The large-scale management and monitoring of existing buildings is a complex issue for the holders and administrators that are responsible for user safety. Decision support systems (DSS) can be used to simplify such operations and to detect the criticalities that can compromise human safety or building usability. This paper proposes a DSS designed for detecting building criticalities, which includes a software application (APP) implemented on mobile devices and a web service-based quality detection platform (QDP) that stores and processes data. The APP allows the building users to report criticality through photographic inspection and to answer a suitable questionnaire. The collected data are processed by the QDP, which quantifies critical issues through a set of key performance indices (KPIs). The KPI formulations are computed by an optimized analytic hierarchy process (O-AHP), which is a modified version of the AHP. The DSS allows monitoring buildings at the regional scale and provides a classification of the most damaged buildings, which is useful for civil protection aims and for the prioritization of interventions.

User Reporting-Based Semeiotic Assessment of Existing Building Stock at the Regional Scale

Valentino Sangiorgio;Giuseppina Uva;Fabio Fatiguso
2018-01-01

Abstract

The large-scale management and monitoring of existing buildings is a complex issue for the holders and administrators that are responsible for user safety. Decision support systems (DSS) can be used to simplify such operations and to detect the criticalities that can compromise human safety or building usability. This paper proposes a DSS designed for detecting building criticalities, which includes a software application (APP) implemented on mobile devices and a web service-based quality detection platform (QDP) that stores and processes data. The APP allows the building users to report criticality through photographic inspection and to answer a suitable questionnaire. The collected data are processed by the QDP, which quantifies critical issues through a set of key performance indices (KPIs). The KPI formulations are computed by an optimized analytic hierarchy process (O-AHP), which is a modified version of the AHP. The DSS allows monitoring buildings at the regional scale and provides a classification of the most damaged buildings, which is useful for civil protection aims and for the prioritization of interventions.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/147361
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • Scopus 27
  • ???jsp.display-item.citation.isi??? 22
social impact