Quantifying the Role of Vulnerability in Hurricane Damage via a Machine Learning Case Study-Reference-Cited by-同舟云学术

Quantifying the Role of Vulnerability in Hurricane Damage via a Machine Learning Case Study

Published:2021-08 Issue:3 Volume:22 Page:04021028
ISSN:1527-6988
Container-title:Natural Hazards Review
language:en
Short-container-title:Nat. Hazards Rev.

Author:

Szczyrba Laura¹^ORCID,Zhang Yang²,Pamukcu Duygu³,Eroglu Derya Ipek⁴^ORCID,Weiss Robert⁵^ORCID

Affiliation:

1. Graduate Student, Dept. of Geosciences and Center for Coastal Studies, Virginia Tech, 926 West Campus Dr., Blacksburg, VA 24061 (corresponding author). ORCID: .

2. Associate Professor, School of Public and International Affairs, Virginia Tech, 140 Otey St. NW, Blacksburg, VA 24060.

3. Graduate Student, Dept. of Business Information Technology, Virginia Tech, 880 West Campus Dr., Blacksburg, VA 24061.

4. Graduate Student, Dept. of Business Information Technology, Virginia Tech, 880 West Campus Dr., Blacksburg, VA 24061. ORCID: .

5. Professor of Dept. of Geosciences and Director of Center for Coastal Studies, Virginia Tech, 926 West Campus Dr., Blacksburg, VA 24061. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29NH.1527-6996.0000460

Reference67 articles.

1. Measuring Community Vulnerability to Environmental Hazards: A Method for Combining Quantitative and Qualitative Data

2. Applied Research Associates. 2017. “Hurricane María wind data.” Accessed August 1 2019. https://disasters.geoplatform.gov/publicdata/NationalDisasters/2017/HurricaneMaria/Data/Wind/ARA/.

3. Asociación de Constructores de Puerto Rico. 2018. “Situación de la industria de la vivienda en Puerto Rico: Recomendaciones de política pública.” Accessed March 3 2020. https://spp-pr.org/category/noticias/.

4. Validating Resilience and Vulnerability Indices in the Context of Natural Disasters

5. Landslides Triggered by Hurricane Maria: Assessment of an Extreme Event in Puerto Rico

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning;Natural Hazards Review;2024-08

2. Machine learning and hydrodynamic proxies for enhanced rapid tsunami vulnerability assessment;Communications Earth & Environment;2024-06-05

3. Assessing landscape ecological vulnerability to riverbank erosion in the Middle Brahmaputra floodplains of Assam, India using machine learning algorithms;CATENA;2024-01

4. A predictive assessment of households' risk against disasters caused by cold waves using machine learning;International Journal of Disaster Risk Reduction;2023-11

5. Social vulnerability and population loss in Puerto Rico after Hurricane Maria;Population and Environment;2023-05-02