Open Access. Powered by Scholars. Published by Universities.®
Emergency and Disaster Management Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (6)
- Operations Research, Systems Engineering and Industrial Engineering (4)
- Business (3)
- Operations and Supply Chain Management (3)
- Other Operations Research, Systems Engineering and Industrial Engineering (3)
-
- Artificial Intelligence and Robotics (1)
- Civil Engineering (1)
- Civil and Environmental Engineering (1)
- Computer Sciences (1)
- Electrical and Computer Engineering (1)
- Medicine and Health Sciences (1)
- Mental and Social Health (1)
- Operational Research (1)
- Physical Sciences and Mathematics (1)
- Public Health (1)
- Risk Analysis (1)
- Signal Processing (1)
- Keyword
-
- Emergency management (2)
- Humanitarian assistance (2)
- Optimization (2)
- Simulation (2)
- Air Force planning (1)
-
- Air bases (1)
- Business logistics (1)
- Construction productivity (1)
- Contract administration (1)
- Crater repair (1)
- Decision trees (1)
- Disaster Relief (1)
- Disaster management (1)
- Disaster recovery (1)
- Disaster relief (1)
- Disaster relief (United States) (1)
- Disaster relief--Decision making (1)
- Emergencies (1)
- Emergency management--United States (1)
- Fire fighters (1)
- Food crises (1)
- Humanitarianism (1)
- Hurricane Katrina (2005) (1)
- Interactions (1)
- Interdependent infrastructures (1)
- International relief (1)
- Logistic regression (1)
- Low-intensity conflicts (Military science) (1)
- Manpower planning (1)
- Mental health (1)
- Publication Type
Articles 1 - 12 of 12
Full-Text Articles in Emergency and Disaster Management
Island Nation Duress: Simulating Passive Peer-To-Peer Bluetooth Communication During Disaster Relief, Jason K. Medeiros
Island Nation Duress: Simulating Passive Peer-To-Peer Bluetooth Communication During Disaster Relief, Jason K. Medeiros
Theses and Dissertations
Pacific Islands under U.S. jurisdiction are highly vulnerable to natural disasters, yet many lack the infrastructure to effectively respond and recover. Clear communication during and after such events is critical for evacuation, hazard awareness, and first responders’ coordination. This research explores a simulation-based approach using Bluetooth communication to relay messages across Guam, assessing its efficiency through statistical analysis. By examining regional differences and geographic impacts on Bluetooth messaging, the study aims to identify key factors that enhance peer-to-peer communication for timely and effective disaster response.
Team And Skill Matching For Disaster Recovery Operations, Emily B. Frahm
Team And Skill Matching For Disaster Recovery Operations, Emily B. Frahm
Theses and Dissertations
United States Air Force (USAF) bases are key power projection platforms that ensure mission readiness and help bring humanitarian aid to locations in need. Recovering airfields after attack or natural disaster is a key mission of USAF civil engineers, and accomplishing this repair as swiftly as possible is key to maintaining our position in the global order. Accomplishing a disaster recovery project is a set of teams, each assigned to a specific task, and made up of a series of personnel. The question answered within this paper is: how do we match the right person with the appropriate skills to …
Impact Of Operational And Restoration Interdependencies On Cost And Disruptive Effect In Multilayered Infrastructure Networks, Brigham A. Moore, Steven J. Schuldt, Ramana V. Grandhi, David R. Jacques
Impact Of Operational And Restoration Interdependencies On Cost And Disruptive Effect In Multilayered Infrastructure Networks, Brigham A. Moore, Steven J. Schuldt, Ramana V. Grandhi, David R. Jacques
Faculty Publications
Network-based modeling and simulation of interdependent infrastructure systems has traditionally modeled 1 to 2 interdependency subtypes within a given model. Typically, different interdependency subtypes are modeled with special sets, variables, and parameters rather than integrated into the model as a standard feature. The most thorough current modeling efforts have modeled only four of the nine interdependency subtypes identified throughout academic literature. This paper presents the first model to incorporate all nine of the identified interdependency subtypes in a multiobjective mixed-integer program. The model is tested using a simulated flood event and a modified interdependent infrastructure dataset representing a medium- to …
Year-Independent Prediction Of Food Insecurity Using Classical & Neural Network Machine Learning Methods, Caleb Christiansen, Torrey J. Wagner, Brent Langhals
