Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Elvas, L. B., Mataloto, B., Martins, A. & Ferreira, J. (2021). Disaster management in smart cities. Smart Cities. 4 (2), 819-839
Exportar Referência (IEEE) 
L. M. Elvas et al.,  "Disaster management in smart cities", in Smart Cities, vol. 4, no. 2, pp. 819-839, 2021
Exportar BibTeX 
@article{elvas2021_1734526155921,
	author = "Elvas, L. B. and Mataloto, B. and Martins, A. and Ferreira, J.",
	title = "Disaster management in smart cities",
	journal = "Smart Cities",
	year = "2021",
	volume = "4",
	number = "2",
	doi = "10.3390/smartcities4020042",
	pages = "819-839",
	url = "https://www.mdpi.com/journal/smartcities"
}
Exportar RIS 
TY  - JOUR
TI  - Disaster management in smart cities
T2  - Smart Cities
VL  - 4
IS  - 2
AU  - Elvas, L. B.
AU  - Mataloto, B.
AU  - Martins, A.
AU  - Ferreira, J.
PY  - 2021
SP  - 819-839
SN  - 2624-6511
DO  - 10.3390/smartcities4020042
UR  - https://www.mdpi.com/journal/smartcities
AB  - 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.
ER  -