Urban Spatial Order: Street Network Orientation, Configuration, and Entropy

20 Pages Posted: 23 Aug 2018 Last revised: 10 Feb 2019

See all articles by Geoff Boeing

Geoff Boeing

Northeastern University - School of Public Policy and Urban Affairs; Northeastern University - Network Science Institute

Date Written: February 1, 2019


Street networks may be planned according to clear organizing principles or they may evolve organically through accretion, but their configurations and orientations help define a city's spatial logic and order. Measures of entropy can reveal a city's streets' order and disorder. Past studies have explored individual cases of orientation and entropy, but little is known about broader patterns and trends worldwide. This study examines street network orientation, configuration, and entropy in 100 cities around the world using OpenStreetMap data and OSMnx. It measures the entropy of street bearings in weighted and unweighted network models, along with each city's typical street segment length, average circuity, average node degree, and the network's proportions of four-way intersections and dead-ends. It also develops a new indicator of orientation-order that quantifies how a city's street network follows the geometric ordering logic of a single grid. It finds significant statistical relationships between a city's orientation entropy and other indicators of spatial order, including street circuity and measures of connectedness. These indicators, taken in concert, help reveal the extent and nuance of the grid. On average, the US/Canada study sites are far more grid-like than those elsewhere, exhibiting less entropy and circuity. These methods demonstrate automatic, scalable, reproducible tools to empirically measure and visualize city spatial order, illustrating complex urban transportation system patterns and configurations around the world.

Keywords: City Planning, Urban Form, Urban Design, Urban Morphology, OpenStreetMap, Python, Data Science, Gis, Geospatial, Spatial Analysis, Entropy, Orientation, Configuration, Network Analysis, Street Networks, Graph Theory, Transportation, Transportation Planning, Data Visualization

JEL Classification: R00, R40

Suggested Citation

Boeing, Geoff, Urban Spatial Order: Street Network Orientation, Configuration, and Entropy (February 1, 2019). Available at SSRN: https://ssrn.com/abstract=3224723 or http://dx.doi.org/10.2139/ssrn.3224723

Geoff Boeing (Contact Author)

Northeastern University - School of Public Policy and Urban Affairs ( email )

343 Holmes Hall
360 Huntington Avenue
Boston, MA 02115
United States

Northeastern University - Network Science Institute ( email )

177 Huntington Avenue
Boston, MA MA 02115
United States

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