TY - JOUR
T1 - Toward a socioecological model of gentrification
T2 - How people, place, and policy shape neighborhood change
AU - Rigolon, Alessandro
AU - Németh, Jeremy
N1 - Funding Information:
We thank former University of Colorado Denver graduate students Mehdi Heris and Camron Bridgford for helping us prepare the data sets for the empirical analysis and gather literature on gentrification and gentrification resistance.
Publisher Copyright:
© 2019, © 2019 Urban Affairs Association.
PY - 2019/10/3
Y1 - 2019/10/3
N2 - Researchers have determined many of the factors that make neighborhoods susceptible to gentrification, but we know less about why some gentrification-susceptible neighborhoods gentrify and others do not. Some studies claim that internal neighborhood features such as historic housing stock are the most powerful determinants of gentrification, whereas other studies argue that a lack of strong affordable housing policies is the primary driver of neighborhood change. In this article, we move beyond a focus on singular determinants to recognize the interplay between these variables. We develop a socioecological model of gentrification in which we characterize neighborhood change as shaped by nested layers we categorize as people (e.g., demographics), place (e.g., built environment), and policy (e.g., housing programs). We then test the model in the five largest urban regions in the United States to begin to determine which variables within the people, place, and policy layers best predict whether a neighborhood will gentrify.
AB - Researchers have determined many of the factors that make neighborhoods susceptible to gentrification, but we know less about why some gentrification-susceptible neighborhoods gentrify and others do not. Some studies claim that internal neighborhood features such as historic housing stock are the most powerful determinants of gentrification, whereas other studies argue that a lack of strong affordable housing policies is the primary driver of neighborhood change. In this article, we move beyond a focus on singular determinants to recognize the interplay between these variables. We develop a socioecological model of gentrification in which we characterize neighborhood change as shaped by nested layers we categorize as people (e.g., demographics), place (e.g., built environment), and policy (e.g., housing programs). We then test the model in the five largest urban regions in the United States to begin to determine which variables within the people, place, and policy layers best predict whether a neighborhood will gentrify.
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U2 - 10.1080/07352166.2018.1562846
DO - 10.1080/07352166.2018.1562846
M3 - Article
AN - SCOPUS:85060134079
SN - 0735-2166
VL - 41
SP - 887
EP - 909
JO - Journal of Urban Affairs
JF - Journal of Urban Affairs
IS - 7
ER -