Landscape and existing building stock: an improvement of the resilience performance requirements

In a context of social, environmental and demographic changes, the growing exposure to risk factors as adverse economic conditions, resource shortage, climate change and growing immigration flows, housing emergency, are sources of stress and instability for cities. In the face of this reference context, to overcome the current emergency approach in favor of a resilient and adaptive management method, planning and forecasting measures are required. In fact, the increasing number of natural and man-made hazards is forcing urban organizations to be able to build more segments of resilience. Considering the integrated frameworks of knowledge, as one of the principal characteristic useful to build an effective management of vulnerability, risks and adaptation capacity in urban systems, its purposemust be transferred into multidisciplinary and inter-systemic processes and into interscalar products,from landscape scale to building and human scale. Considering the resilience as a cumulation result of coordinated processes, and assuming as reference the Resilience Framework Dimensions, this paper investigate, at building scale, the improvement of resilience performance requirements in existing and ex-novo buildings and, in landscape scale, the improvement of spatial resilience in order to be less vulnerable to the impacts of climate change and upgrade the mitigation and adaptation attitudes. In future perspective, the use of resilience indicators and threshold values would be desirable improving the methodological demand-performance-based approach and, as proposed in this paper, introducing the resilience as a new category of requirements. The future scope of this approach is to support administrators, designers, and urban planners involved in advanced adaptation and resilience-oriented urban processes to codify the concept of resilience by proposing a new class of resilience requirements and support a strategic approach based on measurable parameters in architectural planning processes.