방법 비교

	Urban Canyon Analysis	Street Network Analysis
분야	Urban Studies	Urban Studies
계열	Process / pipeline	Process / pipeline
기원 연도	1988	2017
창시자	Timothy R. Oke	Geoff Boeing (OSMnx); graph-theoretic street analysis tradition
유형	Pipeline for characterising street-canyon geometry and its microclimatic effects	Graph-theoretic measurement of street-network structure and connectivity
원전	Oke, T. R. (1988). Street design and urban canopy layer climate. Energy and Buildings, 11(1-3), 103–113.	Boeing, G. (2017). OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks. Computers, Environment and Urban Systems, 65, 126–139.
별칭	Street Canyon Analysis, Canyon Aspect Ratio Analysis, Urban Canopy Layer Analysis, H/W Ratio Analysis	Street Pattern Analysis, Road Network Metrics, Urban Street Connectivity Analysis, Configurational Street Analysis
관련	4	4
요약	Urban canyon analysis characterises a street flanked by buildings as a 'canyon' and studies how its geometry — chiefly the ratio of building height to street width — governs airflow, radiation, temperature, and pollutant dispersion within it. The single most important descriptor is the aspect ratio H/W, which determines whether wind skims over the top, recirculates inside, or interacts between adjacent canyons. The framework was set out by Timothy Oke's 1988 paper on street design and the urban canopy layer, which tied canyon geometry to the microclimate of the air below roof level.	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.