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Urban Form Morphometrics×Street Network Analysis×
ÁreaUrban StudiesUrban Studies
FamíliaProcess / pipelineProcess / pipeline
Ano de origem20192017
Autor originalQuantitative urban-morphology tradition; momepy toolkit by Martin FleischmannGeoff Boeing (OSMnx); graph-theoretic street analysis tradition
TipoSystematic quantitative measurement of urban form across buildings, plots, blocks, and streetsGraph-theoretic measurement of street-network structure and connectivity
Fonte seminalFleischmann, M. (2019). momepy: Urban Morphology Measuring Toolkit. Journal of Open Source Software, 4(43), 1807. DOI ↗Boeing, G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65, 126–139. DOI ↗
Outros nomesUrban Morphometrics, Quantitative Urban Morphology, Morphometric Analysis of Urban Form, Built-Form MorphometricsStreet Pattern Analysis, Road Network Metrics, Urban Street Connectivity Analysis, Configurational Street Analysis
Relacionados44
ResumoUrban form morphometrics is the systematic, quantitative measurement of the physical form of cities — the dimensions, shapes, spatial arrangement, intensity, and connectivity of buildings, plots, blocks, and streets. Rather than describing morphology in words, it computes hundreds of reproducible numerical characters on each morphological element and its local context, turning the qualitative tradition of urban morphology into a measurable science. The open-source momepy toolkit, introduced by Martin Fleischmann in 2019, standardized this workflow, building a morphological tessellation from building footprints and computing dimension, shape, distribution, intensity, and connectivity characters at scale.Street 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.
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ScholarGateComparar métodos: Urban Form Morphometrics · Street Network Analysis. Recuperado em 2026-06-25 de https://scholargate.app/pt/compare