Tag: networks

Off the Grid… and Back Again?

Post author By gboeing
Post date 2020-11-01
7 Comments on Off the Grid… and Back Again?

My article “Off the Grid… and Back Again? The Recent Evolution of American Street Network Planning and Design” has been published by the Journal of the American Planning Association and won the 2020 Stough-Johansson Springer Award for best paper. It identifies recent nationwide trends in American street network design, measuring how urban planners abandoned the grid and embraced sprawl over the 20th century, but since 2000 these trends have rebounded, shifting back toward historical design patterns. In this post I discuss these findings and visualizations across the US today as well as over time, then discuss my analysis methods.

Academia

Geospatial Tool Building

My new article “The Right Tools for the Job: The Case for Spatial Science Tool-Building” has been published in Transactions in GIS (free PDF). I originally presented this paper as the 8th annual Transactions in GIS plenary address at the AAG annual meeting last year. I argue that tool-building is an essential but poorly incentivized component of academic geography and social science more broadly. To conduct better science, we need to build better tools. Better tools and data models, spearheaded by academics, can help infuse theory into our field’s quantitative work where it is too often lacking. But if we want better tools, we have to build them. It is not ESRI’s job to satisfy all the theoretical needs of the spatial sciences.

Data

OSMnx Summer Wrap-Up

OSMnx underwent a major overhaul this summer, with the development of several new features, improvements, and optimizations. This project concluded yesterday with the release of v0.16.0.

This post briefly summarizes what’s changed since the previous mid-summer updates. It covers the new k shortest paths solver, auto-selecting the first polygon when geocoding, better conversion of graph types, and the new geometries module that lets you flexibly download any OSM geospatial objects as a geopandas GeoDataFrame.

Data

What’s New With OSMnx, Part 2

Post author By gboeing
Post date 2020-07-08
No Comments on What’s New With OSMnx, Part 2

This is a follow-up to last month’s post discussing the many new features, improvements, and optimizations made to OSMnx this summer. As this major improvement project now draws to a close, I will summarize what’s new(er) here. Long story short: there are a bunch of new features and everything in the package has been streamlined and optimized to be easier to use, faster, and more memory efficient.

First off, if you haven’t already, read the previous post about new features including topological intersection consolidation, automatic max speed imputation and travel time calculation, generalized points-of-interest queries, querying OSM by date, and API streamlining. This post covers new changes since then, including improved visualization and plotting, improved graph simplification, the new geocoder module, and other miscellaneous improvements.

Data

What’s New with OSMnx, Part 1

Post author By gboeing
Post date 2020-06-02
11 Comments on What’s New with OSMnx, Part 1

There have been some major changes to OSMnx in the past couple months. I’ll review them briefly here, demonstrate some usage examples, then reflect on a couple upcoming improvements on the horizon. First, what’s new:

new consolidate_intersections function with topological option
new speed module to impute missing street speeds and calculate travel times for all edges
generalized POIs module to query with a flexible tags dict
you can now query OSM by date
you can now save graph as a geopackage file
clean up and streamline the OSMnx API

Tags data, data science, geospatial, gis, maps, modeling, networks, osmnx, planning, python, science, spatial analysis, street-network, transportation, tutorial, urban, urban design, urban planning, visualization

Data

New Article on Computational Notebooks

Post author By gboeing
Post date 2020-05-08
No Comments on New Article on Computational Notebooks

I have a new article out in Region: Journal of the European Regional Science Association, “Urban Street Network Analysis in a Computational Notebook.” It reflects on the use of Jupyter notebooks in applied data science research, pedagogy, and practice, and it uses the OSMnx examples repository as an example.

From the abstract:

Computational notebooks offer researchers, practitioners, students, and educators the ability to interactively conduct analytics and disseminate reproducible workflows that weave together code, visuals, and narratives. This article explores the potential of computational notebooks in urban analytics and planning, demonstrating their utility through a case study of OSMnx and its tutorials repository. OSMnx is a Python package for working with OpenStreetMap data and modeling, analyzing, and visualizing street networks anywhere in the world. Its official demos and tutorials are distributed as open-source Jupyter notebooks on GitHub. This article showcases this resource by documenting the repository and demonstrating OSMnx interactively through a synoptic tutorial adapted from the repository. It illustrates how to download urban data and model street networks for various study sites, compute network indicators, visualize street centrality, calculate routes, and work with other spatial data such as building footprints and points of interest. Computational notebooks help introduce methods to new users and help researchers reach broader audiences interested in learning from, adapting, and remixing their work. Due to their utility and versatility, the ongoing adoption of computational notebooks in urban planning, analytics, and related geocomputation disciplines should continue into the future.

