Disaster Management in Smart Cities

Abstract

The smart city concept, in which data from different systems are available, contains a multitude of critical infrastructures. This data availability opens new research opportunities in the study of the interdependency between those critical infrastructures and cascading effects solutions and focuses on the smart city as a network of critical infrastructures. This paper proposes an integrated resilience system linking interconnected critical infrastructures in a smart city to improve disaster resilience. A data-driven approach is considered, using artificial intelligence and methods to minimize cascading effects and the destruction of failing critical infrastructures and their components (at a city level). The proposed approach allows rapid recovery of infrastructures’ service performance levels after disasters while keeping the coverage of the assessment of risks, prevention, detection, response, and mitigation of consequences. The proposed approach has the originality and the practical implication of providing a decision support system that handles the infrastructures that will support the city disaster management system—make the city prepare, adapt, absorb, respond, and recover from disasters by taking advantage of the interconnections between its various critical infrastructures to increase the overall resilience capacity. The city of Lisbon (Portugal) is used as a case to show the practical application of the approach.

Assessing robustness in multimodal transportation systems: a case study in Lisbon

“…To answer the need for measuring the resilience of networks, [25] noted in their robustness and resilience Fig. 2 Distribution of incidents in the city of Lisbon from [19]. On the right is the occurrence of incidents and on the left, their impact on pathways, i.e., the number of roads affected review that a network should be considered resilient if it sustains a high number of node failures before it becomes disconnected.…”

“…This stresses the importance of understanding various risk impacts on the network's structure. Along with the general risk from natural incidents, other incidents through the city have a higher incidence rate, and these usually have a more localized effect [19]. Such incidents may be caused by faults in energy and water suppliers, traffic accidents, and fires that disable stations and pathways.…”

“…Such incidents may be caused by faults in energy and water suppliers, traffic accidents, and fires that disable stations and pathways. [19] rendered a map of incidents from a diverse standpoint (see Fig. 2).…”

Innovation in Coping with the COVID-19 Pandemic: The Best Practices from Five Smart Cities in Indonesia

“…ICT and application are of a great help in solving regional problems. Both ICT and application enable society to convey their aspiration and to simplify access to public services [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. Public services that society can access in an online way strongly shows that mobility can be minimized because of the use of virtual space [31].…”

“…Smart cities are defined as a system to cope with and/or to minimize unforeseen disasters by optimization of resources, for example through a comprehensive smart city model that includes all activities for disaster risk reduction in its planning [16]. Disaster management in smart cities may be translated into different practices, starting from the data-driven approach up to the application of artificial intelligence for decision support systems on disaster management, i.e., how to protect critical facilities during crises to expand its resilience to the tiered effects of a disaster [17].…”