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Opportunities and Challenges in Applying Light-weight National-scale Spatial Network Models

McCoshan, E; McDonald, O; Wilmot, S; Karimi, K; Krug, JL; (2022) Opportunities and Challenges in Applying Light-weight National-scale Spatial Network Models. In: van Nes, A and de Koning, RE, (eds.) Proceedings 13th International Space Syntax Symposium, SSS 2022. (pp. p. 509). Department of Civil Engineering Western Norway University of Applied sciences: Bergen, Norway. Green open access

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Abstract

This paper explores the use of light-weight national-scale spatial network models in order to develop methods of understanding urban environments in developing contexts with limited data, budgets and time availability. The validity of national-scale analysis has been established in research focussed on the United Kingdom and United States of America, but not in other socioeconomic and spatial landscapes. In order to evalute the extent to which this methodology still holds, Uruguay and The Maldives are taken as case studies. Open-source road-centre line data is used to construct spatial network models, which are analysed using space syntax analysis. First, each spatial network model is correlated with open-source population data to explore potential relationships between spatial network density (node count) and population. The study finds a notable relationship between national-scale population distribution and citywide node count, where the citywide radii of analysis is taken as the average global radii of the cities in each country under evaluation. Second, a comparative analysis of cities within each country is undertaken, finding that capital cities are consistently above the linear trendline. Potential uses of this approach in future applications are highlighted, for instance, in practical evidence-based decision making, and in research across larger samples of countries and variables. It is argued that, despite data, time and budget constraints, it is possible to construct light-weight national-scale spatial network models that are insightful in-and-of themselves, and in conjuction with other globally-available open-source data. This presents significant opportunities to equalise access to evidence-based urban design and policy.

Type: Proceedings paper
Title: Opportunities and Challenges in Applying Light-weight National-scale Spatial Network Models
Event: 13th International Space Syntax Symposium, SSS 2022
ISBN-13: 9788293677673
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.hvl.no/en/research/conference/13sss/
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: National model, light-weight, developing nation, data-driven, spatial analysis
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/10163407
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