|
|
Michael R. Bartolacci, Christoph Aubrecht, & Dilek Ozceylan Aubrecht. (2014). A portable base station optimization model for wireless infrastructure deployment in disaster planning and management. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 50–54). University Park, PA: The Pennsylvania State University.
Abstract: Disaster response requires communications among all affected parties including emergency responders and the affected populace. Wireless telecommunications, if available through a fixed structure cellular mobile network, satellites, portable station mobile networks and ad hoc mobile networks, can provide this means for such communications. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and mobile network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures of the deployment or minimizing overall 'cost' (including time aspects) to deploy. This work-in-progress does not focus on the question of what entity will operate the portable base during a disaster, but on optimizing the placement of mobile base stations or similar network nodes for planning and real time management purposes. An optimization model is proposed for the staging and placement of portable base stations to support disaster relief efforts.
|
|
|
|
Dilek Ozceylan Aubrecht, & Michael R. Bartolacci. (2012). The impact and opportunities for wireless communications in chinese disaster planning and management. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: Natural disasters such as hurricanes, floods, earthquakes, fires as well as those of manmade origins, such as dam breaches, necessitate communication between and among emergency responders, governmental officials, and the impacted populace. As the third largest country in terms of area and first in terms of population, China is no stranger to natural and manmade disasters of varying kinds. Until recently, the country had no central focus on dealing with such events and allowed local officials for the most part to plan and carry out all of the activities involved in disaster planning and management. Advances in the Chinese economy and more of a nationalist slant on policies have attempted to broaden the planning scope and management across the country with varying results. The deployment of wireless communications across China has assisted in disaster planning and management activities, but inconsistent policies and a haphazard approach to its deployment have hindered its ability to fully aid such activities. With a population of more than 1.3 billion (2010 Census) and its wide geography, China is one of the most natural disaster-affected countries in the world. Many natural disasters occur in China frequently and often result in severe damage and loss of life. In response to these events, several strategies for emergency management should be implemented, but in particular the integration of the deployment of wireless networks throughout the rural parts of the country with disaster/emergency planning for the same areas should be undertaken. © 2012 ISCRAM.
|
|
|
|
Magiswary Dorasamy, & Murali Raman. (2011). Information systems to support disaster planning and response: Problem diagnosis and research gap analysis. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: There is significant gap in the literature and past research on Knowledge Management Systems (KMS) in the domain of disasters. This PhD research work is an action research to design and implement a web-based knowledge management system that aims to fill this theoretical gap in KMS for disasters and to improve the disaster planning and response efforts within an institutional context. The diagnostic stage results imply that the organisation can benefit from the implementation of an information system to support its disaster planning and response efforts. Current scenario at the State Crisis and Security Council (SCSC) in Malaysia revealed some real challenges pertaining to communication, coordination and knowledge processes between SCSC and its district level officers (DO). The proposition of this research is that a well-defined knowledge management system can successfully support disaster planning and response effort in organizations.
|
|
|
|
Michael R. Bartolacci, Albena Mihovska, & Dilek Ozceylan Aubrecht. (2013). Optimization modeling and decision support for wireless infrastructure deployment in disaster planning and management. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 674–677). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: Natural disasters and emergencies create the need for communication between and among the affected populace and emergency responders as well as other parties such as governmental agencies and aid organizations. Such communications include the dissemination of key information such as evacuation orders and locations of emergency shelters. In particular, the coordination of efforts between responding organizations require additional communication solutions that typically rely heavily on wireless communications to complement fixed line infrastructure due to the ease of use and portability. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures of the deployment or minimizing overall cost to deploy. This work does not focus on the question of what entity will operate the portable base stations or wireless equipment utilized during a disaster, only the question of optimizing placement for planning and real time management purposes. This work examines current wireless network optimization models and points out that none of them include the necessary variables for a disaster planning or emergency deployment context. Due to the fact that the choice of wireless technology impacts the nature of an overall model, a brief discussion of exemplar wireless technologies is included. The work also proposes criteria that must be taken into account in order to have a useful model for deployment of mobile base stations and related wireless communications equipment.
|
|
|
|
Adriaan ter Mors, Jeroen M. Valk, & Cees Witteveen. (2005). An event-based task framework for disaster planning and decision support. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 151–153). Brussels: Royal Flemish Academy of Belgium.
Abstract: Because of the apparent ineffectiveness of current disaster plans, we focus our research on modeling emergency response activities. If we can capture the crucial concepts of emergency response in a mathematical framework and apply this framework to construct disaster plans, then we pave the way for the development of automated decisions support systems for emergency response.
|
|
|
|
Christopher W. Zobel. (2010). Comparative visualization of predicted disaster resilience. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The disaster resilience triangle is a simple but effective tool for illustrating the relationship between the initial impact of a disaster event and the subsequent time to recovery. This tool can also be expanded, however, to provide an analytic measure of the level of resilience exhibited by a particular entity in a given disaster situation. We build upon the previous work in this area by developing a new approach for visualizing and analyzing the tradeoffs between the two primary defining characteristics of the disaster resilience triangle. This new approach supports strategic decision making in a disaster planning environment by providing a straightforward means for directly comparing the relative predicted resilience of different critical facilities within an organization, with respect to both location and type of risk.
|
|
