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Formalising the urban pattern language

A morphological paradigm towards understanding the multi-scalar spatial structure of cities

Bibliographic Data

ID6419747
AuthorsCai Wu (0000-0002-5578-5525), Jiong Wang (0000-0002-4632-6191), Mingshu Wang (0000-0001-5260-3143), Filip Biljecki (0000-0002-6229-7749), Menno-Jan Kraak (0000-0002-8605-0484)
Year2025
Volume161
Pages105854-105854
Publication date2025-03-04
Open AccessYes
TypeARTICLE
VenueCities (JOURNAL)
Journal identifiersISSN: 0264-2751 • E-ISSN: 1873-6084
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.cities.2025.105854
OpenAlexW4408130353
LanguageEN
Citations received6
References cited76

The urban form is a foundational element in urban analytics, planning, and design. However, systematic and consistent depiction of urban form is challenging due to the complexity of urban elements and the variety of scales involved. This paper formalizes the concept of ‘urban pattern language’ as a multi-scalar analytical approach to decode such complexity, drawing on Christopher Alexander's idea that offers solutions for recurrent design problems observed in historic and contemporary urban settings. This analytic approach is applied to two case study cities to explore how urban forms can be decoded and communicated across scales and demonstrate how urban morphological elements can be systematically organised into recognisable patterns that simplify analysis and enhance understanding. The findings show that these patterns are not arbitrary but follow structured, rule-based relationships that vary across scales, revealing an underlying order within the urban form. Finally, the study illustrates that these rules are unique to each city, potentially reflecting specific cultural, historical, and spatial contexts. By identifying city-specific, multi-scalar patterns, this framework offers a powerful framework for urban planning and design, allowing practitioners to develop adaptable and context-sensitive strategies. © 2025 The Author(s

Economic geography · Geography · Geometry · Scalar (mathematics · Sociology · Land Use and Ecosystem Services · Mathematics · Remote Sensing and Land Use · Urban Design and Spatial Analysis

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Citations per year6
Citation span2025 - 2026 (2)
Highly citedNo

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