Year-Independent Prediction Of Food Insecurity Using Classical & Neural Network Machine Learning Methods, Caleb Christiansen, Torrey J. Wagner, Brent Langhals
Faculty Publications
Current food crisis predictions are developed by the Famine Early Warning System Network, but they fail to classify the majority of food crisis outbreaks with model metrics of recall (0.23), precision (0.42), and f1 (0.30). In this work, using a World Bank dataset, classical and neural network (NN) machine learning algorithms were developed to predict food crises in 21 countries. The best classical logistic regression algorithm achieved a high level of significance (p < 0.001) and precision (0.75) but was deficient in recall (0.20) and f1 (0.32). Of particular interest, the classical algorithm indicated that the vegetation index and the food price index were both positively correlated with food crises. A novel method for performing an iterative multidimensional hyperparameter search is presented, which resulted in significantly improved performance when applied to this dataset. Four iterations were conducted, which resulted in excellent 0.96 for metrics of precision, recall, and f1. Due to this strong performance, the food crisis year was removed from the dataset to prevent immediate extrapolation when used on future data, and the modeling process was repeated. The best “no year” model metrics remained strong, achieving ≥0.92 for recall, precision, and f1 while meeting a 10% f1 overfitting threshold on the test (0.84) and holdout (0.83) datasets. The year-agnostic neural network model represents a novel approach to classify food crises and outperforms current food crisis prediction efforts.
A Coupled Hazard Simulation And Post-Disaster Resource Optimization Framework, Stephen M. Cunningham
A Coupled Hazard Simulation And Post-Disaster Resource Optimization Framework, Stephen M. Cunningham
Theses and Dissertations
Extreme events, such as natural or human-caused disasters, cause mental health stress in affected communities. While the severity of these outcomes varies based on socioeconomic standing, age group, and degree of exposure, disaster planners can mitigate potential stress-induced mental health outcomes by assessing early, intermediate, and long-term treatment interventions by social workers and psychologists. However, local and state authorities are typically underfunded, understaffed, and have ongoing health and social service obligations that constrain mitigation and response activities. A resource assignment framework is developed as a coupled-state transition and linear optimization model that assists planners in optimally allocating constrained resources and …
Optimizing The Prioritization Of Natural Disaster Recovery Projects, Jason M. Aftanas
Optimizing The Prioritization Of Natural Disaster Recovery Projects, Jason M. Aftanas
Theses and Dissertations
Prioritizing reconstruction projects to recover a base from a natural disaster is a complicated and arduous process that involves all levels of leadership. The project prioritization phase of base recovery has a direct affect on the allocation of funding, the utilization of human resources, the obligation of projects, and the overall speed and efficiency of the recovery process. The focus of this research is the development of an objective and repeatable process for optimizing the project prioritization phase of the recovery effort. This work will focus on promoting objectivity in the project prioritizing process, improving the communication of the overall …
Quantification Of Risk For Usaf Fire And Emergency Services Flights As A Result Of Shortage In Manpower, Timothy D. Dalby
Quantification Of Risk For Usaf Fire And Emergency Services Flights As A Result Of Shortage In Manpower, Timothy D. Dalby
Theses and Dissertations
The United States Air Force (USAF) is currently experiencing a period of high operations tempo and overseas deployments have become frequent. These deployments will leave home installations short manned. Some amount of risk is incurred by the home installation as a result of the short manning. For an organization, such as an USAF Fire and Emergency Services (FES) flight, whose primary responsibility is the protection of life and property, the incurred risk could be catastrophic. Still no attempt has been made to quantify risk in terms of manpower for the USAF FES flights. The primary purpose of this research was …
The Chaos Of Katrina: A Nonlinear Analysis Of Federal Logistics Support During Hurricane Katrina Relief Operations, Gerald W. Morris Jr.
