Zhand, Sepehr;
Varoudis, Tasos;
Karimi, Kayvan;
(2024)
Decoding Tehran.
In:
Proceedings of the 14th International Space Syntax Symposium.
(pp. pp. 2037-2064).
University of Cyprus
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Abstract
Urban systems are intricate and dynamic, arising from a complex interplay between topdown planning, grassroots initiatives, and the influence of a growing population. These systems evolve in response to concurrent trends in overarching processes, planning policies, and migration patterns. Over time, as a city undergoes transformative changes, it adapts to a multitude of conditions that collectively define its unique character. This implies that a city's configuration comprises distinct types intricately connected to a variety of non-spatial factors, encompassing the physical, social, political, and other overarching elements shaping its identity. This study uses the spatial network of the metropolitan area of Tehran and examines how properties captured through space syntax analysis – specifically Integration and choice - serve to identify types linked to these measures. The fundamental premise of this research is grounded in the idea that the street network's segments and the city's spatial configuration encapsulate its developmental trajectory. Employing unsupervised classification technique at local to global radii, this study uncovers distinct urban types inherently linked to overarching policies and planning strategies. Leveraging the street network model of Tehran's metropolitan area, this research employs syntactic measures to identify clusters, which are then evaluated against various spatial and non-spatial metrics. These identified spatial configuration types exhibit selfsimilarity and correspond to specific planning and policymaking processes. In the context of this study, we argue that by exercising a degree of supervision over the number of clusters and their stability, one can employ unsupervised classification techniques over syntactic measures to reveal the physical development patterns of the city. We put this methodological approach forward as a way of typological classification of cities
Type: | Proceedings paper |
---|---|
Title: | Decoding Tehran |
Event: | 14th International Space Syntax Symposium |
Location: | Nicosia, Cyprus |
Dates: | 24th-28th June 2024 |
ISBN-13: | 979-12-5669-032-9 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.36158/979125669032992 |
Publisher version: | https://www.tabedizioni.it/shop/product/space-synt... |
Language: | English |
Additional information: | © The Authors 2024. Original content in this paper is licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Spatial network, Space Syntax analysis, unsupervised clustering, K-Means clustering, Contingency map |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Architecture |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10204009 |
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