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Street Network Analysis×Avaruussyntaksianalyysi×
TieteenalaUrban StudiesArkkitehtuuri
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi20171984
KehittäjäGeoff Boeing (OSMnx); graph-theoretic street analysis traditionBill Hillier, Julienne Hanson
TyyppiGraph-theoretic measurement of street-network structure and connectivitygraph-based spatial assessment method
AlkuperäislähdeBoeing, G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65, 126–139. DOI ↗Hillier, B. (1984). The Social Logic of Space. Cambridge University Press. DOI ↗
RinnakkaisnimetStreet Pattern Analysis, Road Network Metrics, Urban Street Connectivity Analysis, Configurational Street Analysisspatial configuration analysis, graph-based space analysis
Liittyvät43
TiivistelmäStreet network analysis treats a city's streets as a mathematical graph — intersections as nodes, street segments as edges — and measures its structure with graph-theoretic indicators of connectivity, density, centrality, and efficiency. From this representation come the metrics that distinguish a permeable grid from a tree-like cul-de-sac suburb: intersection density, average node degree, the share of dead-ends, betweenness centrality, and circuity (how much longer network routes are than straight lines). Tools such as Geoff Boeing's OSMnx made it routine to download, model, and analyse the street network of any place on Earth from OpenStreetMap, turning street-pattern analysis into a reproducible, comparative science of urban form.Space Syntax Analysis is a quantitative method for assessing spatial configuration in buildings and urban environments through graph-based representations. Developed by Bill Hillier and Julienne Hanson in the 1980s, it quantifies how spatial layout affects human movement, visibility, and social interaction.
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ScholarGateVertaile menetelmiä: Street Network Analysis · Space Syntax Analysis. Haettu 2026-06-24 osoitteesta https://scholargate.app/fi/compare