What question did this study set out to answer?

Quantify and compare global patterns of urban street network orientation, configuration, and spatial entropy across diverse metropolitan areas.

August 23, 2019Applied Network ScienceOpen Access

Urban spatial order: street network orientation, configuration, and entropy

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Authors

GBGeoff BoeingUniversity of Southern California

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Implication

Computational network analysis reveals distinct orientation-order and entropy patterns across 100 global cities, indicating stark regional variations in grid adherence.

Key Points

Quantify and compare global patterns of urban street network orientation, configuration, and spatial entropy across diverse metropolitan areas.
Extracted street network data from 100 global cities using OpenStreetMap and the OSMnx spatial analysis package.
Calculated bearing entropy, street circuity, average node degree, segment length, and proportions of dead-ends and four-way intersections.
Formulated a novel orientation-order metric measuring grid adherence and performed multidimensional cluster analysis.
Statistically significant relationships were identified connecting city orientation-order to network circuity and connectivity metrics.
Street networks in the United States and Canada displayed substantially lower entropy and circuity than cities elsewhere, reflecting strong grid adherence.

Cite This Study

Geoff Boeing (2019) studied this question.

synapsesocial.com/papers/69f08605ad55e2660c8f2575 https://doi.org/10.1007/s41109-019-0189-1

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Implication

Computational network analysis reveals distinct orientation-order and entropy patterns across 100 global cities, indicating stark regional variations in grid adherence.

Urban spatial order: street network orientation, configuration, and entropy

Discussion

Member takes

Implication

Key Points

Cite This Study

Urban spatial order: street network orientation, configuration, and entropy

Discussion

Member takes

Implication

Key Points

Cite This Study

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