[HTML][HTML] Integrating machine learning and remote sensing in disaster management: A decadal review of post-disaster building damage assessment

S Al Shafian, D Hu - Buildings, 2024 - mdpi.com
Natural disasters pose significant threats to human life and property, exacerbated by their
sudden onset and increasing frequency. This paper conducts a comprehensive bibliometric …

[BUCH][B] Disaster recovery

BD Phillips, J Mincin - 2023 - taylorfrancis.com
Now in its third edition, Disaster Recovery continues to serve as the most comprehensive
book of its kind and will span the core areas that recovery managers and voluntary …

Big Earth Data for quantitative measurement of community resilience: current challenges, progresses and future directions

Y Qiang, L Zou, H Cai - Big Earth Data, 2023 - Taylor & Francis
Quantitative assessment of community resilience can provide support for hazard mitigation,
disaster risk reduction, disaster relief, and long-term sustainable development. Traditional …

Integration of detailed household and housing unit characteristic data with critical infrastructure for post-hazard resilience modeling

N Rosenheim, R Guidotti, P Gardoni… - Sustainable and …, 2021 - Taylor & Francis
This paper presents a methodology that generates and links high-resolution spatial data on
households and housing units with heterogeneous characteristics (ie, size, tenure status …

Damage assessment using google street view: Evidence from hurricane Michael in Mexico beach, Florida

W Zhai, ZR Peng - Applied geography, 2020 - Elsevier
Assessing damage on the ground is a challenging task for humanitarian organizations and
disaster managers due to the limited availability of data and methods for processing. As the …

Implementation of social equity metrics in an engineering-based framework for distributing disaster resources

JH Kim, EJ Sutley - International Journal of Disaster Risk Reduction, 2021 - Elsevier
Evidence has shown that populations within diverse communities are affected by natural
hazards and disasters disproportionately. Critically, it is suggested that it is the fault of pre …

Housing perceptions and code enforcement: an assessment of demolition orders using street view imagery and machine intelligence

EA López Ochoa, W Zhai - Journal of Planning Education …, 2024 - journals.sagepub.com
The rapid growth of US Sunbelt cities has intensified urban development pressures. Low-
income housing demolitions are a result of such pressures as they are “low hanging fruit” for …

From engagement to empowerment: How heritage professionals can incorporate participatory methods in disaster recovery to better serve socially vulnerable groups

J Gibson, MD Hendricks, JC Wells - International Journal of …, 2019 - Taylor & Francis
This article examines how the values, doctrines, and methodologies of orthodox heritage
practice are incorporated into legal regulatory systems and thereby concentrate power in the …

[HTML][HTML] Using rapid damage observations for Bayesian updating of hurricane vulnerability functions: A case study of Hurricane Dorian using social media

JA de Bruijn, JE Daniell, A Pomonis… - International Journal of …, 2022 - Elsevier
Rapid impact assessments immediately after disasters are crucial to enable rapid and
effective mobilization of resources for response and recovery efforts. These assessments are …

[PDF][PDF] Support strategies for socially marginalized neighborhoods likely impacted by natural hazards

CR Davis, P Berke… - … at Chapel Hill …, 2021 - coastalresiliencecenter.unc.edu
EXECUTIVE SUMMARY The 2018 Disaster Recovery Reform Act (DRRA) directs the
Federal Emergency Management Agency (FEMA) to reserve up to 6 percent from post …