Resumen
Historic sites are threatened by diverse weather patterns, mainly due to global climate change, such as sea-level rise and increasing frequency of storms and other extreme precipitation events. As climate change is becoming an increasing urban problem, heritage located in this context is considered as a sensitive and vulnerable element of the city. Adaptation should be oriented to a sustainable transformation of the historic city, leading to more resilient and safe environments. Risk-based approaches should incorporate an assessment of sensitiveness and capacity to adapt to these hazards. Vulnerability is often assessed on a large scale (e.g. regional, local) and buildings are not considered as part of the urban environment, while conservation is often developed on the operational scale of a monument or site. Management of cultural heritage requires therefore for an urban approach, which considers all the elements and buildings as part of the urban environment. Research presented in this paper describes a methodological approach (MIVES - Integrated Value Model for Sustainability Assessment) for vulnerability assessment of historic sites, supported by multilevel indicators (urban, building, element), in order to provide an informed decision-making. The solution proposed in based on an organised and structures decision tree, which provides a comparable and unique vulnerability index on the building level.
Idioma original | Inglés |
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Número de artículo | 012028 |
Publicación | IOP Conference Series: Materials Science and Engineering |
Volumen | 364 |
N.º | 1 |
DOI | |
Estado | Publicada - 18 jun 2018 |
Evento | Florence Heri-Tech 2018 - The Future of Heritage Science and Technologies - Florence, Italia Duración: 16 may 2018 → 18 may 2018 |
Palabras clave
- Climate change
- Decision trees
- Historic preservation
- Precipitation (meteorology)
- Risk assessment
- Sea level
- Sustainable development
- Urban growth
Project and Funding Information
- Funding Info
- Authors would like to acknowledge the funding provided by the Basque Government through the_x000D_ ADVICE project and the research group IT781-13 at the UPV/EHU.