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Disaster Nonprofit Relief, and Housing Recovery, Using GIS Techniques.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Disaster Nonprofit Relief, and Housing Recovery, Using GIS Techniques./
作者:	Ifediora, Byron Chuks.
面頁冊數:	1 online resource (120 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-03, Section: A.
Contained By:	Dissertations Abstracts International85-03A.
標題:	Disaster relief. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30563886click for full text (PQDT)
ISBN:	9798380268301

Disaster Nonprofit Relief, and Housing Recovery, Using GIS Techniques.
Ifediora, Byron Chuks.

Disaster Nonprofit Relief, and Housing Recovery, Using GIS Techniques. - 1 online resource (120 pages)

Source: Dissertations Abstracts International, Volume: 85-03, Section: A.

Thesis (Ph.D.)--North Carolina State University, 2023.

Includes bibliographical references

North Carolina Volunteer Organizations Active in Disasters (NCVOAD) is the North Carolina chapter of National Volunteer Organizations Active in Disasters (NVOAD) and is responsible for coordinating volunteer-based support of response and recovery efforts following disaster. Like the national organization, NCVOAD aims to connect non-profit organizations with strong volunteer bases to communities. To make volunteer labor helpful to recovery, they act to improve coordination, communication, collaboration, and cooperation among non-profit groups. Collectively, NCVOAD organizations aspire to go the "last-mile" to serve diverse communities in ways that state and local emergency management personnel cannot. However, it is not clear how effective NCVOAD is at coordinating its member organizations or if the communities they serve are those in most need.To inform NCVOAD efforts toward coordinating services for a quick response and full recovery from disaster, I apply geospatial analytics to data on the disaster response and recovery work coordinated by NCVOAD following Hurricane Florence in 2018. My first paper addresses the current literature around disaster recovery, disaster nonprofits coordination, and the application of geospatial analytics in the evaluation of nonprofit performance and disaster recovery. My second paper identifies and analyzes the spatial and temporal trends in disaster recovery assistance requests filled by North Carolina Volunteer Organizations Active in Disasters' (NCVOAD) member organizations. Results quantify the association between requests for recovery assistance made to NCVOAD following Hurricane Florence and the time it took to fill each request. By identifying response clusters, I show that regions reached by NCVOAD member organizations quickly were served by multiple nonprofits. This study found that when multiple member organizations responded to an area, one organization addressed majority of cases overall. This suggests that certain member organizations have increased capacity, which could allow them to be the leading organization in an area. Subsequently, NCVOAD can direct member organizations with limited capacities to collaborate, communicate and coordinate with leading organizations to reduce duplication of effort and recovery in communities. My third paper identifies the structural factors (socioeconomics, resilience, and hazard risks) that influence NVOAD effectiveness. Using Geographic Temporally Weighted Regression (GTWR), results indicate the coordination efficiency (i.e., the length of time cases remained open) in census tracts was associated with differences in the relative size of racial and linguistic minority populations, expected hurricane loss, and the proportion of requests for debris removal. These factors explained both space and temporal disparities in VOAD work.Taken together, the chapters of this dissertation demonstrate that geospatial analytics is useful for emergency response and situational awareness in addition to measuring performance of nonprofit organizations (NPOs) by identifying metrics and outcomes. This dissertation highlights NCVOADs potential to coordinate and respond to areas of need quickly, while serving both socially vulnerable communities and physically vulnerable communities effectively. Furthermore, spatial-temporal evaluation of efforts to coordinate volunteers provides necessary feedback on the extent that action aids response, leads to recovery and enables resilience. Finally, this dissertation offers a geospatial approach scholars and practitioners can follow to identify disaster nonprofit equity and to measure impact. Geospatial analytics can be used to identify characteristics of populations that are served. The challenge of using geospatial analytics to determine if NCVOAD's actions align with their mission is identifying metrics, gathering supplemental data, and identifying the target communities/population they serve. Lastly, measuring the timeliness of service delivery using a sensible time step indicative of response and recovery is critical to understanding capacity.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798380268301Subjects--Topical Terms:

582492
Disaster relief.
Index Terms--Genre/Form:

542853
Electronic books.

Disaster Nonprofit Relief, and Housing Recovery, Using GIS Techniques.
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