東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Change Is Hard: Understanding Neighb...

Endsley, Kevin Arthur.

FindBook

Google Book

Amazon

博客來

Change Is Hard: Understanding Neighborhood Context and Socio-ecological Change with Time-series Remote Sensing.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Change Is Hard: Understanding Neighborhood Context and Socio-ecological Change with Time-series Remote Sensing./
作者:	Endsley, Kevin Arthur.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	188 p.
附註:	Source: Dissertations Abstracts International, Volume: 81-08, Section: B.
Contained By:	Dissertations Abstracts International81-08B.
標題:	Geography. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27614546
ISBN:	9781392747377

Change Is Hard: Understanding Neighborhood Context and Socio-ecological Change with Time-series Remote Sensing.
Endsley, Kevin Arthur.

Change Is Hard: Understanding Neighborhood Context and Socio-ecological Change with Time-series Remote Sensing. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 188 p.

Source: Dissertations Abstracts International, Volume: 81-08, Section: B.

Thesis (Ph.D.)--University of Michigan, 2019.

This item must not be sold to any third party vendors.

Quality of life in urban areas is strongly linked to land use and land cover, in part because green vegetation mitigates much of the negative consequences of urbanization and population pressures. However, the green vegetation of urban parks, forests, street trees, and landscaping is inequitably distributed in the urban environment. The social and economic processes that give rise to these uneven outcomes are not well-understood, while the rise in the availability of spatially explicit, fine-scale data on neighborhood conditions has created the conditions for an empirically rich investigation into neighborhood socio-ecological change. This dissertation assimilates new observations from different sources with new modes of inquiry to address persistent knowledge gaps: the dependence of socio-ecological relationships on scale and urban or metropolitan context; understanding the duration and significance of neighborhood improvement or decline; and the outstanding need for comparative analyses and novel analytical techniques for comparing neighborhood change between multiple metropolitan areas. Time-series satellite remote sensing of 30 years of vegetation cover is combined with population and housing market data to provide a comprehensive picture of the neighborhood environmental quality, demographic composition, and housing stock conditions. Three different metropolitan areas, Detroit, Los Angeles, and Seattle, are used to elucidate how our common assumptions of socio-ecological relations---and the underlying analytical approaches in which remote sensing plays a pivotal role---often fail to accurately capture the complexities and contradistinctions in the social and economic drivers of neighborhood-level biophysical changes. Results indicate that while population decline confounds conventional explanations for socio-economic differences in environmental quality, neighborhood advantages and disadvantages persist for multiple decades, with wealthier neighborhoods tending to resist cyclical declines in the housing market and accrue yet higher home values while preserving and increasing vegetated cover through irrigation and likely several policy tools. Historical conditions, particularly racial residential segregation, also yield surprising outcomes today, in some places reducing vegetation disparities and exacerbating them in others, depending on metropolitan-level population pressures and the balance of municipal political economies.

ISBN: 9781392747377Subjects--Topical Terms:

524010
Geography.
Subjects--Index Terms:

Neighborhood change

Change Is Hard: Understanding Neighborhood Context and Socio-ecological Change with Time-series Remote Sensing.
LDR:03803nmm a2200409 4500 001 2276262
005 20210503061353.5
008 220723s2019 ||||||||||||||||| ||eng d
020 $a 9781392747377
035 $a (MiAaPQ)AAI27614546
035 $a (MiAaPQ)umichrackham002403
035 $a AAI27614546
040 $a MiAaPQ $c MiAaPQ
100 1 $a Endsley, Kevin Arthur. $3 3554533
245 1 0 $a Change Is Hard: Understanding Neighborhood Context and Socio-ecological Change with Time-series Remote Sensing.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 188 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-08, Section: B.
500 $a Advisor: Brown, Dan;Newell, Josh.
502 $a Thesis (Ph.D.)--University of Michigan, 2019.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Quality of life in urban areas is strongly linked to land use and land cover, in part because green vegetation mitigates much of the negative consequences of urbanization and population pressures. However, the green vegetation of urban parks, forests, street trees, and landscaping is inequitably distributed in the urban environment. The social and economic processes that give rise to these uneven outcomes are not well-understood, while the rise in the availability of spatially explicit, fine-scale data on neighborhood conditions has created the conditions for an empirically rich investigation into neighborhood socio-ecological change. This dissertation assimilates new observations from different sources with new modes of inquiry to address persistent knowledge gaps: the dependence of socio-ecological relationships on scale and urban or metropolitan context; understanding the duration and significance of neighborhood improvement or decline; and the outstanding need for comparative analyses and novel analytical techniques for comparing neighborhood change between multiple metropolitan areas. Time-series satellite remote sensing of 30 years of vegetation cover is combined with population and housing market data to provide a comprehensive picture of the neighborhood environmental quality, demographic composition, and housing stock conditions. Three different metropolitan areas, Detroit, Los Angeles, and Seattle, are used to elucidate how our common assumptions of socio-ecological relations---and the underlying analytical approaches in which remote sensing plays a pivotal role---often fail to accurately capture the complexities and contradistinctions in the social and economic drivers of neighborhood-level biophysical changes. Results indicate that while population decline confounds conventional explanations for socio-economic differences in environmental quality, neighborhood advantages and disadvantages persist for multiple decades, with wealthier neighborhoods tending to resist cyclical declines in the housing market and accrue yet higher home values while preserving and increasing vegetated cover through irrigation and likely several policy tools. Historical conditions, particularly racial residential segregation, also yield surprising outcomes today, in some places reducing vegetation disparities and exacerbating them in others, depending on metropolitan-level population pressures and the balance of municipal political economies.
590 $a School code: 0127.
650 4 $a Geography. $3 524010
650 4 $a Urban forestry. $3 704817
650 4 $a Environmental economics. $3 535179
653 $a Neighborhood change
653 $a Vegetation
653 $a Cities
653 $a Urban
653 $a Urbanization
653 $a Land cover
690 $a 0366
690 $a 0281
690 $a 0438
710 2 $a University of Michigan. $b Natural Resources & Environment. $3 3433463
773 0 $t Dissertations Abstracts International $g 81-08B.
790 $a 0127
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27614546