Browsing by Subject "Response"
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Item An economic exploration of prevention versus response in animal related bioterrorism decision making(Texas A&M University, 2006-04-12) Elbakidze, LevanAnimal disease outbreaks either through deliberate terroristic act or accidental introductions present a serious economic problem. This work concentrates on the economics of choosing strategies to mitigate possible agricultural terrorism and accidental introduction events largely in the animal disease management setting. General economic issues and the economic literature related to agricultural terrorism broadly and animal disease concerns specifically are reviewed. Basic economic aspects, such as the economic consequences of outbreaks, costs and benefits of various mitigation strategies, and stochastic characteristics of the problem are discussed. A conceptual economic model is formulated to depict the animal disease outbreak related decision making process. The key element of this framework is the choice between ex ante versus ex post mitigation strategies. The decision of investing in preventative and/or responsive strategies prior to the occurrence of an event versus relying on response and recovery actions after an outbreak event needs careful consideration. Comparative statics investigations reveal that factors that affect this decision are event probability, and severity, as well as costs, benefits, and effectiveness of various mitigation strategies. A relatively simplified empirical case study is done analyzing the economic tradeoffs between and optimum levels of ex ante detection, as a form of prevention, and ex post slaughter, as a form of response. The setting chosen involves Foot and Mouth Disease management. Empirical investigation is done on the conditions under which it is economically more advantageous to invest in ex ante detection as opposed to relying just on ex post response. Results show that investment in ex ante activities becomes more advantageous as the probability and severity of an agricultural terrorism event increases, response effectiveness decreases, and costs of surveillance decrease. Also spread rate is found to play a key role in determining optimal combination of ex ante and ex post strategies with more done ex ante the faster the disease spread. Finally, an economic framework is posed for future work given availability of a more detailed epidemiologic model. Access to such a model will allow for incorporation of wider spectrum of strategies including numerous possibilities for prevention, detection, response and market recovery facilitation. The framework allows more localized options, multiple possible events and incorporation of risk aversion among other features.Item Nonlinear modeling of Texas highway bridges for seismic response-history analysis(2016-12) Prakhov, Vyacheslav Oleksiyovich; Clayton, Patricia M.; Williamson, Eric B., 1968-A recent increase in the number of earthquakes across the state of Texas has raised concerns about seismic performance of highway bridges in the state inventory, the vast majority of which were not explicitly designed to withstand earthquake loading. Potential causes of seismic damage include column shear failure due to low transverse reinforcement rations and non-seismic detailing, girder unseating due to excessive bearing deformation or instability, deck pounding, and others. The objective of the study is to develop bridge numerical models for nonlinear response-history analysis taking into consideration Texas-specific design and detailing practices. Using the models developed, the fragility of Texas bridges can be analyzed and systematically quantified, allowing state highway officials to efficiently identify the bridges most likely to be damaged after an earthquake. Component models for all major bridge parts were developed for this study, including the superstructure, deck joint, bearing, bent, foundation, and abutment. The models were developed based on past experimental, analytical, and numerical work from the literature, accounting for the mass, stiffness, and damping properties of each bridge component. Damage was accounted for using nonlinear hinge models capable of simulating stiffness-degradation and hysteretic behavior based on specific properties and expected limit states of each bridge component. Finally, a MATLAB script was developed to assemble bridge component models into full bridge models depending on user input of geometric and material properties of an individual bridge sample.