Hurricane exposure, structural vulnerability, and insurance gaps drive property damage after superstorm sandy

This study examines property damage resulting from Superstorm Sandy (2012) using a household survey conducted in affected areas across ten states in the Northeastern United States. We employ spatial econometric tools to investigate the impact of hurricane intensity and home structural characteristics on damages, as well as associated spatial dependencies. To control for hurricane severity and assess hazard exposure, we generate multiple hurricane intensity measures at the census-tract level, which provides exogenous variation for the survey data. Our analysis provides empirical evidence demonstrating that both hurricane exposure and structural vulnerabilities significantly contribute to property damage. Additionally, we find that insurance coverage plays a crucial role in mitigating losses for affected households. Our analysis also uncovers several insurance challenges, including inadequate coverage, socioeconomic disparities, and underinsurance in high-risk areas. These findings highlight the need for improved insurance policies and disaster risk reduction strategies to better protect vulnerable communities from future hurricane risks.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-07-17
DOI
https://doi.org/10.1038/s41598-026-59652-y
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hurricane exposure, structural vulnerability, and insurance gaps drive property damage after superstorm sandy

Nafisa Halim, Pallab Mozumder, Sisi Meng, Mehrnoosh Asadi et al.
Scientific Reports
Flood Risk Assessment and Management
article

Hurricane exposure, structural vulnerability, and insurance gaps drive property damage after superstorm sandy

Nafisa Halim, Pallab Mozumder, Sisi Meng, Mehrnoosh Asadi, Fan Jiang
article en

Abstract

This study examines property damage resulting from Superstorm Sandy (2012) using a household survey conducted in affected areas across ten states in the Northeastern United States. We employ spatial econometric tools to investigate the impact of hurricane intensity and home structural characteristics on damages, as well as associated spatial dependencies. To control for hurricane severity and assess hazard exposure, we generate multiple hurricane intensity measures at the census-tract level, which provides exogenous variation for the survey data. Our analysis provides empirical evidence demonstrating that both hurricane exposure and structural vulnerabilities significantly contribute to property damage. Additionally, we find that insurance coverage plays a crucial role in mitigating losses for affected households. Our analysis also uncovers several insurance challenges, including inadequate coverage, socioeconomic disparities, and underinsurance in high-risk areas. These findings highlight the need for improved insurance policies and disaster risk reduction strategies to better protect vulnerable communities from future hurricane risks.

Scientific Reports
Boston University (US), Florida International University (US), Cornell University (US), College of Saint Benedict and Saint John's University (US), Shanghai University of International Business and Economics (CN)
National Science Foundation
Climate action
Openalex Percentile: Top 10%
Flood Risk Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.