The assessment of earthquakes vulnerability of buildings is a key step in the analysis of seismic risk of a territory. The aim of this study is the identification of an appropriate sampling design for the analysis of the earthquake vulnerability of the residential buildings in the city of Florence. In order to identify such a design we have considered that the buildings are statistical units selected from a territory and therefore could be spatially correlated. Since in these cases it is advantageous to select units well spread over the territory, we propose a spatial balanced sampling design. In addition to the information on the geographical location of each building, the suggested sampling design takes into account other auxiliary information on characteristics of the buildings that may affect their vulnerability.

A sampling design for the evaluation of earthquakes vulnerability of the residential buildings in Florence / Rocco, Emilia; Bertaccini, Bruno; Biagi, Giulia; Giommi, Andrea. - ELETTRONICO. - (2017), pp. 861-865. (Intervento presentato al convegno SIS 2017 Statistical Conference: STATISTICS AND DATA SCIENCE: NEW CHALLENGES, NEW GENERATIONS tenutosi a Firenze nel 28 - 30 giugno 2017).

A sampling design for the evaluation of earthquakes vulnerability of the residential buildings in Florence

ROCCO, EMILIA;BERTACCINI, BRUNO;BIAGI, GIULIA;GIOMMI, ANDREA
2017

Abstract

The assessment of earthquakes vulnerability of buildings is a key step in the analysis of seismic risk of a territory. The aim of this study is the identification of an appropriate sampling design for the analysis of the earthquake vulnerability of the residential buildings in the city of Florence. In order to identify such a design we have considered that the buildings are statistical units selected from a territory and therefore could be spatially correlated. Since in these cases it is advantageous to select units well spread over the territory, we propose a spatial balanced sampling design. In addition to the information on the geographical location of each building, the suggested sampling design takes into account other auxiliary information on characteristics of the buildings that may affect their vulnerability.
2017
SIS 2017 - Statistics and Data Science: new challenges, new generations
SIS 2017 Statistical Conference: STATISTICS AND DATA SCIENCE: NEW CHALLENGES, NEW GENERATIONS
Firenze
28 - 30 giugno 2017
Goal 3: Good health and well-being for people
Rocco, Emilia; Bertaccini, Bruno; Biagi, Giulia; Giommi, Andrea
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1088996
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