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Change in visible impervious surface area in southeastern Michigan before and after the 'Great Recession:'' spatial differentiation in remotely sensed land-cover dynamics

机译:密歇根州东南部“大萧条”前后可见的不透水表面积的变化:遥感土地覆盖动态的空间分异

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Rates of urban growth and change are spatially differentiated within any given region and are often associated with the social and economic characteristics of communities as well as with preexisting patterns of development. We examined how those patterns of association were affected by the "Great Recession'' in southeastern Michigan, a region with a low overall growth prior to the recession but with a high degree of internal heterogeneity and social segregation. We used an innovative application of available Landsat imagery and spatial autoregressive methods to relate the rates of change in visible impervious surface area (VISA) before (i.e., 2001-2005) and after (i.e., 2006-2011) the Great Recession to four factors that characterize tract-level variability in socioeconomic characteristics based on the Census data. Then, using a difference-in-differences approach, we modeled relationships between changes in these rates to examine the effects of the Great Recession on spatial differentiation in the rates of land-cover change. In both periods, VISA increased at higher rates in wealthier and less-deprived communities. Comparing the differences in rates of land-cover change from before to after the recession, we found that the rate of VISA increase declined most rapidly in wealthier and less-deprived communities. Therefore, the patterns of land-cover change indicate that the recession served to reduce observed differences in the rates of change across communities with different socioeconomic compositions. These observed patterns are consistent with both reduced private-sector investment in new residential development and increased public-sector investment in infrastructure.
机译:在任何给定区域内,城市增长和变化的速度在空间上都是不同的,并且通常与社区的社会和经济特征以及先前存在的发展模式有关。我们研究了密歇根州东南部的这种关联模式是如何受到“大衰退”影响的,密歇根州东南部在衰退之前总体增长较低,但内部异质性和社会隔离程度很高,我们使用了创新的Landsat影像和空间自回归方法将大衰退之前(即2001-2005年)和之后(即2006-2011年)的可见不透水表面积(VISA)的变化率与表征河道水平变化的四个因素相关联基于人口普查数据的社会经济特征,然后,使用差异差异方法,对这些变化率之间的关系进行建模,以检验大衰退对土地覆盖变化率中空间分异的影响。 ,在较富裕和贫困程度较低的社区,VISA的增长率较高。比较衰退前和衰退后土地覆被变化率的差异,我们发现,在较富裕和贫困程度较低的社区中,VISA的增长率下降最快。因此,土地覆盖变化的模式表明,衰退有助于减少社会经济构成各异的社区的变化率差异。这些观察到的模式与减少私人部门对新住宅开发的投资和增加公共部门对基础设施的投资相一致。

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