Disaster Recovery Gentrification in Post-Wildfire Landscapes: The Case of Paradise, CA

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105235 - 105235

Опубликована: Янв. 1, 2025

Язык: Английский

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Rare and highly destructive wildfires drive human migration in the U.S.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Авг. 5, 2024

Abstract The scale of wildfire impacts to the built environment is growing and will likely continue under rising average global temperatures. We investigate whether at what destruction threshold wildfires have influenced human mobility patterns by examining migration effects most destructive in contiguous U.S. between 1999 2020. find that only extreme (258+ structures destroyed) patterns. In contrast, majority examined were less did not cause significant changes out- or in-migration. These findings suggest that, for past two decades, influence on population was rare operated primarily through environment.

Язык: Английский

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Advanced Digital Technologies in the Post-Disaster Reconstruction Process—A Review Leveraging Small Language Models

Buildings, Год журнала: 2024, Номер 14(11), С. 3367 - 3367

Опубликована: Окт. 24, 2024

Post-disaster reconstruction of the built environment represents a key global challenge that looks set to remain for foreseeable future, but it also offers significant implications future sustainability and resilience environment. The purpose this research is explore current applications advanced digital/Industry 4.0 technologies in post-disaster (PDR) process with view improving its effectiveness efficiency extant literature from Scopus database on identified described. In novel review approach, small language models are used classification filtering technology-related articles. A qualitative content analysis then carried out understand extent which Industry applied practice, mapping their specific phases PDR identifying dominant trends technology deployment. study reveals rapidly evolving landscape technological innovation transformative potential enhancing efficiency, effectiveness, rebuilding efforts, including GIS, remote sensing, AI, BIM. Key include increasing automation data-driven decision-making, integration multiple 4.0/digital technologies, growing emphasis incorporating community needs local knowledge into plans. highlights need address challenges, such as developing interoperable platforms, addressing ethical using AI big data, exploring contribution sustainable practices.

Язык: Английский

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Long-term tracking of recovery of built infrastructure after wildfires with deep network topologies

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Янв. 29, 2025

Язык: Английский

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Toward a Theory of Population Return from Disasters: A Synthesis and Extension of Research Advances

Economics of Disasters and Climate Change, Год журнала: 2025, Номер unknown

Опубликована: Май 17, 2025

Язык: Английский

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Population Change in Wildfire-Affected Areas in the United States: Evidence from U.S. Postal Service Residential Address Data

Population Research and Policy Review, Год журнала: 2024, Номер 43(4)

Опубликована: Июль 29, 2024

Язык: Английский

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Catastrophic fires, human displacement, and real estate prices in California

Journal of Housing Economics, Год журнала: 2024, Номер 66, С. 102023 - 102023

Опубликована: Окт. 1, 2024

Язык: Английский

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Fire branding: Why do new residents make a burn scar their home?

GeoJournal, Год журнала: 2024, Номер 89(5)

Опубликована: Окт. 15, 2024

Язык: Английский

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