Identifying socially vulnerable regions with persistent low accessibility to emergency care through a spatial decision framework-Reference-Cited by-同舟云学术

Identifying socially vulnerable regions with persistent low accessibility to emergency care through a spatial decision framework

Published:2020-07-20 Issue:4 Volume:29 Page:201-222
ISSN:1246-0125
Container-title:Journal of Decision Systems
language:en
Short-container-title:Journal of Decision Systems

Author:

Vo Au¹^ORCID,Bhaskar Rahul²,Chi Tai-Yin³,Faddoul Guillaume³^ORCID

Affiliation:

1. Information Systems and Business Analytics, Loyola Marymount University , Los Angeles, CA, USA

2. Information Systems and Decision Sciences, California State University , Fullerton, CA, USA

3. Information Systems, San Francisco State University , San Francisco, CA, USA

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/12460125.2020.1796300

Reference61 articles.

1. Agency for Toxic Substances and Disease Registry . (2018, September 5). CDC’s social vulnerability index . The U.S. Department of Health and Human Services. https://svi.cdc.gov/

2. Landslides as Polycausal Phenomena

3. Reducing Vulnerability to Drought and Famine: Developmental Approaches to Relief

4. Assembly, G. (2006). Implementation of the international strategy for disaster reduction (Report of the Secretary-General. 61st Session). United Nations Office for Disaster Risk Reduction.

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