COMPUTATIONAL ANALYSIS FOR DESIGN DEVELOPMENT EVALUATION IN SPATIAL PLANNING

The influence of new technological software on architectural design is increasing with every passing day. This led to new horizons discovery in spatial analysis and design interpretation and extended by engaging different techniques based on computational design and human-computer interaction. Throughout the architectural design process, decision-making on spatial performance parameters such as visibility, density, and building typology is frequently taken by examining a limited number of materials. They are conventionally optimized by employing repetitive experimentations without systematically evaluating the complete range of potential designs and their efficient outcomes. A computational design analysis approach of spatial morphological structure based on several indicators is presented in response to this challenge. This research compares contextual spatial analysis with computational methods and determines the consistency of Eskisehir technical university master plan expansion mechanisms through the relationship between layout and spatial arrangement, connectivity and accessibility, and built area and open space of the university map in two different periods (2005/2020). For density measurements, Ground Space Index (GSI), Floor Area Ratio (FAR), and Open Space Ratio (OSR) calculations in urban spatial planning are analyzed. Furthermore, the Isovist analysis (Attractiveness, Extent of observation, line of orientation, and arrangement) and their visual quality was examined using the logical interpretation approach. The collected visual and numerical data show that the visual quality of the observer's full view, as seen from the center of the university campus master plan, is directly related to the open space and built environment. The visibility and density characteristics of the university campus master plan showed that these analytical techniques are very responsive to the design limitation and context requirements. The presented application has evaluated the visual aspects of each of the university campus maps to deliver a technique to the designers so that they may implement their requested visual characteristics in future design expansion.