Abstract (EN):
The Sendai Framework for Disaster Risk Reduction (SFDRR) upholds the development and
implementation of measures to reduce hazard exposure and vulnerability to disasters. Among other aspects,
the SFDRR recognizes the importance of cultural heritage and its irreplaceable value for society, thus
emphasising the need to assess the impact that potential hazards may have on the built cultural heritage.
Developing adequate risk assessment and management processes are fundamental towards this end and it
is known that systematically collected and robust disaster damage and loss data are essential for such
processes. Thus, the development of systems, models and methodologies to collect and handle such data are
seen to be a current worldwide priority.
In this context, the proposed paper presents a database framework for the worldwide collection of
immovable cultural heritage disaster loss data currently being developed by ICOMOS/ICORP with the support
of other organisations, namely the Faculty of Engineering of the University of Porto, Portugal. The concepts
and technical aspects related to the data being collected and its structured organisation are discussed, as
well as the type and format of the indicators being recorded. Furthermore, challenges and obstacles
regarding the possibility of collecting cultural heritage disaster loss data are discussed as well as its benefits
for the development of more rational disaster risk management approaches for cultural heritage. Among
other features of the database framework, a possible indicator to estimate economic losses representing the
loss in value of cultural heritage properties due to damage caused by hazardous events is also discussed. This
indicator estimates the loss in value of cultural heritage properties as a function of the (physical) damage
they suffered and of the positive estimated economic impact that cultural heritage has in a given country.
Details of this estimator are provided along with its potential applications within the SFDRR.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
8
License type: