Jamie E Padgett
Dados Biográficos
| ID | 5105342 |
|---|---|
| NOME | Jamie E Padgett |
| PRENOMES | Jamie E |
| SOBRENOME | Padgett |
| ASSINATURA | PADGETT J E |
| AFILIAÇÕES | Rice University |
| ORCID | 0000-0002-7484-2871 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 7 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 7 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Integrated decision-support framework for enhancing coastal community resilience against hurricane-induced hazards
Coastal communities face escalating threats from hurricanes, necessitating a shift from descriptive risk assessment to prescriptive, optimized portfolio planning to enhance resilience. This study introduces an integrated decision-support framework that couples high-fidelity, multihazard socio-physical system modeling with a multi-objective optimization model. The framework quantifies the cascading impacts of hurricane-induced wind, storm surge, a…
The use of machine-learning methods for post-earthquake building usability assessment
The assessment of building usability in the aftermath of an earthquake is mostly aimed at post-event emergency management, but it is also valuable for the planning of risk-reduction policies. In the seismic risk assessment field, the development of suitable consequence functions that correlate physical damage to usability and serviceability of structures is crucial to evaluate the expected social and economic losses in a region of interest. Predi…
Sensing Flooded Roads to Support Roadway Mobility during Flooding
Reliable sensing of roadway conditions during flooding is a long-standing, challenging problem with societal importance for roadway safety. Tools that provide real-time data on road conditions during floods can facilitate safer mobility, reduce vehicle-related drownings, enhance flood response efficiency, and support emergency response decision-making. Following the tenets of user-centered design, such tools ideally should address the needs of di…
Knowledge-Informed Data-Driven Modeling of Coupled Human-Built–Natural Systems
Debris is one of the most challenging cascading effects posed by hurricane events, causing large financial and logistical burdens to coastal communities. Moreover, disaster debris can have cascading consequences on the safety and functionality of infrastructure, inhibit community recovery efforts, and lead to public health concerns. However, existing debris predictive models have shown an unsatisfactory performance, with errors up to 50% in debri…
Probabilistic Risk Assessment of Coupled Natural-Physical-Social Systems
The combined effect of storm surge and wave action during severe storms in coastal regions can cause significant damage to civil infrastructures with cascading consequences to coastal communities and their residents with respect to emergency response, repair, and recovery. This coupling of natural, physical, and social systems presents an important yet relatively underexplored problem in the probabilistic risk assessment of coastal systems. Not o…
Accessibility and Recovery Assessment of Houston’s Roadway Network due to Fluvial Flooding during Hurricane Harvey
The record-breaking rainfall produced by Hurricane Harvey resulted in catastrophic and prolonged impacts on Houston’s transportation infrastructure, inundating entire neighborhoods and rendering them inaccessible to emergency response services. Harvey highlighted the vulnerability of the roadway network to severe inundation during extreme fluvial flood events and emphasized the need for a detailed roadway network accessibility characterization in…
The Social Sustainability Index for Small Infrastructure Projects
Implementing the triple bottom line of sustainability demands equal recognition and quantification of the economic, environmental, and social dimensions of sustainability; however, the social dimension has been addressed mostly implicitly. In particular, measurable parameters are needed to explicitly address this social dimension of sustainability for infrastructure projects. Small infrastructure projects, while difficult to assess, are particula…
The Social Sustainability Index for Small Infrastructure Projects
Implementing the triple bottom line of sustainability demands equal recognition and quantification of the economic, environmental, and social dimensions of sustainability; however, the social dimension has been addressed mostly implicitly. In particular, measurable parameters are needed to explicitly address this social dimension of sustainability for infrastructure projects. Small infrastructure projects, while difficult to assess, are particula…
The Social Sustainability Index for Small Infrastructure Projects
Implementing the triple bottom line of sustainability demands equal recognition and quantification of the economic, environmental, and social dimensions of sustainability; however, the social dimension has been addressed mostly implicitly. In particular, measurable parameters are needed to explicitly address this social dimension of sustainability for infrastructure projects. Small infrastructure projects, while difficult to assess, are particula…
Accessibility and Recovery Assessment of Houston’s Roadway Network due to Fluvial Flooding during Hurricane Harvey
The record-breaking rainfall produced by Hurricane Harvey resulted in catastrophic and prolonged impacts on Houston’s transportation infrastructure, inundating entire neighborhoods and rendering them inaccessible to emergency response services. Harvey highlighted the vulnerability of the roadway network to severe inundation during extreme fluvial flood events and emphasized the need for a detailed roadway network accessibility characterization in…
Probabilistic Risk Assessment of Coupled Natural-Physical-Social Systems
The combined effect of storm surge and wave action during severe storms in coastal regions can cause significant damage to civil infrastructures with cascading consequences to coastal communities and their residents with respect to emergency response, repair, and recovery. This coupling of natural, physical, and social systems presents an important yet relatively underexplored problem in the probabilistic risk assessment of coastal systems. Not o…
The use of machine-learning methods for post-earthquake building usability assessment
The assessment of building usability in the aftermath of an earthquake is mostly aimed at post-event emergency management, but it is also valuable for the planning of risk-reduction policies. In the seismic risk assessment field, the development of suitable consequence functions that correlate physical damage to usability and serviceability of structures is crucial to evaluate the expected social and economic losses in a region of interest. Predi…
Sensing Flooded Roads to Support Roadway Mobility during Flooding
Reliable sensing of roadway conditions during flooding is a long-standing, challenging problem with societal importance for roadway safety. Tools that provide real-time data on road conditions during floods can facilitate safer mobility, reduce vehicle-related drownings, enhance flood response efficiency, and support emergency response decision-making. Following the tenets of user-centered design, such tools ideally should address the needs of di…
Knowledge-Informed Data-Driven Modeling of Coupled Human-Built–Natural Systems
Debris is one of the most challenging cascading effects posed by hurricane events, causing large financial and logistical burdens to coastal communities. Moreover, disaster debris can have cascading consequences on the safety and functionality of infrastructure, inhibit community recovery efforts, and lead to public health concerns. However, existing debris predictive models have shown an unsatisfactory performance, with errors up to 50% in debri…
Integrated decision-support framework for enhancing coastal community resilience against hurricane-induced hazards
Coastal communities face escalating threats from hurricanes, necessitating a shift from descriptive risk assessment to prescriptive, optimized portfolio planning to enhance resilience. This study introduces an integrated decision-support framework that couples high-fidelity, multihazard socio-physical system modeling with a multi-objective optimization model. The framework quantifies the cascading impacts of hurricane-induced wind, storm surge, a…
Computer Science (6 obras) · Environmental resource management (5 obras) · Engineering (4 obras) · Environmental Science (4 obras) · Geography (4 obras) · Civil engineering (3 obras) · Flood Risk Assessment and Management (3 obras) · Tropical and Extratropical Cyclones Research (3 obras) · Business (2 obras) · Coastal and Marine Dynamics (2 obras)