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Author
Derya Ipek Eroglu
;
Duygu Pamukcu
;
Laura Szczyrba
;
Yang Zhang
Title
Analyzing and Contextualizing Social Vulnerability to Natural Disasters in Puerto Rico
Type
Conference Article
Year
2020
Publication
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
Iscram 2020
Volume
Issue
Pages
389-395
Keywords
Data Analytics, Hurricane María, Principal Component Analysis, Social Vulnerability Index.
Abstract
As the third hurricane the U.S. experienced in 2017, Hurricane María generated impacts that resulted in both short term and long term suffering in Puerto Rico. In this study, we aim to quantify the vulnerability of Puerto Ricans by taking region and society specific characteristics of the island into account. To do this, we follow Cutter et al.'s social vulnerability calculation, which is an inductive approach that aims to represent a society based on its characteristics. We adapted the Social Vulnerability Index (SoVI) for Puerto Rico by using data obtained from the U.S. Census Bureau. We analyzed the newly calculated SoVI for Puerto Rico and compared it with the existing deductive approach developed by the Center for Disease Control (CDC). Our findings show that the new index is able to capture some characteristics that the existing vulnerability index is unable to do.
Address
Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech
Corporate Author
Thesis
Publisher
Virginia Tech
Place of Publication
Blacksburg, VA (USA)
Editor
Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
978-1-949373-27-37
ISBN
2411-3423
Medium
Track
Data and resilience: opportunities and challenges
Expedition
Conference
17th International Conference on Information Systems for Crisis Response and Management
Notes
deryaipek@vt.edu
Approved
no
Call Number
Serial
2238
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