The Configurational Structures of Social Spaces: Space Syntax and Urban Morphology in the Context of Analytical, Evidence-Based Design

Kayvan Karimi ()
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Kayvan Karimi: The Bartlett School of Architecture, UCL, London WC1H 0QB, UK

Land, 2023, vol. 12, issue 11, 1-23

Abstract: This article presents an argument for the enhanced utilisation of urban morphology in urban design, drawing inspiration from space syntax theory and methodologies, advocating for the integration of social, economic, and cultural considerations alongside physical structures. This perspective shift entails transitioning from descriptive analysis to quantitative inquiries for the prediction and assessment of urban dynamics. By incorporating spatial analysis and socio-economic factors, urban morphology offers a competent understanding of the complexities inherent to urban environments. This comprehension supports the development of evidence-based designs and predictive models that enable such an approach in urban design. To operationalise this approach, the article introduces a methodology that interlinks urban morphology and design through a cyclic process encompassing analysis, design, evaluation, and further design development. This framework is illustrated through the case study of Jilin City, where an assessment of the public transport system led to a comprehensive urban design strategy. The study demonstrates how urban morphology insights, supported by analytical investigations enabled by space syntax methodology, can actively influence urban design and planning practices. By effectively embedding this morphological approach, urban designers and planners acquire the tools needed to navigate the evolving urban systems while respecting the interplay between physical structures and human existence. The article concludes by highlighting the need for an ongoing evolution of this approach to maintain relevance in shaping future urban settings.

Keywords: urban morphology; space syntax; integration; socio-economic impact; analytical design; evidence-based design; spatial models; predictive models (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:11:p:2084-:d:1283950

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