Incidents affecting the livestock industry are unavoidable in today's society. These incidents can happen at livestock shows across the country putting thousands of exhibitors, visitors, employees and livestock in danger. The purpose of this study was to determine local officials' perceptions and awareness of incident planning and response pertaining to selected livestock shows. Little research has been completed in this area; therefore, this foundational study was needed. The objectives of this study were to determine local officials' awareness of livestock shows and incident response plans for those livestock shows. In addition, the researcher wanted to describe the roles of local officials in incident planning and response at livestock shows. Level of communication and perceptions of challenges at livestock shows and among local officials were also evaluated. Lastly, the researcher wanted to describe local officials' recommendations for effective incident planning and response related to livestock shows. Five participants remarked on the value of this study and agreed to participate. These participants included livestock show officials involved in incident planning and response or local emergency management officials. Each participant was interviewed, and then data were transcribed and categorized to consensus. Nine themes arose including: background information, challenges, communication, example incidents, executing incident response, incident response planning, incident response training, miscellaneous and need for planning. It was concluded that all participants were aware of the selected livestock shows. However, levels of awareness varied by participant due to work-related experiences with the livestock show. The two livestock show participants were aware of specific incident response plans for the livestock show, while the three local emergency management officials were aware of city emergency management plans. Each participant remarked upon their roles in planning and executing incident response. In addition, communication was thought to be one of the key factors to successful incident planning and response. Challenges ranging from lack of communication to training for incident response were stated. Lastly, participants remarked on recommendations for others planning for incident response at livestock shows. These recommendations included communication, preplanning, building relationship with key stakeholders, training, and a need for more planning and research in this area. It is recommended that this study be replicated with scaled objectives for measuring awareness of livestock shows and incident response plans. Also, replicate this study to determine level of training in incident response and safe handling of livestock. It is recommended to describe communication between livestock shows and local emergency management officials. Lastly, it is recommended to replicate this study with regional livestock shows and state fairs.

Chemical incidents can be prevented or mitigated by improving safety performance and implementing the lessons learned from past incidents. Despite some limitations in the range of information they provide, chemical incident databases can be utilized as sources of lessons learned from incidents by evaluating patterns and relationships that exist between the data variables. Much of the previous research focused on studying the causal factors of incidents; hence, this research analyzes the chemical incidents from both the causal and consequence elements of the incidents. A subset of incidents data reported to the Hazardous Substance Emergency Events Surveillance (HSEES) chemical incident database from 2002-2006 was analyzed using data mining and text mining methodologies. Both methodologies were performed with the aid of STATISTICA software. The analysis studied 12,737 chemical process related incidents and extracted descriptions of incidents in free-text data format from 3,316 incident reports. The structured data was analyzed using data mining tools such as classification and regression trees, association rules, and cluster analysis. The unstructured data (textual data) was transformed into structured data using text mining, and subsequently analyzed further using data mining tools such as, feature selections and cluster analysis. The data mining analysis demonstrated that this technique can be used in estimating the incident severity based on input variables of release quantity and distance between victims and source of release. Using the subset data of ammonia release, the classification and regression tree produced 23 final nodes. Each of the final nodes corresponded to a range of release quantity and, of distance between victims and source of release. For each node, the severity of injury was estimated from the observed severity scores' average. The association rule identified the conditional probability for incidents involving piping, chlorine, ammonia, and benzene in the value of 0.19, 0.04, 0.12, and 0.04 respectively. The text mining was utilized successfully to generate elements of incidents that can be used in developing incident scenarios. Also, the research has identified information gaps in the HSEES database that can be improved to enhance future data analysis. The findings from data mining and text mining should then be used to modify or revise design, operation, emergency response planning or other management strategies.

The topic of this thesis is the research on the participants of the February 28 Incident from the interaction of political organizations to exam the turmoil led by Peng Mon-chi organization and puts great emphasis on the further excavation of the true facts of the earliest 11th(February 27th to March ninth in Year 36 of the Republic of China) of the 228 affairseses in Kaohsiung Cities, construct at that time concretely the history, to distinguish the affairs conflict in early days the organization situation of the aggressor and it acted, and tried to participate the situation and organization to interact the situation from private gentry in the place, finding out in 228 property of the affairseses of Kaohsiung.

Thesis (Ph. D.)--Lehigh University, 2001. / Includes vita. Includes bibliographical references (leaves 132-139).

Incident reporting systems offer rich opportunities for learning from errors in health care. However, little attention has been given to understanding how the implementation of reporting system characteristics impact analysis and communication activities. This research explored the characteristics of reporting systems that promote analysis and communication activities. Ten characteristics were identified through a comprehensive literature review. Two reporting systems were then compared to assess how differences in the implementation of the characteristics impact the contents of the database. The results demonstrated that differences in the characteristics’ implementation have an effect on the ability to extract information essential to analysis activities. Next, the reporting processes of the two systems were mapped onto a hierarchical framework to highlight how the characteristics influence the communication of incident information across the health care system. The presented work furthers the understanding of characteristics needed to design reporting systems more effective at promoting learning.

Incident reporting systems offer rich opportunities for learning from errors in health care. However, little attention has been given to understanding how the implementation of reporting system characteristics impact analysis and communication activities. This research explored the characteristics of reporting systems that promote analysis and communication activities. Ten characteristics were identified through a comprehensive literature review. Two reporting systems were then compared to assess how differences in the implementation of the characteristics impact the contents of the database. The results demonstrated that differences in the characteristics’ implementation have an effect on the ability to extract information essential to analysis activities. Next, the reporting processes of the two systems were mapped onto a hierarchical framework to highlight how the characteristics influence the communication of incident information across the health care system. The presented work furthers the understanding of characteristics needed to design reporting systems more effective at promoting learning.

Thesis (Ed. D.)--Lehigh University, 1997. / Includes vita. Includes bibliographical references (leaves 123-128).

Thesis (Ph. D.)--University of Texas at Austin, 1999. / Vita. Includes bibliographical references (leaves 459-481). Available also in a digital version from Dissertation Abstracts.

The thesis is focused on design of semi-automatic creation of incidents in the operational monitoring of Czech insurance company, based on the interconnection of two independently functioning applications currently used in the DoC (monitoring center). The purpose of the introduction of the new solution is saving time required for establishing an incident in SD (Service Desk) and its handover to a particular solver, which has a positive impact on the overall time dealing with the incident. Concept of semi-automatic creation of incidents in this thesis is prepared in relation to the analysis of the current state of the escalation of incidents, which included the measurement of the duration of the creation of incidents for a specific period. Final concept was tested in a non-productive environment and had the time of incident establishing measured. Based on the results obtained by empirical measurement method, tested solution was recommended for deployment in the production environment in terms of concrete benefits for operational monitoring ČPOJ.

The purpose of this study was to estimate the drivers' travel time with the occurrence of an incident on freeway. Three approaches, which were shock wave analysis, queuing theory and cellular automata models, were initially considered, however, the first two macroscopic models were indicated to underestimate travel time by previous literature. A microscopic simulation model based on cellular automata was developed to attain the goal. The model incorporated driving behaviors on the freeway with the presence of on-ramps, off-ramps, shoulder lanes, bottlenecks and incidents. The study area was a 16 mile eastbound section of I-66 between US-29 and I-495 in northern Virginia. The data for this study included loop detector data and incident data for the road segment for the year 2007. Flow and speed data from the detectors were used for calibration using quantitative and qualitative techniques. The cellular automata model properly reproduced the traffic flow under normal conditions and incidents. The travel time information was easily obtained from the model. The system is promising for travel time estimation in near real time. / Master of Science