For more, check out the article.

Planning

Off the Grid at TRB

I am presenting my ongoing research into the recent evolution of American street network planning and design at the annual meeting of the Transportation Research Board in Washington DC on January 13. This presentation asks the question: how has street network design changed over time, especially in recent years? I analyze the street networks of every US census tract and estimate each’s vintage.

Street network designs grew more disconnected, coarse-grained, and circuitous over the 20th century… but the 21st century has witnessed a promising rebound back toward more traditional, dense, and interconnected grids. Higher griddedness is associated with less car ownership, even when controlling for related socioeconomic, topographical, and other urban factors.

Update: the paper has been published in JAPA.

Urban

Big Data in Urban Morphology

Post author By gboeing
Post date 2019-11-04
1 Comment on Big Data in Urban Morphology

My new article “Spatial Information and the Legibility of Urban Form: Big Data in Urban Morphology” has been published in the International Journal of Information Management (download free PDF). It builds on recent work by Crooks et al, presenting workflows to integrate data-driven and narrative approaches to urban morphology in today’s era of ubiquitous urban big data. It situates this theoretically in the visual culture of planning to present a visualization-mediated interpretative process of data-driven urban morphology, focusing on transportation infrastructure via OSMnx.

Urban

Urban Street Network Orientation

Post author By gboeing
Post date 2019-09-09
27 Comments on Urban Street Network Orientation

My new article, Urban Spatial Order: Street Network Orientation, Configuration, and Entropy, has just been published in one of my favorite journals: Applied Network Science (download free PDF). This study explores the spatial signatures of urban evolution and central planning. It examines street network orientation, connectivity, granularity, and entropy in 100 cities around the world using OpenStreetMap data and OSMnx for modeling and visualization:

So, who’s got a grid and who doesn’t? Each of the cities above is represented by a polar histogram (aka rose diagram) depicting how its streets orient. Each bar’s direction represents the compass bearings of the streets (in that histogram bin) and its length represents the relative frequency of streets with those bearings. The cities above are in alphabetical order. Here they are again, re-sorted from most-ordered/gridded city (Chicago) to most-disordered (Charlotte):

Tags academia, amsterdam, athens, atlanta, baghdad, baltimore, bangkok, barcelona, beijing, beirut, berlin, bogota, boston, budapest, buenos aires, cairo, cape town, caracas, casablanca, charlotte, chicago, city, cleveland, clustering, complex systems, complexity, connectivity, copenhagen, dallas, damascus, data, data science, dc, denver, design, detroit, dubai, dublin, entropy, geopandas, geospatial, gis, glasgow, hanoi, havana, helsinki, history, hong kong, honolulu, houston, istanbul, jakarta, jerusalem, johannesburg, journal article, kabul, karachi, kathmandu, kiev, kyoto, lagos, land use, las vegas, lima, lisbon, london, los angeles, madrid, manhattan, manila, maps, math, matplotlib, melbourne, mexico city, miami, minneapolis, modeling, mogadishu, montreal, moscow, mumbai, munich, nairobi, networks, new delhi, new orleans, new york, orientation, orlando, osaka, oslo, osmnx, paris, philadelphia, phnom penh, phoenix, pittsburgh, planning, polar histogram, port au prince, portland, prague, pyongyang, python, reykjavik, rio de janeiro, rome, san francisco, sao paulo, sarajevo, science, scikit-learn, seattle, seoul, shanghai, singapore, spatial analysis, spatial networks, st louis, stockholm, street-network, sydney, taipei, tehran, tokyo, toronto, ulaanbaatar, urban, urban design, urban planning, vancouver, venice, vienna, visualization, warsaw, washington

Data

New Article in Frontiers in Neurology

Post author By gboeing
Post date 2019-07-31
No Comments on New Article in Frontiers in Neurology

I recently teamed up with an international group of public health researchers and spatial analysts to co-author an article, An Introduction to Software Tools, Data, and Services for Geospatial Analysis of Stroke Services, that has been accepted for publication at Frontiers in Neurology (download free PDF).

Tags city, clustering, data, data science, geospatial, gis, land use, maps, modeling, neighborhood, networks, osmnx, python, science, spatial analysis, street-network, tutorial, urban, urban planning, visualization