Optimising Porosity
A Temporal Framework for Architectural Innovation and Experimentation in Train Stations
Inès Zaid (TU Delft - Building Knowledge)
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Abstract
Cities are increasingly challenged by rapid urbanisation and resource scarcity exacerbated by the obsolescence of the buildings composing them. Civic buildings are particularly sensitive to uncertainty and disruptors, which underscores the necessity to enhance adaptability in these structures, exemplified by transit hubs. The research employs a design-driven approach to investigate how trains stations can evolve over time, concentrating on the concepts of learning framework illustrated by the participatory method offered by the movements and lack thereof within and around train stations. This investigation demonstrates how these structures live or atrophy through time, and rests on the investigation of porosity as a key factor enabling their capacity to adapt to shifting urban demands. By analysing case studies and utilising computational methods, this research aims to optimise the design of transit hubs, enhancing their resilience and integration into the urban fabric. Ultimately, the research envisions buildings as active participants, capable of learning and evolving through stakeholder engagement and experimental design processes.
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