Measuring Urban Sprawl Based on Massive Street Nodes and the Novel Concept of Natural Cities
(English)Manuscript (preprint) (Other academic)
In this paper, we develop a novel approach to measuring urban sprawl based on street nodes and naturallydefined urban boundaries, both extracted from massive volunteered geographic informationOpenStreetMap databases through some data-intensive computing processes. The street nodes are definedas street intersections and ends, while the naturally defined urban boundaries constitute what we callnatural cities. We find that the street nodes are significantly correlated with population of cities. Based onthis finding, we set street nodes as a proxy of population to measure urban sprawl. We further find thatstreet nodes bear a significant linear relationship with city areal extents. In the plot with the x axisrepresenting city areal extents, and the y axis street nodes, sprawling cities are located below the regressionline. We verified the approach using urban areas and population from the US census, and then applied theapproach to three European countries: France, Germany, and the United Kingdom for the categorization ofnatural cities into three classes: sprawling, compact, and normal. This categorization sets a uniformstandard for cross comparing sprawling levels across an entire country.
Street networks, openstreetmap, volunteered geographic information, GIS
IdentifiersURN: urn:nbn:se:kth:diva-101658OAI: oai:DiVA.org:kth-101658DiVA: diva2:548439
QC 201210052012-10-052012-08-302012-11-13Bibliographically approved