Five decades of neighborhood classifications and their transitions: A comparison of four US cities, 1970–2010

Delmelle, Elizabeth C.

doi:10.1016/j.apgeog.2014.12.002

Cited by 93 publications

(102 citation statements)

References 33 publications

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“…The two different structural processes are overall income growth or decline ('growth/decline' effect) that can translate into the growth or decline of the average income of neighbourhoods (Andersson and Hedman 2016;Galster et al 2003;Zwiers, Bolt, et al 2016), and changes in the inequality among individuals ('inequality' effect) that can translate into changing inequality among neighbourhoods. Most studies on neighbourhood change have measured neighbourhood change based on their status relative to other neighbourhoods in the respective urban area (Choldin et al 1980;Choldin and Hanson 1982;Delmelle 2015;Fogarty 1977;Gould Ellen and O'Regan 2008;Landis 2016;Logan and Schneider 1981;Owens 2012;Rosenthal 2008;Rosenthal and Ross 2015). Relative measures neutralize the growth/decline effect, such that the actual extent of change in neighbourhoods' conditions is overlooked.…”

Section: Discussionmentioning

confidence: 99%

“…Measures that are based on computing the ratio of neighbourhood average income to the average for all neighbourhoods in the respective metropolitan area (e.g. Fogarty 1977;Gould Ellen and O'Regan 2008;Logan and Schneider 1981;Rosenthal 2008;Rosenthal and Ross 2015), and to a lesser extent also those that are based on standardized scores (Delmelle 2015(Delmelle , 2017 do in fact capture the 'inequality' effect and therefore confound it with the 'exchange' effect. This can lead to the inconsistency of research designs with theoretical models, because the effect of changing inequality on neighbourhoods is incorporated in the total observed change which is attributed to urban-level processes.…”

Section: Current Measures Of Neighbourhood Change and Their Limitatiomentioning

confidence: 99%

“…Many studies measured neighbourhood change based on the status of neighbourhoods relative to their respective metropolitan area (Choldin and Hanson 1982;Delmelle 2015;Fogarty 1977;Gould Ellen and O'Regan 2008;Landis 2016;Logan and Schneider 1981;Owens 2012;Rosenthal 2008;Rosenthal and Ross 2015;Teernstra 2014). These measures eliminate the effect of metropolitan income growth or decline.…”

Section: Current Measures Of Neighbourhood Change and Their Limitatiomentioning

confidence: 99%

“…The commonly used measures (Choldin and Hanson 1982;Delmelle 2015;Fogarty 1977;Gould Ellen and O'Regan 2008;Landis 2016;Logan and Schneider 1981;Owens 2012;Rosenthal 2008;Rosenthal and Ross 2015) leave out the overall change in incomes throughout the urban areas. They do, nevertheless, capture the effect of increasing inequality among neighbourhoods, but then confound it with the 'exchange' effect related to urban processes.…”

Section: Introductionmentioning

confidence: 99%

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Structural and Exchange Components in Processes of Neighbourhood Change: A Social Mobility Approach

Modai-Snir

Ham

2018

Appl. Spatial Analysis

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Neighbourhood socioeconomic change is a complex phenomenon which is driven by multiple processes. Most research has focused on the role of urbanlevel processes, which lead to an exchange of relative positions among neighbourhoods of a single metropolitan area. Consequently, the effects of structural processes on neighbourhood socioeconomic change, such as overall income growth or decline, and increasing inequality, have been neglected. This is reflected in the standard methodological practices; the common measures of neighbourhood change exclude the effect of overall growth or decline and confound the effects of urban processes with the effect of increase in inequality. This paper proposes a method that was originally developed for understanding income mobility of individuals, to decompose total neighbourhood socioeconomic change measured in absolute terms into its contributing components. The approach enables to take account of all processes that generate neighbourhood socioeconomic change, while distinguishing between them. The method is demonstrated in an empirical analysis of neighbourhood socioeconomic change across 22 metropolitan areas in the US. The findings indicate that structural processes can be most substantial in generating change. Neighbourhood socioeconomic change in 'superstar cities' is mostly generated by the growth in overall incomes, with a relatively low contribution of increasing inequality. Conversely, in declining cities it is mostly driven by overall decline and increasing inequality. An additional finding relates to the interaction between urban processes and increasing inequality. These processes work in opposite directions such that any increase in positions of low-income neighbourhoods can be totally offset by an income decrease due to increasing inequality.Appl. Spatial Analysis

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Section: Discussionmentioning

confidence: 99%

Section: Current Measures Of Neighbourhood Change and Their Limitatiomentioning

confidence: 99%

Section: Current Measures Of Neighbourhood Change and Their Limitatiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Structural and Exchange Components in Processes of Neighbourhood Change: A Social Mobility Approach

Modai-Snir

Ham

2018

Appl. Spatial Analysis

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“…The consequential great differences in resident income have led to social class differentiation and formation of a spatial differentiation phenomenon (Iceland et al, 2005;Schnell et al, 2015). Urban residential space is an important embodiment of urban physical space, social space, and economic progress (Wu et al, 2014;Delmelle, 2015), within which the differentiation phenomenon is increasingly obvious.…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal differentiation of residential land for coastal town: A case study of Dalian Jinshitan

et al. 2016

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Based on SPOT5 satellite remote sensing images and land use data in five time phases covering the period 1988-2012, the distribution characteristics, spatial differentiation processes, and driving mechanisms affecting the residential land of the Jinshitan Tourist Resort were studied. The work included a combination of GIS technology, adoption of the differentiation index D, and the multi-group differentiation-measure model D (m). The results provided a basis for the following conclusions: 1) From 1988 to 2012, the degree of differentiation of the rural residential land first decreased, and then increased. The general residential, commercial residential and garden-house land-types all showed declining trends, of which the garden-house type presented the most intense volatility. 2) The overall background of the traditional residential land type was gradually replaced by a new residential land type, and the total area of residential land increased year by year, significantly improving the overall residential conditions. The areas of the new residential land type showed growth, and were increasingly widely distributed in the coastal tourist resorts, transportation corridors, and scenic areas. 3) Government policy, social differentiation, market mechanisms, and individual choices (along with other factors) were mutually promoted, although still restrained. However, all of these factors interacted to constrain the developmental direction and the processes affecting tourism real estate in the Dalian Jinshitan Tourist Resort.

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Socio‐spatial Segregation in Cities

Goix

2022

Cities at the Heart of Inequalities

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Five decades of neighborhood classifications and their transitions: A comparison of four US cities, 1970–2010

Cited by 93 publications

References 33 publications

Structural and Exchange Components in Processes of Neighbourhood Change: A Social Mobility Approach

Structural and Exchange Components in Processes of Neighbourhood Change: A Social Mobility Approach

Spatio-temporal differentiation of residential land for coastal town: A case study of Dalian Jinshitan

Socio‐spatial Segregation in Cities

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