Smart growth characteristics and the spatial pattern of multifamily housing in US metropolitan areas

Andrew McMillan and Sugie Lee
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Andrew McMillan: The University of Illinois at Urbana-Champaign, USA
Sugie Lee: Hanyang University, Republic of Korea

Urban Studies, 2017, vol. 54, issue 15, 3500-3523

Abstract: This paper examines the relationship between smart growth policies and other social and physical characteristics and the supply of multifamily housing units in 202 core-based metropolitan statistical areas (CBSAs) in the USA. Data for this study were gathered from the GeoLytics Neighborhood Change Database for the 1980, 1990, 2000 and 2010 US Census. The smart growth characteristics of each CBSA are determined by a smart growth index and a catalogue of urban containment rankings, while other social and physical characteristics are obtained from the US Census. This allows us to examine potential differences in development patterns between CBSAs with varying levels of sprawl and growth containment policies. Two regression models are used to determine statistically significant relationships between multifamily development patterns and growth management policies, as well as other social and physical characteristics. The results indicate that high levels of sprawl are associated with relatively fewer multifamily units, especially in suburban areas. In addition, several population demographics that may potentially benefit from multifamily units, such as senior citizens, the population in poverty and smaller households, are less likely to live in areas with higher rates of multifamily units. These findings indicate that planners and policymakers should consider the needs of more diverse communities when planning for housing, especially in suburban areas, where housing diversity is constricted.

Keywords: housing; multifamily housing; smart growth; sprawl; urban containment; ä½ æˆ¿; å¤šæˆ·ä½ å®…; 精明增长; 蔓延; 城市控制 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:urbstu:v:54:y:2017:i:15:p:3500-3523

DOI: 10.1177/0042098016676008

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