Comparing spatial metrics that quantify urban form

doi:10.1016/j.compenvurbsys.2013.11.005

Comparing spatial metrics that quantify urban form

2014-03-01

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DOI：10.1016/j.compenvurbsys.2013.11.005

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Measuring and characterizing urban form is an important task for planners and policy analysts. This paper compares eighteen metrics of urban form for 542 neighborhoods in Salt Lake County, Utah. The comparison was made in the context of characterizing three neighborhood types from different time periods: pre-suburban (1891-1944), suburban (1945-1990), and late-suburban (1990-2007). We used correlation analysis, within and across time periods, to assess each metric's ability to uniquely characterize urban form; and we used linear regression to assess the ability to distinguish neighborhood type. Three of the metrics show redundancy and two did not capture differences in urban form for the case study. Based on our findings, we recommend thirteen of the eighteen metrics for planners and policy analysts who want to quantify urban form using spatial data that are commonly available. Furthermore, our case study shows that despite policy efforts to encourage smart growth, urban neighborhoods in Salt Lake County continue to exhibit characteristics of sprawl. These findings suggest the effectiveness of smart growth policies in Salt Lake County have had limited effect. (C) 2013 Elsevier Ltd. All rights reserved.

Keywords:

Urban form

Urban growth policy

Density

Street pattern

Accessibility

Urban sprawl

Comparing spatial metrics that quantify urban form

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