2006
DOI: 10.2747/0272-3638.27.2.101
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Finding the Gentrification Frontier Using Census Data: The Case of Portland, Maine

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Cited by 31 publications
(37 citation statements)
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“…For an area considered gentrifiable to gentrify, its social status (measured through income, education and percentage of residents in professional occupations) (Filion, 1991;Freeman, 2005;Heidkamp and Lucas, 2006;Ley, 1986) needs to increase faster than that of the city. At the same time, rents and house values should be observed to increase faster than the city as a whole (Hammel and Wyly, 1996;Kahn, 2007;Lin, 2002).…”
Section: Defining Gentrificationmentioning
confidence: 99%
“…For an area considered gentrifiable to gentrify, its social status (measured through income, education and percentage of residents in professional occupations) (Filion, 1991;Freeman, 2005;Heidkamp and Lucas, 2006;Ley, 1986) needs to increase faster than that of the city. At the same time, rents and house values should be observed to increase faster than the city as a whole (Hammel and Wyly, 1996;Kahn, 2007;Lin, 2002).…”
Section: Defining Gentrificationmentioning
confidence: 99%
“…The resulting timing and patterning of gentrification was then field tested and confirmed by those with expertise in each of the three metropolitan areas. Our methodology thus builds from the contributions provided by Hammel and Wyly (1996), Wyly and Hammel (1998), Meligrana and Skaburskis (2005), and Heidkamp and Lucas (2006) for detecting gentrification. The different trajectories of neighborhood gentrification and upgrading are presented in Table 1.…”
Section: Measuring Gentrification In Canada's Largest Citiesmentioning
confidence: 99%
“…To measure neighborhood ascent, I draw on past research that used discriminant analysis to identify characteristics distinguishing gentrified areas from other types of areas (Schuler, Kent, and Monroe ; Hammel and Wyly ; Wyly and Hammel , ; Heidkamp and Lucas ). Discriminant analysis evaluates observations classified a priori into categories and identifies variables that best distinguish between the categories.…”
Section: Data and Analysesmentioning
confidence: 99%