Floods are acknowledged as one of the most serious threats to people's lives and properties worldwide. To mitigate the flood risk, it is possible to act separately on its components: hazard, vulnerability, exposure. Emergency management plans can actually provide effective non-structural practices to decrease both human exposure and vulnerability. Crowding maps depending on characteristic time patterns, herein referred to as dynamic exposure maps, represent a valuable tool to enhance the flood risk management plans. In this paper, the suitability of mobile phone data to derive crowding maps is discussed. A test case is provided by a strongly urbanized area subject to frequent flooding located on the western outskirts of Brescia (northern Italy). Characteristic exposure spatiotemporal patterns and their uncertainties were detected with regard to land cover and calendar period. This novel methodology still deserves verification during real-world flood episodes, even though it appears to be more reliable than crowdsourcing strategies, and seems to have potential to better address real-time rescues and relief supplies.

(2020). Dynamic maps of human exposure to floods based on mobile phone data [journal article - articolo]. In NATURAL HAZARDS AND EARTH SYSTEM SCIENCES. Retrieved from http://hdl.handle.net/10446/228010

Dynamic maps of human exposure to floods based on mobile phone data

Metulini, Rodolfo;
2020-12-17

Abstract

Floods are acknowledged as one of the most serious threats to people's lives and properties worldwide. To mitigate the flood risk, it is possible to act separately on its components: hazard, vulnerability, exposure. Emergency management plans can actually provide effective non-structural practices to decrease both human exposure and vulnerability. Crowding maps depending on characteristic time patterns, herein referred to as dynamic exposure maps, represent a valuable tool to enhance the flood risk management plans. In this paper, the suitability of mobile phone data to derive crowding maps is discussed. A test case is provided by a strongly urbanized area subject to frequent flooding located on the western outskirts of Brescia (northern Italy). Characteristic exposure spatiotemporal patterns and their uncertainties were detected with regard to land cover and calendar period. This novel methodology still deserves verification during real-world flood episodes, even though it appears to be more reliable than crowdsourcing strategies, and seems to have potential to better address real-time rescues and relief supplies.
articolo
Balistrocchi, Matteo; Metulini, Rodolfo; Carpita, Maurizio; Ranzi, Roberto
(2020). Dynamic maps of human exposure to floods based on mobile phone data [journal article - articolo]. In NATURAL HAZARDS AND EARTH SYSTEM SCIENCES. Retrieved from http://hdl.handle.net/10446/228010
File allegato/i alla scheda:
File Dimensione del file Formato  
12.+Balistrocchi_et_al_2020_NHESS (1).pdf

accesso aperto

Versione: publisher's version - versione editoriale
Licenza: Creative commons
Dimensione del file 921.81 kB
Formato Adobe PDF
921.81 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10446/228010
Citazioni
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 5
social impact