Exploring Urban Form Through Openstreetmap Data: A Visual Introduction

TL;DR

This paper demonstrates how OpenStreetMap data and the OSMnx toolkit can be used to analyze and visualize urban form patterns globally, providing insights into the built environment through computational methods.

Contribution

It introduces a visual approach to urban analysis using OSMnx, showcasing how open-source geospatial data can reveal urban patterns and complexity.

Findings

Visualization methods effectively depict street network patterns.

OpenStreetMap data enables global urban form analysis.

Computational tools facilitate understanding of urban complexity.

Abstract

This chapter introduces OpenStreetMap - a crowd-sourced, worldwide mapping project and geospatial data repository - to illustrate its usefulness in quickly and easily analyzing and visualizing planning and design outcomes in the built environment. It demonstrates the OSMnx toolkit for automatically downloading, modeling, analyzing, and visualizing spatial big data from OpenStreetMap. We explore patterns and configurations in street networks and buildings around the world computationally through visualization methods - including figure-ground diagrams and polar histograms - that help compress urban complexity into comprehensible artifacts that reflect the human experience of the built environment. Ubiquitous urban data and computation can open up new urban form analyses from both quantitative and qualitative perspectives.