Data-driven urban representation: An operational challenge for resilient cities: an operational challenge for resilient cities


Uçar Kırmızıgül B., İnan Çınar A. D.

Arts and Humanities in Digital Transition, Lisbon, Portekiz, 6 - 07 Temmuz 2023, ss.11, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: Lisbon
  • Basıldığı Ülke: Portekiz
  • Sayfa Sayıları: ss.11
  • TED Üniversitesi Adresli: Evet

Özet

The physical and conceptual transformations that the cities have undergone in the last decades as a consequence of the environmental degradation, ecological destruction, and anthropogenic climate changes altered the urban conditions and their representations in a significant way and required the re-conceptualization of the city as a more complex, saturated, and open structure. Urban condition(s) of the contemporary city, where different agencies are associated through various spatial confrontations are redefined as an ecosystem with all its components; socioeconomic, biological, geographical, ecological, and experiential. Unfolding these redefined urban conditions demands a holistic lens in order to understand the extent associations and web of relations, which facilitate the consideration of both human and non-human agencies (Latour, 2005)*. Incorporating all vibrant agents in the definition of the urban conditions provides a multi-focal rendering of the associations and enables them to respond to the intricacy of the economic, political, and ecological relations of the 21st century. The proposed paper will consider the data-driven system proposals as innovative design practices which hold the potential of defining an alternative approach to studying the resilience of the city. Within this framework, the paper will structure the discussion in reference to data-driven urban representations for the city of Beirut which are produced in an undergraduate architectural design studio. Aiming to provide adaptive, solitary, and resilient strategies for the particular urban conditions of Beirut (such as transportation, population, contamination, public grounds etc.) sets of data-driven representations were produced. The massive amount of data collected, studied, and represented at different scales exposed the city with its visible and invisible features and enabled alternative readings and representations of the city. Various data sets translated into different forms of mapping strategies are believed to unfold a series of discussions on the capacities of the city to reinvent itself constantly, correlate innovation at many scales; and therefore, bring out alternative frameworks for urban innovability.