GeoPackage file of Astir, Tirana, and calculated UMI
Year: 2026
Type: dataset
Abstract: Generative urban design (GUD) transforms traditional typomorphological planning by utilizing computational, data-driven, participatory, social, or ecological methods. It focuses on building, street, or parcel-related indicators, with public space rarely serving as a primary design objective. To address this gap, this study develops a framework that generates design options by replicating existing urban structures using Urban Morphology Indicators (UMI) and Open Space Indicators (OSI). Astir neighborhood’s urban context serves as a reference for parcel sizes, street types, building heights and forms, and the distribution and configuration of open spaces. Grasshopper rule-based model incorporates Astir's UMI as variables and applies OSI as constraints, resulting in six different public space distribution scenarios. All generated models are well-integrated and seamlessly continue the area's character. Results show that while the Courtyard scenario features the highest built area of 38%, the Random Park scenario has the largest open space ratio of 69%, and the Boulevard and Central Park scenarios offer better accessibility and visibility. This work advances GUD by integrating data from existing neighborhoods with design proposals that prioritize open public spaces. It offers a step-by-step guide for urbanists applying computational science to generate multiple data-driven scenarios of neighborhoods with balanced public space distribution.
Source: Figshare
Authors: Anna Yunitsyna, Kledina Sallaku
Language: English
Subfield: Urban Studies
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7204214647