Parametric Modelling of Urban Networks: Assessing the Socio-Economic Integration of Heritage Institutions through the Case of ISBAT, Tunis

Authors

DOI:

https://doi.org/10.25034/ijcua.2026.v10n1-6

Keywords:

Parametric Modelling, Urban Networks, Socio-Economic Integration, Heritage Institutions, Connectivity Analysis, Urban Accessibility, Spatial Metrics, Sustainable Urban Development

Abstract

This study proposes a parametric modelling framework to assess the socio-economic integration of heritage institutions within urban networks, using the Higher Institute of Fine Arts of Tunis (ISBAT) as a case study. While heritage urbanism has often relied on qualitative interpretation, limited attention has been given to measurable indicators that connect spatial configuration, institutional relationships, and socio-economic urban dynamics. To address this gap, the research combines OpenStreetMap geospatial data, Rhinoceros 3D, and Grasshopper-based parametric modelling to evaluate ISBAT’s connectivity, accessibility, and institutional diversity within the urban fabric of Tunis. Three indicators—Connectivity Density, Accessibility Radius, and Institutional Diversity Index—are developed to translate relational urban conditions into measurable variables. The findings show that ISBAT functions as a central urban node, benefiting from short walking-distance accessibility to major institutions, dense spatial connections, and strong interaction with cultural, educational, governmental, and infrastructural systems. The study contributes to heritage-led urban research by demonstrating how parametric modelling can support evidence-based analysis, planning decisions, and sustainable integration of heritage institutions within contemporary urban networks.

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Published

2026-06-25

How to Cite

Sahtout, I. (2026). Parametric Modelling of Urban Networks: Assessing the Socio-Economic Integration of Heritage Institutions through the Case of ISBAT, Tunis. Journal of Contemporary Urban Affairs, 10(1), 133-152. https://doi.org/10.25034/ijcua.2026.v10n1-6

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