Programming Architecture










Project Text

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Studio Advisor: Marshall Prado
Site:
Downtown Knoxville, TN
Term:
Fall 2020
Program:
Transportation Hub


Programming Architecture aims to address urban infrastructural divides and seeks to highlight the lack of connection within the urban fabric of downtown Knoxville, Tennessee.


Project Goals: The train station, situated over 8 active rail lines, and sandwiched between multiple, massive highways and streets, is a place meant, not to hide the infrastructure that is necessary, but to highlight an urban condition one seemingly dismisses. Not only does it address urban and infrastructural environments but also creates a space for connection among travelers and users of the space.

All elements work together to assemble an object within a landscape, almost a monument to infrastructure itself.

Programming: Programming Architecture’s approach addresses the challenges of urban infrastructure and creates a dynamic space that encourages interactions and fosters a sense of community among local commuters and travelers. By seamlessly integrating form and function, Programming Architecture goes beyond being a functional necessity and becomes a testament to the resilience and adaptability of urban spaces in the face of ever-changing needs and demands. The ‘voxel’ conglomerate and location were developed into a feasible structure through the process shown at the top left of the next page. Access and connectivity were the utmost important aspects in determining the form and function of the building, as we recognized that seamless integration with the surrounding environment and community is paramount to its overall success and impact.

Forming + Locating with Voxel’s: The ‘voxel’ conglomerate and its placement within the site were created through computer-generated models based on physical urban attributes. This approach emphasizes access, connectivity, and harmonious integration with the surrounding environment and community.

Data Collection: Urban attributes, including topography, land use, and infrastructure, were collected through surveying and geospatial data techniques. This data was then converted into computational data.

Voxel Generation: The collected data was transformed into ‘voxels,’ which are 3D representations. Each ‘voxel’ encapsulates information about specific aspects of the urban environment, like elevation, land use, or transportation networks.

Spatial Analysis: The ‘voxel’ was used to analyze how different elements interacted and to optimize connectivity. This allowed for iterative design adjustments to enhance the layout’s effectiveness.

Integration: The objective was to create a structure that seamlessly blended with the existing urban fabric. By basing design decisions on ‘voxels’ derived from real-world data, the development minimizes disruption and enhances accessibility.