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| Titel |
A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas |
| VerfasserIn |
R. Albano, A. Sole, J. Adamowski, L. Mancusi |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 14, no. 11 ; Nr. 14, no. 11 (2014-11-04), S.2847-2865 |
| Datensatznummer |
250118741
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| Publikation (Nr.) |
 copernicus.org/nhess-14-2847-2014.pdf |
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| Zusammenfassung |
| Efficient decision-making regarding flood risk reduction has become a
priority for authorities and stakeholders in many European countries. Risk
analysis methods and techniques are a useful tool for evaluating costs and
benefits of possible interventions. Within this context, a methodology to
estimate flood consequences was developed in this paper that is based on
GIS, and integrated with a model that estimates the degree of accessibility
and operability of strategic emergency response structures in an urban area.
The majority of the currently available approaches do not properly analyse
road network connections and dependencies within systems, and as such a loss
of roads could cause significant damages and problems to emergency services
in cases of flooding. The proposed model is unique in that it provides a
maximum-impact estimation of flood consequences on the basis of the
operability of the strategic emergency structures in an urban area, their
accessibility, and connection within the urban system of a city (i.e.
connection between aid centres and buildings at risk), in the emergency
phase. The results of a case study in the Puglia region in southern Italy
are described to illustrate the practical applications of this newly
proposed approach. The main advantage of the proposed approach is that it
allows for defining a hierarchy between different infrastructure in the
urban area through the identification of particular components whose
operation and efficiency are critical for emergency management. This
information can be used by decision-makers to prioritize risk reduction
interventions in flood emergencies in urban areas, given limited financial
resources. |
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