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Luis Ceferino

Biographic Data

ID9720242
NAMELuis Ceferino
GIVEN NAMESLuis
FAMILY NAMECeferino
SIGNATURECEFERINO L
AFFILIATIONSUniversity of California, Berkeley
ORCID0000-0003-0322-7510
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Using virtual reality to study human response to flood risk across controlled experiments

    Open Access•Zhaoxi Zhang, Qinchan Li et al.•ARTICLE•International Journal of Disaster…•2026

    Flood consequences are related to human risk perception and behavior during emergencies. However, the lack of real-world data makes it difficult to study how people response. Taking advantage of virtual reality (VR), this study designs VR-based flood scenarios by simulating rising water in the city to study how human responses vary when humans are on the street or in the car under different conditions of rain level, visibility level and warning m…

  • Feasibility of Energy Communities for Urban Resilience against Hurricanes

    Prateek Arora, Luis Ceferino•ARTICLE•Natural Hazards Review•2026

    Coastal cities are vulnerable to climate extremes such as hurricanes, causing large-scale power outages. Peer-to-peer (P2P) energy sharing fosters resilient energy communities (ECs) by leveraging distributed energy resources (DERs) for local electricity generation and sharing, ensuring power access after disasters. This study developed a validated high-fidelity power system model for 2,640 urban households, integrating geographically sourced data…

  • Prioritizing Urban Areas for the Deployment of Hyperlocal Flood Sensors Using Stakeholder Elicitation and Risk Analysis

    Riccardo Negri, Luis Ceferino et al.•ARTICLE•Natural Hazards Review•2025

    This study develops a methodological framework to prioritize urban areas for the deployment of hyper-local, real-time flood-monitoring sensors. These sensors promise enhanced flood risk management in cities, where flood hazards can be highly localized. Given that the sensors provide data limited to specific locations, cities need to prioritize their deployment in areas that maximize the potential uses of the data, in line with the varied objectiv…

  • Hurricane Risk of Solar Generation in the United States

    Luis Ceferino, Ning Lin•ARTICLE•Natural Hazards Review•2023

    Projections indicate that solar energy will constitute 55% of total electricity capacity by 2050 in the US. Despite solar energy’s growing importance, few studies have analyzed the risks of countrywide deployments of solar infrastructure due to extreme weather events such as hurricanes. This paper presents a probabilistic framework to evaluate the performance of solar infrastructure to generate energy during hurricanes, which often cause signific…

No prominent works on this page.

  • Hurricane Risk of Solar Generation in the United States

    Luis Ceferino, Ning Lin•ARTICLE•Natural Hazards Review•2023

    Projections indicate that solar energy will constitute 55% of total electricity capacity by 2050 in the US. Despite solar energy’s growing importance, few studies have analyzed the risks of countrywide deployments of solar infrastructure due to extreme weather events such as hurricanes. This paper presents a probabilistic framework to evaluate the performance of solar infrastructure to generate energy during hurricanes, which often cause signific…

  • Prioritizing Urban Areas for the Deployment of Hyperlocal Flood Sensors Using Stakeholder Elicitation and Risk Analysis

    Riccardo Negri, Luis Ceferino et al.•ARTICLE•Natural Hazards Review•2025

    This study develops a methodological framework to prioritize urban areas for the deployment of hyper-local, real-time flood-monitoring sensors. These sensors promise enhanced flood risk management in cities, where flood hazards can be highly localized. Given that the sensors provide data limited to specific locations, cities need to prioritize their deployment in areas that maximize the potential uses of the data, in line with the varied objectiv…

  • Using virtual reality to study human response to flood risk across controlled experiments

    Open Access•Zhaoxi Zhang, Qinchan Li et al.•ARTICLE•International Journal of Disaster…•2026

    Flood consequences are related to human risk perception and behavior during emergencies. However, the lack of real-world data makes it difficult to study how people response. Taking advantage of virtual reality (VR), this study designs VR-based flood scenarios by simulating rising water in the city to study how human responses vary when humans are on the street or in the car under different conditions of rain level, visibility level and warning m…

  • Feasibility of Energy Communities for Urban Resilience against Hurricanes

    Prateek Arora, Luis Ceferino•ARTICLE•Natural Hazards Review•2026

    Coastal cities are vulnerable to climate extremes such as hurricanes, causing large-scale power outages. Peer-to-peer (P2P) energy sharing fosters resilient energy communities (ECs) by leveraging distributed energy resources (DERs) for local electricity generation and sharing, ensuring power access after disasters. This study developed a validated high-fidelity power system model for 2,640 urban households, integrating geographically sourced data…

Disaster Management and Resilience (2 works) · Engineering (2 works) · Environmental Science (2 works) · Flood myth (2 works) · Flood Risk Assessment and Management (2 works) · Geography (2 works) · Infrastructure Resilience and Vulnerability Analysis (2 works) · Archaeology (1 works) · Business (1 works) · Climate change (1 works)

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