Urban scholars have studied street networks in various ways, but there are data availability
and consistency limitations to the current urban planning/street network analysis literature …

OpenStreetMap offers a valuable source of worldwide geospatial data useful to urban
researchers. This study uses the OSMnx software to automatically download and analyze …

OSMnx is a Python package for downloading OpenStreetMap street network data and then
constructing it into NetworkX graphs. OSMnx can simplify and correct the network's topology …

Cities worldwide exhibit a variety of street network patterns and configurations that shape
human mobility, equity, health, and livelihoods. This study models and analyzes the street …

Models of street networks underlie research in urban travel behavior, accessibility, design
patterns, and morphology. These models are commonly defined as planar, meaning they …

The authors propose a topological analysis of large urban street networks based on a
computational and functional graph representation. This representation gives a functional …

Circuity, the ratio of network distances to straight-line distances, is an important measure of
urban street network structure and transportation efficiency. Circuity results from a circulation …

Over the last fifty years, research into street networks has gained prominence with a rapidly
growing number of studies across disparate disciplines. These studies investigate a wide …

The study of geographical systems as graphs, and networks has gained significant
momentum in the academic literature as these systems possess measurable and relevant …

Problem, research strategy, and findings In this morphological study I identify and measure
recent nationwide trends in American street network design. Historically, orthogonal street …