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Spatial Design Network Analysis (sDNA)/Evidence
Method evidence record

Spatial Design Network Analysis (sDNA)

Spatial Design Network Analysis (sDNA) is a toolkit for analysing street and path networks as link-based spatial graphs, measuring how individual road segments function as routes and destinations within the larger network. Developed by Crispin Cooper and Alain Chiaradia at Cardiff University, it computes closeness- and betweenness-style measures over geometrically accurate, optionally three-dimensional networks, using hybrid distance metrics that blend metric length, angular turn cost and topological steps. By weighting links and analysing them within chosen radii, sDNA predicts pedestrian and vehicle flows, land values and accessibility, bridging the configurational tradition of space syntax with mainstream geographic-information-system network analysis.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Spatial Design Network Analysis (sDNA): Link-Based 3D Spatial Network Analysis
Taxonomic method record · process-pipeline / urban-studies
  • Cooper, C. H. V., & Chiaradia, A. J. F. (2020). sDNA: 3-d spatial network analysis for GIS, CAD, Command Line & Python. SoftwareX, 12, 100525. · DOI 10.1016/j.softx.2020.100525
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyAccessibility Analysismachine-suggested · Relational suggestion, not evidence.Same method familySpace Syntax Analysismachine-suggested · Relational suggestion, not evidence.Same method familyStreet Network Analysismachine-suggested · Relational suggestion, not evidence.Same method familySyntactic Step Depthmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

1 recorded citation, copied from the method source record.

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