VERNACULAR REHABILITATION AND REBUILDING FOR POST-CONFLICT MIGRATION AND RESETTLING
- 1Department of Architecture, Design and Media Technology, Aalborg University, Aalborg, Denmark
- 2Departmnet of urban studies, Malmo University, Sweden
- 3Department of architecture, built environment and construction engineering, Politecnico di Milano, Italy
- 4Centre of Information Technologies and Architecture, The Royal Danish Academy of Fine Arts Schools of Architecture, Design and Conservation, Copenhagen, Denmark
Keywords: Earthen vernacular, Forced migration, Post-conflict, Rehabilitation, Reuse, Parametric modelling, Algorithmic design, refugee settlement
Abstract. Internal and external migration from vernacular settlements is not a new phenomenon. However, the scale and scope increased when forced migration is becoming exacerbated due to both armed conflicts and climate change. Political tensions are one of the most common threats to vernacular dwellings in conflict areas. Not only do destruction and vandalism cause harm to vernacular architecture, but people living in vernacular buildings are often forced to leave their homes in order to seek safety. On the other hand, vernacular architecture can help refugee crises in hosting countries. Billions of dollars are invested in establishing temporary refugee camps, yet we know for a fact they are rarely temporary. People stay in such camps for decades, commonly Cons located on the outskirts of cities, where vernacular settlements also tend to be. Investments in rebuilding, restoring and reusing vernacular settlements can be a win-win situation. The time and cost of the rehabilitation process might also not be suitable to many camps, or camp-like, contexts. Also, encounters some regulations for listed vernacular heritage sites that cannot be used as dwellings and must be kept as open museums. In this study, a proposal for reusing and rehabilitating vernacular settlements will be discussed together with reflections on challenges and obstacles. The case study chosen for this research is in the Middle East, where the majority of refugees settled after the Arab Spring. This paper demonstrates a methodology in which algorithmic modelling is applied to refugee settlement site planning.