2019
DOI: 10.1080/24694452.2019.1667218
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How Entrenched Is the Spatial Structure of Inequality in Cities? Evidence from the Integration of Census and Housing Data for Denver from 1940 to 2016

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Cited by 30 publications
(24 citation statements)
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“…The most favorable combination of local circumstances is obviously better local labor market conditions and inclusive access to quality schooling in early life. As with other recent analyses of spatial inequality (20,40), our findings of persistence are particularly revealing in this respect: Much of the South, which compares unfavorably in terms of schooling and other social contextual influences, has resisted major improvements in upward mobility despite considerable growth in employment and economic output; in relative terms, the Northeast and the West compare favorably along both dimensions.…”
Section: Discussionsupporting
confidence: 85%
“…The most favorable combination of local circumstances is obviously better local labor market conditions and inclusive access to quality schooling in early life. As with other recent analyses of spatial inequality (20,40), our findings of persistence are particularly revealing in this respect: Much of the South, which compares unfavorably in terms of schooling and other social contextual influences, has resisted major improvements in upward mobility despite considerable growth in employment and economic output; in relative terms, the Northeast and the West compare favorably along both dimensions.…”
Section: Discussionsupporting
confidence: 85%
“…On the surface, the patterns of mobility and visits of Twitter users remain relatively stable over the five-plus years of the study period. This echoes findings elsewhere in the literature that neighborhoods mostly stay the same over time rather than experiencing drastic change (Solari 2012;Cortright and Mahmoudi 2014;Delmelle 2017;Malone and Redfearn 2018;Connor et al 2020;Kinahan, forthcoming). In this case, however, our analysis shows that this stability in neighborhood character not only applies to the internal characteristics of neighborhoods, but also how neighborhoods connect to each other relationally.…”
Section: Figure 3: Connections Between Users' Home Location and Visits To Other Census Tracts Lines Represent Visits; The Shading In The supporting
confidence: 87%
“…5g). Historical developments such as these, which have been and will be the focus of ongoing research efforts 31,49 , undergird many of the broader patterns we observe here. While we do not attempt to grapple with these issues in this study, the approaches we articulate provide vast opportunities for enhanced understanding of the complex social, political and economic interactions that have brought about widespread historical spatial change.…”
Section: Discussionmentioning
confidence: 63%
“…Moreover, our analytical framework and the underlying data provide valuable insight for city and regional planners, allowing for the identification and forecasting of fine and coarse development trajectories. Knowledge of these trajectories may be particularly valuable in tackling issues related to environmental change, transportation and inequality 49 . We demonstrate how innovative data derivatives can be used to quantitatively assess different urban characteristics and their changes at fine spatial and temporal granularity.…”
Section: Discussionmentioning
confidence: 99%