The Chaos Of Katrina: A Nonlinear Analysis Of Federal Logistics Support During Hurricane Katrina Relief Operations, Gerald W. Morris Jr.
Theses and Dissertations
This thesis presents a case study of federal logistics support during Hurricane Katrina disaster relief operations. Data from federal contracts covering the first 10 weeks of Katrina are used to measure federal logistics activity. The study investigates whether chaos theory, part of complexity science, can extract information from Katrina contracting data to help managers make better logistics decisions during disaster relief operations. The study uses three analytical techniques: embedding, fitting the data to a logistic equation, and plotting the limit-cycle. Embedding and fitting a logistic equation to the data were used to test for deterministic chaos. The logistic equation and …
A Multi-Objective Decision-Making Model For Resources Allocation In Humanitarian Relief, Seungbae Park
A Multi-Objective Decision-Making Model For Resources Allocation In Humanitarian Relief, Seungbae Park
Theses and Dissertations
This thesis addresses the critical resource allocation in the initial days of a disaster relief operation. One of the most important and essential components of relief operations is the allocation of scarce resources to accomplish the relief efforts. Every operation for disaster relief needs various critical resources whether they are personnel, equipment, supplies, or simply finances. Several research efforts for disaster relief have suggested methods to allocate scarce resources across a variety of competing objectives and programs in a disaster relief operation. Many of those efforts focused on optimizing a mathematical programming model subject to budget constraints. However, capturing the …
Supply Chain Management In Humanitarian Relief Logistics, William K. Rodman
Supply Chain Management In Humanitarian Relief Logistics, William K. Rodman
Theses and Dissertations
Hundreds of millions of people are affected by disasters each year. This thesis explores the use of supply chain management techniques to overcome the barriers encountered by logistics managers during humanitarian relief operations. Using grounded theory methodology, barriers were analyzed based on academic, organizational, and contemporary literature. Possible solutions to these barriers were selected from available supply chain management literature. This work is different from others in that it marries supply chain principles from different disciplines (including private, nonprofit, and military sectors) to benefit humanitarian operations. It also serves to advance the body of knowledge on this subject so that …
The Interaction Of Fema With Air Force Stateside Contingency Contracting Operations, Jeffrey A. Merchant
The Interaction Of Fema With Air Force Stateside Contingency Contracting Operations, Jeffrey A. Merchant
Theses and Dissertations
Natural disasters can strike the U.S. at any time without warning. When an Air Force base is struck with disaster, the base as well as the surrounding area must interact with FEMA to initiate and sustain emergency relief operations. Policies and procedures must be in effect to ensure that affected personnel know what agencies to coordinate with to conduct relief efforts. This research explores how the Air Force interacts with FEMA in a natural disaster situation that affects an Air Force base. A case study investigates how FEMA interacted with Grand Forks AFB during the 1997 flooding to determine the …
The Process Of Providing Humanitarian Assistance: A Department Of Defense Perspective, Rhonda M. Smith, Barbara J. Stansfield
The Process Of Providing Humanitarian Assistance: A Department Of Defense Perspective, Rhonda M. Smith, Barbara J. Stansfield
Theses and Dissertations
This research effort was a qualitative study on the current process of how the DOD provides humanitarian assistance. Currently the process is not well defined and is situation dependent. Historical documents and current guidelines, policies, and regulations were researched for information on what types of humanitarian assistance the DOD provides, how the process is initiated, and who is involved in the process. Agencies outside of the military, both civilian and government, were researched to determine the extent of coordination necessary for the military to provide humanitarian assistance. A model was compiled to portray the current process and given to key …