Green Infrastructure and Post-Disaster Economic Recovery: Empirical Evidence from Hurricane Laura

Climate change intensifies natural disasters, requiring enhanced understanding of urban resilience mechanisms. While green infrastructure’s disaster mitigation role has been established through engineering studies, empirical evidence linking green infrastructure quality to post-disaster economic adaptation remains limited. This study examines whether community-level green infrastructure quality correlates with post-disaster economic adaptation following Hurricane Laura’s August 2020 landfall. [Methods] Using a natural experiment design, we analyzed 247 Census Block Groups in two coastal Texas communities (Galveston and Port Arthur) experiencing differential disaster severity. We employed ordinary least squares regression with SafeGraph foot traffic data to measure economic recovery and satellite-derived Normalized Difference Vegetation Index (NDVI) to measure green infrastructure quality. Results demonstrate that green infrastructure quality significantly correlates with post-disaster adaptation (β = 1.27, p < 0.001), independent of socioeconomic characteristics. The NDVI–severity interaction proved non-significant, indicating consistent associations across impact contexts. These findings suggest that green infrastructure supports resilience universally rather than only in moderate-risk areas. From an environmental justice perspective, equitable distribution may reduce disaster-related inequalities, supporting “bouncing forward” adaptation trajectories.

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Publication Details

Journal
Land
Published
2026-01-29
DOI
https://doi.org/10.3390/land15020224
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
0.00

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article

Green Infrastructure and Post-Disaster Economic Recovery: Empirical Evidence from Hurricane Laura

Y. Song, Yexuan Gu, Zhihan Tao, Z. Guo et al.
Land
Disaster Management and Resilience
article

Green Infrastructure and Post-Disaster Economic Recovery: Empirical Evidence from Hurricane Laura

Y. Song, Yexuan Gu, Zhihan Tao, Z. Guo, Jiajia Wang
article en

Abstract

Climate change intensifies natural disasters, requiring enhanced understanding of urban resilience mechanisms. While green infrastructure’s disaster mitigation role has been established through engineering studies, empirical evidence linking green infrastructure quality to post-disaster economic adaptation remains limited. This study examines whether community-level green infrastructure quality correlates with post-disaster economic adaptation following Hurricane Laura’s August 2020 landfall. [Methods] Using a natural experiment design, we analyzed 247 Census Block Groups in two coastal Texas communities (Galveston and Port Arthur) experiencing differential disaster severity. We employed ordinary least squares regression with SafeGraph foot traffic data to measure economic recovery and satellite-derived Normalized Difference Vegetation Index (NDVI) to measure green infrastructure quality. Results demonstrate that green infrastructure quality significantly correlates with post-disaster adaptation (β = 1.27, p < 0.001), independent of socioeconomic characteristics. The NDVI–severity interaction proved non-significant, indicating consistent associations across impact contexts. These findings suggest that green infrastructure supports resilience universally rather than only in moderate-risk areas. From an environmental justice perspective, equitable distribution may reduce disaster-related inequalities, supporting “bouncing forward” adaptation trajectories.

LandVol. 15(2)
University of Illinois Urbana-Champaign (US), Texas A&M University (US)
U.S. Geological Survey
Climate action
Openalex Percentile: Top 77%
Disaster Management and Resilience
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Green Infrastructure and Post-Disaster Economic Recovery: Empirical Evidence from Hurricane Laura — Y. Song, Yexuan Gu, et al. · Land (2026) | TGRS Research Map | TGRS