On the positioning of emergencies detection units based on geospatial data of urban response centres

• Tipo: Artigo em Revista Científica Internacional
• Data: 2023

Autores

Peixoto, JPJ (Autor) Outra; Costa, DG (Autor) FEUP; Rocha, WDD (Autor) Outra; Paulo Portugal (Autor) FEUP; Francisco Vasques (Autor) FEUP

Revista

A Revista está pendente de validação pelos Serviços Administrativos.

Título: SUSTAINABLE CITIES AND SOCIETY

Vol. 97

ISSN: 2210-6707

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00Y-HJY

DOI: 10.1016/j.scs.2023.104713

Abstract (EN): Urban areas have been subject to emergency situations with different causes and sometimes dramatic consequences. With the advent of smart cities technologies, multi-emergency detection units could be conceived and implemented taking advantage of affordable sensing technologies and efficient decision algorithms, allowing quick and distributed detection of emergencies. However, a recurrent problem has been the positioning and further deployment of such detection units in a way that the particularities of each target city are properly considered. In this sense, this article proposes the processing of geospatial data about existing urban infrastructure associated with some critical response after an emergency is detected, selecting hospitals, police stations, fire departments, and metro stations, in the target city. These infrastructures are then exploited to define the novel concept of mitigation zones, which indirectly express the perceived level of urban resilience to emergencies. Then, four positioning algorithms are proposed to exploit the mitigation zones considering a defined set of available detection units for deployment. Since the proposed approach is valid for any city, provided that geospatial data is available, it could be largely adopted to support different smart city systems, potentially bringing significant results in this area.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 15