Charles Huyck - Profile on Academia.edu (original) (raw)
Papers by Charles Huyck
International Journal of Disaster Risk Science/International journal of disaster risk science, Feb 26, 2024
Earth observation (EO) technologies, such as very high-resolution optical satellite data availabl... more Earth observation (EO) technologies, such as very high-resolution optical satellite data available from Maxar, can enhance economic consequence modeling of disasters by capturing the fine-grained and real-time behavioral responses of businesses and the public. We investigated this unique approach to economic consequence modeling to determine whether crowd-sourced interpretations of EO data can be used to illuminate key economic behavioral responses that could be used for computable general equilibrium modeling of supply chain repercussions and resilience effects. We applied our methodology to the COVID-19 pandemic experience in Los Angeles County, California as a case study. We also proposed a dynamic adjustment approach to account for the changing character of EO through longer-term disasters in the economic modeling context. We found that despite limitations, EO data can increase sectoral and temporal resolution, which leads to significant differences from other data sources in terms of direct and total impact results. The findings from this analytical approach have important implications for economic consequence modeling of disasters, as well as providing useful information to policymakers and emergency managers, whose goal is to reduce disaster costs and to improve economic resilience.
Inferring Peak Ground Acceleration (PGA) from observed building damage and EO-derived exposure development to develop rapid loss estimates following the April 2015 Nepal earthquake
AGU Fall Meeting Abstracts, Dec 1, 2016
Modeling the Impacts of Sea Level Rise to Real Estate Portfolios
The Earthquake Engineering Online Archive-(Nisee e-library)
Procedures and computer programs are developed for determining the response of soil-foundation-st... more Procedures and computer programs are developed for determining the response of soil-foundation-structure interaction systems during earthquakes and to investigate the nature of soil and interaction effects. Assuming the linear elastic stress-strain behavior of the soil, the author develops a two-dimensional analytical model of soil-foundation-structure interaction. The model consists of one-dimensional structural members, a two-dimensional rigid foundation block, and quadrilateral finite elements which idealize soil deposits. The ...
Deploying the Google Earth Engine in support of development of Open Critical Infrastructure Exposure for Disaster Forecasting, Mitigation and Response
AGU Fall Meeting Abstracts, Dec 11, 2020
Rapid Flood Severity Classification and Alerting for the Spring 2020 Africa Floods: A Case Study
AGU Fall Meeting Abstracts, Dec 1, 2020
Mapping the Human Planet: Utilizing Earth Observations to Operationalize the Fundamental Geospatial Data Themes
AGU Fall Meeting Abstracts, Dec 1, 2019
Merging Remote Sensing and Socioeconomic Data to Improve Disaster Risk Assessment
AGUFM, Dec 1, 2015
Open Critical Infrastructure Exposure for Disaster Forecasting, Mitigation and Response
AGUFM, Dec 1, 2019
Proceedings of SPIE, Dec 22, 2003
This paper provides an overview of Project RESCUE, which aims to enhance the mitigation capabilit... more This paper provides an overview of Project RESCUE, which aims to enhance the mitigation capabilities of first responders in the event of a crisis by dramatically transforming their ability to collect, store, analyze, interpret, share and disseminate data. The multidisciplinary research agenda incorporates a variety of information technologies: networks; distributed systems; databases; image and video processing; and machine learning, together with subjective information obtained through social science. While the IT challenges focus on systems and algorithms to get the right information to the right person at the right time, social science provides the right context. Besides providing an overview of the nature of RESCUE research activities the paper highlights challenges of particular interest to the internet imaging community.
