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Pathways to creating differentiated grids

Types, benefits and costs

Bibliographic Data

ID21247653
AuthorsChen Feng (0000-0003-3151-9406, Georgia Institute of Technology, corresponding author), John Peponis (0000-0002-9935-0566, Georgia Institute of Technology)
Year2022
Volume49
Issue2
Pages535-548
Publication date2022-02-01
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning B Urban Analytics and City Science (JOURNAL)
Journal identifiersISSN: 2399-8083 • E-ISSN: 2399-8091
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/23998083211013818
OpenAlexW3163746501
LanguageEN
Citations received3
References cited11

The patterns of syntactic differentiation and their causes and effects are fundamental to space syntax analysis. Often, however, differentiation is taken for granted with no reference to the dynamic process that brings it about. Here, we first show that by measuring the amount of syntactic differentiation, we can better distinguish between types of street networks. We then show that repeated local transformations of a regular street grid lead to different yet largely predictable trajectories of differentiation depending upon the rules used. Finally, we show that different paths to differentiation entail different costs in terms of undesirable properties. This allows us to better assess the likely consequences of design moves and their appropriateness relative to design intentions

Algorithm · Automatic differentiation · Grid · Mathematical economics · Product differentiation · Programming language · Space syntax · Syntax · Color perception and design · Computer Science · Mathematics · Spatial Cognition and Navigation · Urban Design and Spatial Analysis · Artificial Intelligence

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Citations per year0.75
Citation span2022 - 2026 (5)
Highly citedNo

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