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Flyen, C, Hauge , Å L, Almås, A-J and Godbolt , Å L (2018) Municipal collaborative planning boosting climate resilience in the built environment. International Journal of Disaster Resilience in the Built Environment, 9(01), 58-69.
Gatti, M P (2018) Maintenance, reconstruction and prevention for the regeneration of historic towns and centers. International Journal of Disaster Resilience in the Built Environment, 9(01), 96-111.
Godbolt, Å L, Flyen, C, Hauge, Å L, Flyen, A-C and Moen, L L (2018) Future resilience of cultural heritage buildings: how do residents make sense of public authorities’ sustainability measures?. International Journal of Disaster Resilience in the Built Environment, 9(01), 18-30.
Lassandro, P and Cosola, T (2018) Climate change mitigation: resilience indicators for roof solutions. International Journal of Disaster Resilience in the Built Environment, 9(01), 4-17.
Marques, M, Monteiro, R and Delgado, R (2018) An improved model for seismic risk assessment in Portugal. International Journal of Disaster Resilience in the Built Environment, 9(01), 70-83.
Ortiz, R, Macias-Bernal, J M and Ortiz, P (2018) Vulnerability and buildings service life applied to preventive conservation in cultural heritage. International Journal of Disaster Resilience in the Built Environment, 9(01), 31-47.
- Type: Journal Article
- Keywords: risk analysis; vulnerability; preventive conservation; hazard mapping; Delphi and artificial intelligence tools; monument
- ISBN/ISSN:
- URL: https://doi.org/10.1108/IJDRBE-11-2016-0047
- Abstract:
Purpose The purpose of this paper is to present research on vulnerability and service life indexes applied to cultural heritage buildings. The construction and rehabilitation industry is concerned with the maintenance of monuments and reducing the economic costs of urgent interventions by taking preventive conservation action in historic cities. By applying a vulnerability index or analyzing the service life of buildings, it is possible to reduce risk and optimize the identification, evaluation and prioritization of urgent monument restoration tasks in a city or a region to establish preventive conservation policies. Design/methodology/approach This research sets out the concepts of vulnerability and service life, focusing on their methodologies in comparison with other techniques for building diagnosis, discussing the differences between indexes that measure the vulnerability and service life of buildings. Findings The vulnerability of three churches in Seville (Spain) was studied by means of their vulnerability index, based on Delphi analysis, and the service life of these buildings was also assessed, based on artificial intelligence tools. Delphi and artificial intelligence tools allow us to compare and dovetail different scenarios and expert opinions. The degree of each monument’s conservation is defined as its vulnerability index, which is an indirect function of deterioration levels. The service life of buildings, on the other hand, includes the assessment of vulnerability and hazards. Practical implications This study is useful for stakeholders, including small and medium enterprises (SMEs) and policymakers, as an important reference on diagnosis, including updated, inexpensive and sustainable methodologies to manage the conservation of monuments, which are easy to implement in developed and developing countries. The application of vulnerability and/or service life indicators is crucial to ensuring the sustainability and improvement of maintenance carried out on cultural heritage buildings. Originality/value This study details new approaches based on artificial intelligence and Delphi analysis to prioritize preventive conservation actions in a city or region.
Rahouti, A, Datoussaïd, S and Descamps, T (2018) Safety assessment of a high-rise dormitory in case of fire. International Journal of Disaster Resilience in the Built Environment, 9(01), 84-95.
Yaman Galantini, Z D and Tezer, A (2018) Resilient urban planning process in question: Istanbul case. International Journal of Disaster Resilience in the Built Environment, 9(01), 48-57.