overview of the functionality of emergency management systems in complex urban environments. It also highlights the importance of adapting and evolving these systems as cities become increasingly smart and connected.