Exploring Urban Form Through Openstreetmap Data: A Visual Introduction
In: Urban Experience and Design: Contemporary Perspectives on Improving the Public Realm (pp. 167-184), edited by J. Hollander and A. Sussman. Abingdon, England: Routledge. ISBN 9780367435554.
19 Pages Posted: 15 Oct 2020
Date Written: August 25, 2020
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.
Keywords: Cartography, Complexity, Data Science, GIS, Network Analysis, Network Science, Nolli Map, OpenStreetMap, Orientation, OSMnx, Polar Histogram, Python, Rose Diagram, Smart Cities, Spatial Analysis, Spatial Networks, Street Network, Transportation, Urban Design, Urban Form, Psychology,Urban Environment
JEL Classification: N90, 018, 021, R42, L92
Suggested Citation: Suggested Citation