Roles of Remote Sensing Technologies for Disaster Resilience
American Society of Civil Engineers eBooks, Apr 1, 2022
Remote Sensing for Resilient Multi-Hazard Disaster Response - Volume II: Counting the Number of Collapsed Buildings Using an Object-Oriented Analysis: Case Study of the 2003 Bam Earthquake
A Comparison of Gridded Population Data Products in Disaster Response
AGU Fall Meeting Abstracts, Dec 11, 2020
Natural Hazards Review, Nov 1, 2007
Mitigation ameliorates the impact of natural hazards on communities by reducing loss of life and ... more Mitigation ameliorates the impact of natural hazards on communities by reducing loss of life and injury, property and environmental damage, and social and economic disruption. The potential to reduce these losses brings many benefits, but every mitigation activity has a cost that must be considered in our world of limited resources. In principle benefit-cost analysis (BCA) can be used to assess a mitigation activity's expected net benefits (discounted future benefits less discounted costs), but in practice this often proves difficult. This paper reports on a study that refined BCA methodologies and applied them to a national statistical sample of FEMA mitigation activities over a ten-year period for earthquake, flood, and wind hazards. The results indicate that the overall benefit-cost ratio for FEMA mitigation grants is about 4 to 1, though the ratio varies according to hazard and mitigation type.
Characterizing uncertainty of general building stock exposure data
Earthquake Spectra, Mar 9, 2022
Effective disaster risk management (DRM) and disaster risk reduction (DRR) require modeling poten... more Effective disaster risk management (DRM) and disaster risk reduction (DRR) require modeling potential and post-event impacts using building exposure data. The data used to develop building exposure databases will influence the accuracy of risk assessments and the appropriateness of subsequent decisions. This article proposes a framework for classifying approaches of developing building exposure databases into levels. To examine the uncertainty introduced through using various approaches to exposure development, a probabilistic seismic risk assessment was run with the exposure data corresponding to each proposed level using the County of Los Angeles as the study area. A factor of ∼2.5 was observed in the final loss estimates. The variance was less dependent on the spatial scale of data than on key values, most notably estimates of building size and replacement cost.
Assessing Cost Efficacy of the Caltrans Phase I and Phase II Bridge Retrofit Program
Lifelines 2022, Nov 16, 2022
Challenges in Human and Built Environment Exposure Modeling for Catastrophic Risk Assessment: How Can We Get it Right?
AGU Fall Meeting Abstracts, Dec 1, 2019
Remote sensing for building inventory generation: GEM-driven global solutions
Addressing the disaster risk reduction needs of end users in emerging countries using Earth Observation (EO) data and innovative risk products as a part of the "Modelling Exposure through Earth Observation Routines (METEOR)" project
AGU Fall Meeting Abstracts, Dec 1, 2019
International Journal of Disaster Risk Science/International journal of disaster risk science, Feb 26, 2024
Earth observation (EO) technologies, such as very high-resolution optical satellite data availabl... more Earth observation (EO) technologies, such as very high-resolution optical satellite data available from Maxar, can enhance economic consequence modeling of disasters by capturing the fine-grained and real-time behavioral responses of businesses and the public. We investigated this unique approach to economic consequence modeling to determine whether crowd-sourced interpretations of EO data can be used to illuminate key economic behavioral responses that could be used for computable general equilibrium modeling of supply chain repercussions and resilience effects. We applied our methodology to the COVID-19 pandemic experience in Los Angeles County, California as a case study. We also proposed a dynamic adjustment approach to account for the changing character of EO through longer-term disasters in the economic modeling context. We found that despite limitations, EO data can increase sectoral and temporal resolution, which leads to significant differences from other data sources in terms of direct and total impact results. The findings from this analytical approach have important implications for economic consequence modeling of disasters, as well as providing useful information to policymakers and emergency managers, whose goal is to reduce disaster costs and to improve economic resilience.
Inferring Peak Ground Acceleration (PGA) from observed building damage and EO-derived exposure development to develop rapid loss estimates following the April 2015 Nepal earthquake
AGU Fall Meeting Abstracts, Dec 1, 2016
Modeling the Impacts of Sea Level Rise to Real Estate Portfolios
The Earthquake Engineering Online Archive-(Nisee e-library)
Procedures and computer programs are developed for determining the response of soil-foundation-st... more Procedures and computer programs are developed for determining the response of soil-foundation-structure interaction systems during earthquakes and to investigate the nature of soil and interaction effects. Assuming the linear elastic stress-strain behavior of the soil, the author develops a two-dimensional analytical model of soil-foundation-structure interaction. The model consists of one-dimensional structural members, a two-dimensional rigid foundation block, and quadrilateral finite elements which idealize soil deposits. The ...
