• Publications
  • Influence
OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks
  • Geoff Boeing
  • Engineering, Computer Science
    Comput. Environ. Urban Syst.
  • 7 November 2016
TLDR
OSMnx is presented, a new tool to make the collection of data and creation and analysis of street networks simple, consistent, automatable and sound from the perspectives of graph theory, transportation, and urban design.
Visual Analysis of Nonlinear Dynamical Systems: Chaos, Fractals, Self-Similarity and the Limits of Prediction
TLDR
Pynamical, an open-source Python package to easily visualize and explore nonlinear dynamical systems’ behavior and introduce the foundations of nonlinear dynamics, chaos, fractals, self-similarity and the limits of prediction is presented.
Urban Spatial Order: Street Network Orientation, Configuration, and Entropy
  • Geoff Boeing
  • Computer Science, Mathematics
    Appl. Netw. Sci.
  • 1 August 2018
TLDR
This study examines street network orientation, configuration, and entropy in 100 cities around the world using OpenStreetMap data and OSMnx and develops a new indicator of grid-order that quantifies how a city's street network follows the ordering logic of a single orthogonal grid.
Measuring the Complexity of Urban Form and Design
TLDR
A typology of measures and indicators for assessing the physical complexity of the built environment at the scale of urban design is developed and extends quantitative measures from city planning, network science, ecosystems studies, fractal geometry, statistical physics, and information theory to the analysis of urban form and qualitative human experience.
A multi-scale analysis of 27,000 urban street networks: Every US city, town, urbanized area, and Zillow neighborhood
  • Geoff Boeing
  • Geography, Computer Science
    Environment and Planning B: Urban Analytics and…
  • 29 March 2017
TLDR
This study illustrates the use of OSMnx and OpenStreetMap to consistently conduct street network analysis with extremely large sample sizes, with clearly defined network definitions and extents for reproducibility, and using nonplanar, directed graphs.
OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks
  • Geoff Boeing
  • Computer Science
    J. Open Source Softw.
  • 24 April 2017
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 automatically to
New Insights into Rental Housing Markets across the United States: Web Scraping and Analyzing Craigslist Rental Listings
Current sources of data on rental housing—such as the census or commercial databases that focus on large apartment complexes—do not reflect recent market activity or the full scope of the US rental
LEED-ND and Livability Revisited
This study examines LEED-ND’s criteria for Neighborhood Pattern and Design (NPD). LEED-ND was developed as a system for rating new neighborhoods on the sustainability of their planning. However, it
The Morphology and Circuity of Walkable and Drivable Street Networks
TLDR
It is found that walking networks tend to allow for more direct routes than driving networks do in most cities: average driving circuity exceeds average walking circuity in all but four of the cities that exhibit statistically significant differences between network types.
Online rental housing market representation and the digital reproduction of urban inequality
  • Geoff Boeing
  • Business, Economics
    Environment and Planning A: Economy and Space
  • 13 July 2019
As the rental housing market moves online, the internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a
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