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

Exploring the role of community capa...

Kim, Hyun.

FindBook

Google Book

Amazon

博客來

Exploring the role of community capacity and planning effort in disaster risk reduction and environmental sustainability: Spatio-temporal vulnerability and resiliency perspectives.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exploring the role of community capacity and planning effort in disaster risk reduction and environmental sustainability: Spatio-temporal vulnerability and resiliency perspectives./
作者:	Kim, Hyun.
面頁冊數:	215 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-01(E), Section: A.
Contained By:	Dissertation Abstracts International77-01A(E).
標題:	Sustainability. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3720312
ISBN:	9781339012599

Exploring the role of community capacity and planning effort in disaster risk reduction and environmental sustainability: Spatio-temporal vulnerability and resiliency perspectives.
Kim, Hyun.

Exploring the role of community capacity and planning effort in disaster risk reduction and environmental sustainability: Spatio-temporal vulnerability and resiliency perspectives. - 215 p.

Source: Dissertation Abstracts International, Volume: 77-01(E), Section: A.

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2015.

Using the basic premise that disaster effects are fundamental social processes that require pro-active planning, a conceptual model of disaster losses that involves local exposure, shock, and loss within the context of inherent social system spatial and temporal vulnerability and resilience was formulated. Based upon a review of the extant literature, three theoretical hypotheses were proposed. First, disaster effects will have a negative association with social and economic development metrics; second, the higher the levels of a community's social and economic capacity, the lower the disaster losses; and third, better planning effort, social capital, and social justice in place before a natural disaster will lower disaster losses. This study will focus on examining disaster loss from flooding with respect to local planning effort, and social and economic condition at the county level within the Mississippi River basin in the United States. Data were collected from secondary sources (archival review and existing databases). Mixed analytical methods were used including log-linear model, quantile regression, two-stage least square model, longitudinal data analysis, spatial modeling, and content analysis. Unlike previous research, which has mainly focused on a theoretical approach to disaster resilience, this study adopted an empirical approach based on panel data at the county level from secondary sources. Initial results of spatial modeling suggest that disaster damage has a negative association with community social and economic structure, and that engaged social capital, more equitable distributional characteristics, and local proactive planning in place before a disaster results in lower disaster losses.

ISBN: 9781339012599Subjects--Topical Terms:

1029978
Sustainability.

Exploring the role of community capacity and planning effort in disaster risk reduction and environmental sustainability: Spatio-temporal vulnerability and resiliency perspectives.
LDR:02752nmm a2200289 4500 001 2075479
005 20161110122254.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781339012599
035 $a (MiAaPQ)AAI3720312
035 $a AAI3720312
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kim, Hyun. $3 3190869
245 1 0 $a Exploring the role of community capacity and planning effort in disaster risk reduction and environmental sustainability: Spatio-temporal vulnerability and resiliency perspectives.
300 $a 215 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-01(E), Section: A.
500 $a Adviser: David W. Marcouiller.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2015.
520 $a Using the basic premise that disaster effects are fundamental social processes that require pro-active planning, a conceptual model of disaster losses that involves local exposure, shock, and loss within the context of inherent social system spatial and temporal vulnerability and resilience was formulated. Based upon a review of the extant literature, three theoretical hypotheses were proposed. First, disaster effects will have a negative association with social and economic development metrics; second, the higher the levels of a community's social and economic capacity, the lower the disaster losses; and third, better planning effort, social capital, and social justice in place before a natural disaster will lower disaster losses. This study will focus on examining disaster loss from flooding with respect to local planning effort, and social and economic condition at the county level within the Mississippi River basin in the United States. Data were collected from secondary sources (archival review and existing databases). Mixed analytical methods were used including log-linear model, quantile regression, two-stage least square model, longitudinal data analysis, spatial modeling, and content analysis. Unlike previous research, which has mainly focused on a theoretical approach to disaster resilience, this study adopted an empirical approach based on panel data at the county level from secondary sources. Initial results of spatial modeling suggest that disaster damage has a negative association with community social and economic structure, and that engaged social capital, more equitable distributional characteristics, and local proactive planning in place before a disaster results in lower disaster losses.
590 $a School code: 0262.
650 4 $a Sustainability. $3 1029978
650 4 $a Urban planning. $3 2122922
650 4 $a Environmental studies. $3 2122803
690 $a 0640
690 $a 0999
690 $a 0477
710 2 $a The University of Wisconsin - Madison. $b Urban and Regional Planning. $3 3190870
773 0 $t Dissertation Abstracts International $g 77-01A(E).
790 $a 0262
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3720312