Predicting Gentrification: Paper Published
CAP | CAP Sep 17, 2018
Alessandro Rigolon (PhD '15) and Professor Jeremy Németh published a paper titled “Toward a socio-ecological model of gentrification: How people, place, and policy shape neighborhood change" in the Journal of Urban Affairs. Listen to Professor Nemeth’s discussion of how gentrification is changing Colorado with CPR’s Ryan Warner on Colorado Matters.
Paper Abstract:
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.
Paper Abstract:
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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