| Title | Disaster Management in Smart Cities |
|---|---|
| ID_Doc | 43757 |
| Authors | Elvas, LB; Mataloto, BM; Martins, AL; Ferreira, JC |
| Title | Disaster Management in Smart Cities |
| Year | 2021 |
| Published | Smart Cities, 4, 2 |
| 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. |
| https://www.mdpi.com/2624-6511/4/2/42/pdf?version=1621491557 |
Similar Articles
| ID | Score | Article |
|---|---|---|
37865
|
Khatibi, H; Wilkinson, S; Eriwata, G; Sweya, LN; Baghersad, M; Dianat, H; Ghaedi, K; Javanmardi, A An integrated framework for assessment of smart city resilience(2022)Environment And Planning B-Urban Analytics And City Science, 49, 5 | |
| 40353
|
Samarakkody, A; Amaratunga, D; Haigh, R Technological Innovations for Enhancing Disaster Resilience in Smart Cities: A Comprehensive Urban Scholar's Analysis(2023)Sustainability, 15, 15 | |
| 36345
|
Tonmoy, FN; Hasan, S; Tomlinson, R Increasing Coastal Disaster Resilience Using Smart City Frameworks: Current State, Challenges, and Opportunities(2020) | |
| 37695
|
Kim, J; Lee, JM; Kang, J Smart cities and disaster risk reduction in South Korea by 2022: The case of Daegu(2023)Heliyon, 9.0, 8 | |
| 37456
|
Fujinawa, Y; Kouda, R; Noda, Y The Resilient Smart City (An Proposal)(2015)Journal Of Disaster Research, 10.0, 2 | |
| 38798
|
Samarakkody, A; Amaratunga, D; Haigh, R Characterising Smartness to Make Smart Cities Resilient(2022)Sustainability, 14, 19 | |
| 42958
|
Arafah, Y; Winarso, H; Suroso, DSA Towards Smart and Resilient City: A Conceptual Model(2018) | |
| 36950
|
Arafah, Y; Winarso, H Redefining smart city concept with resilience approach(2017) | |
| 37401
|
Gonçalves, SP; Ferreira, JC; Madureira, A Data-Driven Disaster Management in a Smart City(2022) | |
| 45024
|
Kozhevnikov, S; Svitek, M From Smart City sustainable development to resiliency by-design(2022) |