Deploying the Google Earth Engine in support of development of Open Critical Infrastructure Exposure for Disaster Forecasting, Mitigation and Response
AGU Fall Meeting Abstracts, Dec 11, 2020
Rapid Flood Severity Classification and Alerting for the Spring 2020 Africa Floods: A Case Study
AGU Fall Meeting Abstracts, Dec 1, 2020
Mapping the Human Planet: Utilizing Earth Observations to Operationalize the Fundamental Geospatial Data Themes
AGU Fall Meeting Abstracts, Dec 1, 2019
Merging Remote Sensing and Socioeconomic Data to Improve Disaster Risk Assessment
AGUFM, Dec 1, 2015
Open Critical Infrastructure Exposure for Disaster Forecasting, Mitigation and Response
AGUFM, Dec 1, 2019
Proceedings of SPIE, Dec 22, 2003
This paper provides an overview of Project RESCUE, which aims to enhance the mitigation capabilit... more This paper provides an overview of Project RESCUE, which aims to enhance the mitigation capabilities of first responders in the event of a crisis by dramatically transforming their ability to collect, store, analyze, interpret, share and disseminate data. The multidisciplinary research agenda incorporates a variety of information technologies: networks; distributed systems; databases; image and video processing; and machine learning, together with subjective information obtained through social science. While the IT challenges focus on systems and algorithms to get the right information to the right person at the right time, social science provides the right context. Besides providing an overview of the nature of RESCUE research activities the paper highlights challenges of particular interest to the internet imaging community.
Roles of Remote Sensing Technologies for Disaster Resilience
American Society of Civil Engineers eBooks, Apr 1, 2022
Remote Sensing for Resilient Multi-Hazard Disaster Response - Volume II: Counting the Number of Collapsed Buildings Using an Object-Oriented Analysis: Case Study of the 2003 Bam Earthquake
A Comparison of Gridded Population Data Products in Disaster Response
AGU Fall Meeting Abstracts, Dec 11, 2020
Natural Hazards Review, Nov 1, 2007
Mitigation ameliorates the impact of natural hazards on communities by reducing loss of life and ... more Mitigation ameliorates the impact of natural hazards on communities by reducing loss of life and injury, property and environmental damage, and social and economic disruption. The potential to reduce these losses brings many benefits, but every mitigation activity has a cost that must be considered in our world of limited resources. In principle benefit-cost analysis (BCA) can be used to assess a mitigation activity's expected net benefits (discounted future benefits less discounted costs), but in practice this often proves difficult. This paper reports on a study that refined BCA methodologies and applied them to a national statistical sample of FEMA mitigation activities over a ten-year period for earthquake, flood, and wind hazards. The results indicate that the overall benefit-cost ratio for FEMA mitigation grants is about 4 to 1, though the ratio varies according to hazard and mitigation type.
Characterizing uncertainty of general building stock exposure data
Earthquake Spectra, Mar 9, 2022
Effective disaster risk management (DRM) and disaster risk reduction (DRR) require modeling poten... more Effective disaster risk management (DRM) and disaster risk reduction (DRR) require modeling potential and post-event impacts using building exposure data. The data used to develop building exposure databases will influence the accuracy of risk assessments and the appropriateness of subsequent decisions. This article proposes a framework for classifying approaches of developing building exposure databases into levels. To examine the uncertainty introduced through using various approaches to exposure development, a probabilistic seismic risk assessment was run with the exposure data corresponding to each proposed level using the County of Los Angeles as the study area. A factor of ∼2.5 was observed in the final loss estimates. The variance was less dependent on the spatial scale of data than on key values, most notably estimates of building size and replacement cost.
Assessing Cost Efficacy of the Caltrans Phase I and Phase II Bridge Retrofit Program
Lifelines 2022, Nov 16, 2022
Challenges in Human and Built Environment Exposure Modeling for Catastrophic Risk Assessment: How Can We Get it Right?
AGU Fall Meeting Abstracts, Dec 1, 2019
Remote sensing for building inventory generation: GEM-driven global solutions
Addressing the disaster risk reduction needs of end users in emerging countries using Earth Observation (EO) data and innovative risk products as a part of the "Modelling Exposure through Earth Observation Routines (METEOR)" project
AGU Fall Meeting Abstracts, Dec 1, 2019