URBAN MORPHOLOGY GENERATION FROM THE PERSPECTIVE OF PUBLIC SPACE INDICATORS

Abstract

The application of parametric tools based on the big data assessment allow to study the city’s organization in a qualitative way. Urban morphology is a complex subject that may be characterized by its spatial relationships, built typologies and dimensions. Urban Morphology Indicators (UMIs) and Open Space Indicators (OSIs) help to define and evaluate the built environment. The present studies within the framework of analysis have already generated efficient urban morphologies, but mainly consider Building, Plot and Street indicators, with very few acknowledging OSI and almost none take them into account. This study establishes a framework by integrating different UMIs and OSIs that are most suitable for simulating urban generative design from the perspective of public spaces. Classification of the necessary indicators is a crucial step in receiving the data from the urban context. The developed framework is applied in the urban context of Tirana, at the site of Astir which is located at the southwest periphery. The existing urban development is used to calculate the UMIs which are used as a reference for the further generation of the public space scenarios. The urban analysis is performed using QGIS while the development scenario is generated using GH (grasshopper). The evaluation of the scenarios based on the calculation of various morphological indicators and visibility analysis help to define the best performing scenario. The proposed strategy aids urban planners and architects in developing public space-based sustainable strategies and efficient urban planning.