A Spatiotemporal Analysis of Inter-County Migration Patterns in the United States

Ambinakudige, Shrinidhi; Parisi, Domenico

doi:10.1007/s12061-015-9171-1

Cited by 22 publications

(18 citation statements)

References 47 publications

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“…Comparing the state-level slopes of spatial and temporal TL among US regions shows that the South has the highest median slope (Fig 4). These observations reflect the similarity of regional characteristics in economic development and migration between the US and Italy [46–48]. They also indicate the usefulness of spatial TL in reflecting economic and demographic patterns.…”

Section: Discussionsupporting

confidence: 63%

Analyzing and interpreting spatial and temporal variability of the United States county population distributions using Taylor's law

Meng

Cohen

2019

PLoS ONE

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We study the spatial and temporal variation of the human population in the United States (US) counties from 1790 to 2010, using an ecological scaling pattern called Taylor's law (TL). TL states that the variance of population abundance is a power function of the mean population abundance. Despite extensive studies of TL for non-human populations, testing and interpreting TL using data on human populations are rare. Here we examine three types of TL that quantify the spatial and temporal variation of US county population abundance. Our results show that TL and its quadratic extension describe the mean-variance relationship of county population distribution well. The slope and statistics of TL reveal economic and demographic trends of the county populations. We propose TL as a useful statistical tool for analyzing human population variability. We suggest new ways of using TL to select and make population projections.

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Section: Discussionsupporting

confidence: 63%

Analyzing and interpreting spatial and temporal variability of the United States county population distributions using Taylor's law

Meng

Cohen

2019

PLoS ONE

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“…Suburbanization of an urban area could generate migration between the city and its suburb. People's migration decisions can be associated with migrant age, stage of life, economic condition, employment situation, race, sex, education, distance to the destination, and other variables [3]. There is a strong difference between the peri-urban areas of developing countries characterized by pollution of land and waterways, poverty, and informal settlement and those of developed nations of Europe characterized by low levels of mobility, economic performance, landscape integrity, and environmental quality.…”

Section: Participatory Planning: An Overviewmentioning

confidence: 99%

Integrated Approach towards Participatory Development of Urban Neighborhood Spaces: Chennai, India

Mohamed¹

2020

Sustainability in Urban Planning and Design

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The social living of the urban households depends on the physical manifestation of spaces arranged to carry out their day-to-day activities of members including children, adult, women, men, old age, and differently able persons. Urban neighborhoods undergo changes in the spaces in house and building, places in a locality, and the overall built form. The city spaces experience transformation in the house spaces and common places, and the built form experienced the residential character change towards commercial and other nonresidential uses in the neighborhood. The impact of the spatial transformation demands to make redevelopment strategies to resolve the conflict between residential and commercial spaces in the neighborhood. So, the need for an integrated approach towards “Participatory Redevelopment” (PRD) of the urban neighborhood becomes a challenge for the city planners. The new planning model on PRD as an integrated approach developed by the author is followed in the redevelopment project hosted by the Corporation of Chennai. The PRD approach used “C-TC-C” model to follow participation as “Collective-Target Centered-Collective”. The PRD adopts the approach called the five-pillar system (FPS). These aspects are the main focus of this chapter within the context of T. Nagar, a residential neighborhood transforming into a busy retail commercial market area and residential living and parking spaces situated in the midst of Chennai City, the capital of the Tamil Nadu State in India.

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“…Demographic research shows that population change is not uniform across the United States and that migration has effectively redistributed the nation’s population from rural to urban areas (Ambinakudige and Parisi 2017). Generally, and throughout most history, urban areas gain and rural areas lose populations.…”

Section: Population Resiliency Across the Rural–urban Continuummentioning

confidence: 99%

Differential Recovery Migration across the Rural–Urban Gradient: Minimal and Short‐Term Population Gains for Rural Disaster‐Affected Gulf Coast Counties

Curtis

DeWaard

Fussell³

et al. 2019

Rural Sociology

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Places affected or threatened by extreme environmental disturbances confront a number of significant issues, including whether their populations will stay the same or change through migration. Research on Hurricanes Katrina and Rita shows some displaced residents returned to their disaster‐affected communities once the built environment was restored, new migrants settled in affected places as part of the rebuilding effort, and the regional migration system grew more urbanized and spatially concentrated during post‐disaster years. Research also shows that not all disaster‐affected places recovered their populations. Our study examines whether differential recovery is systematically patterned along the rural–urban gradient. Using U.S. Census Bureau estimates and IRS county‐to‐county migration data, we investigate whether the 2005 hurricane season differentially exacerbated or altered previous migration trends across a rural–urban gradient that incorporates proximity to metropolitan areas and disaster‐related housing loss. We find a rural–urban differential in Gulf Coast recovery migration: The disaster boosted migration among non‐metropolitan counties, yet these increases were smaller and short‐lived compared to the patterns found for metropolitan counties, most especially high loss metropolitan counties. Our findings encourage theories of environmental migration to incorporate spatial differentiation and scenarios of environmental changes to account for differential impacts on settlement patterns across the rural–urban continuum.

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A Spatiotemporal Analysis of Inter-County Migration Patterns in the United States

Cited by 22 publications

References 47 publications

Analyzing and interpreting spatial and temporal variability of the United States county population distributions using Taylor's law

Analyzing and interpreting spatial and temporal variability of the United States county population distributions using Taylor's law

Integrated Approach towards Participatory Development of Urban Neighborhood Spaces: Chennai, India

Differential Recovery Migration across the Rural–Urban Gradient: Minimal and Short‐Term Population Gains for Rural Disaster‐Affected Gulf Coast Counties

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