Shane Crawford
Biographic Data
| ID | 6957961 |
|---|---|
| NAME | Shane Crawford |
| GIVEN NAMES | Shane |
| FAMILY NAME | Crawford |
| SIGNATURE | CRAWFORD S |
| AFFILIATIONS | Feeding America |
| ORCID | 0000-0003-3848-1447 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
State-of-the-art review of resilient smart cities
State of the Art and Research Needs in Design for Tornadoes to Improve Community Resilience
A Framework for Characterizing Uncertainty Factors in Postdisaster Structural Performance Assessment Data
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal
Discrete-Outcome Analysis of Tornado Damage Following the 2011 Tuscaloosa, Alabama, Tornado
Ground-truth measurements of damage caused by natural disasters are routinely used to determine which factors of the natural, built, and social environment contribute to losses from these events. Process-based models, which are based on structural design and probability theory, are often used in engineering risk analysis to predict damage and subsequent losses from these events, but empirical modeling can effectively aid in capturing the partial …
Community Resilience-Focused Technical Investigation of the 2016 Lumberton, North Carolina, Flood
In early October 2016, Hurricane Matthew crossed North Carolina as a Category 1 storm, with some areas receiving 0.38–0.46 m (15–18 in.) of rainfall on already saturated soil. The NIST-funded Center for Risk-Based Community Resilience Planning teamed with researchers from NIST’s Engineering Laboratory (Disaster and Failure Studies Program, Community Resilience Group, and the Applied Economics Office) to conduct a field study focused on the impact…
Disaster Resilience
No prominent works on this page.
Disaster Resilience
Discrete-Outcome Analysis of Tornado Damage Following the 2011 Tuscaloosa, Alabama, Tornado
Ground-truth measurements of damage caused by natural disasters are routinely used to determine which factors of the natural, built, and social environment contribute to losses from these events. Process-based models, which are based on structural design and probability theory, are often used in engineering risk analysis to predict damage and subsequent losses from these events, but empirical modeling can effectively aid in capturing the partial …
Community Resilience-Focused Technical Investigation of the 2016 Lumberton, North Carolina, Flood
In early October 2016, Hurricane Matthew crossed North Carolina as a Category 1 storm, with some areas receiving 0.38–0.46 m (15–18 in.) of rainfall on already saturated soil. The NIST-funded Center for Risk-Based Community Resilience Planning teamed with researchers from NIST’s Engineering Laboratory (Disaster and Failure Studies Program, Community Resilience Group, and the Applied Economics Office) to conduct a field study focused on the impact…
A Framework for Characterizing Uncertainty Factors in Postdisaster Structural Performance Assessment Data
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal
State of the Art and Research Needs in Design for Tornadoes to Improve Community Resilience
State-of-the-art review of resilient smart cities
Engineering (5 works) · Computer Science (4 works) · Geography (4 works) · Political science (4 works) · Sociology (4 works) · Community resilience (3 works) · Disaster Management and Resilience (3 works) · Flood Risk Assessment and Management (3 works) · Infrastructure Resilience and Vulnerability Analysis (3 works) · Data science (2 works)