Diverse dynamics of urban sprawl: Examining changes in urban form, forest landscapes, and demographics across the Metropolitan Detroit region

Urban growth in cities across the United States and the world has continued to follow the low-density pattern often called urban sprawl. Prior research has rarely linked changes in urban form, forest landscapes, and racial diversity, instead often analyzing these phenomena in isolation. This paper explores the relationships among variables in these categories through a hierarchical cluster analysis of the 231 local jurisdictions in the Metropolitan Detroit region in Michigan, USA, drawing from spatially-detailed metrics derived from remote sensing data from 1985 to 2015 and demographic data from 1990 to 2010. The analysis revealed patterns of change among these variables by identifying 10 clusters. The clusters describe communities evolving in both more sprawling and more sustainable trajectories, empirically documenting important local variations in development patterns across the region.

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Publication Details

Journal
Environment and Planning B Urban Analytics and City Science
Published
2025-11-23
DOI
https://doi.org/10.1177/23998083251401679
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00
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article

Diverse dynamics of urban sprawl: Examining changes in urban form, forest landscapes, and demographics across the Metropolitan Detroit region

Tilahun Mulatu, Robert Goodspeed, Z. Tan, Kat Conedera
Environment and Planning B Urban Analytics and City Science
Land Use and Ecosystem Services
article

Diverse dynamics of urban sprawl: Examining changes in urban form, forest landscapes, and demographics across the Metropolitan Detroit region

Tilahun Mulatu, Robert Goodspeed, Z. Tan, Kat Conedera
article en

Abstract

Urban growth in cities across the United States and the world has continued to follow the low-density pattern often called urban sprawl. Prior research has rarely linked changes in urban form, forest landscapes, and racial diversity, instead often analyzing these phenomena in isolation. This paper explores the relationships among variables in these categories through a hierarchical cluster analysis of the 231 local jurisdictions in the Metropolitan Detroit region in Michigan, USA, drawing from spatially-detailed metrics derived from remote sensing data from 1985 to 2015 and demographic data from 1990 to 2010. The analysis revealed patterns of change among these variables by identifying 10 clusters. The clusters describe communities evolving in both more sprawling and more sustainable trajectories, empirically documenting important local variations in development patterns across the region.

Environment and Planning B Urban Analytics and City Science
University of Michigan (US), A. Alfred Taubman Health Care Center (US), Geospatial Research (United Kingdom) (GB)
Openalex Percentile: Top 66%
Land Use and Ecosystem Services
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