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Author |
Zvonko Grzetic; Nenad Mladineo; Snjezana Knezic |
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Title |
Emergency management systems to accommodate ships in distress |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
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Volume |
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Issue |
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Pages |
669-678 |
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Keywords |
Artificial intelligence; Civil defense; Decision support systems; Disasters; Geographic information systems; Information systems; Risk management; Decision support system (dss); Dss; Emergency management; Emergency management systems; European Parliament; Model-based OPC; Multi Criteria Analysis; Operational research; Ships |
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Abstract |
As a future member of the European Union (EU), Croatia has decided to implement EU Directive 2002/59/EC of the European Parliament and of the Council binding all EU member states to define places of refuge for ships in need of assistance off their coasts, or to develop techniques for providing assistance to such ships. Consequently, the Ministry of the Sea, Tourism, Transport and Development of the Republic of Croatia has initiated a project for developing an effective Decision Support System (DSS) for defining the places of refuge for ships in distress at sea. Such a system would include a model based upon GIS and different operational research models, which would eventually result in establishing an integral DSS. Starting points for analysis are shipping corridors, and 380 potential locations for places of refuge designated in the official navigational pilot book. Multicriteria analysis, with GIS-generated input data, would be used to establish worthiness of a place of refuge for each ship category, taking into account kinds of accident. Tables of available intervention resources would be made, as well as analysis of their availability in respect of response time, and quantitative and qualitative sufficiency. |
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Address |
Hydrographic Institute of the Republic of Croatia, Zrinsko-Frankopanska 161, 21000 Split, Croatia; University of Split, Faculty of Civil Engineering and Architecture, Matice hrvatske 15, 21000 Split, Croatia |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
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Language |
English |
Summary Language |
English |
Original Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
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Track |
Visualization and Smart Room Technology for Decision Making, Information Sharing, and Collaboration |
Expedition |
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Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Approved |
no |
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Call Number |
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Serial |
551 |
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Author |
Zhou Sen; Bartel A. Van De Walle |
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Title |
How intellectual capital reduces stress on organizational decision-making performance: The mediating roles of task complexity and time pressure |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
220-224 |
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Keywords |
Decision making; Information systems; Knowledge management; Decision-making performance; Intellectual capital; Mediating roles; Organizational decision making; Reduced complexity; Structural equation modeling; Task complexity; Time pressures; Behavioral research |
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Abstract |
Previous research claimed that organizational stress, due to task complexity and time pressure, leads to considerably negative effects on the decision-making performance of individuals and organizations. At the same time, intellectual capital (IC), in providing intangible internal and external organizational assets has a positive effect on organizational decision-making performance. This paper develops a structural equation model to analyze the relationships among IC, task complexity, time pressure and decision-making performance. Empirical data are collected from 374 participants, who are from universities, institutes, enterprises, government, with different occupations and expertise. We present two conclusions. First, IC consisting of internal capital, human capital and external capital leads to a reduced complexity of tasks and reduced time pressure and hence reduced organizational stress. Second, reduced organizational stress results in higher levels of performance for organizational decision-making. |
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Address |
Harbin Engineering University, China; Tilburg University, Netherlands |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Decision Support Systems |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
937 |
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Author |
Zhenyu Yu; Chuanfeng Han; Ma Ma |
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Title |
Emergency decision making: A dynamic approach |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
240-244 |
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Keywords |
Decision theory; Fires; Information systems; Markov processes; Risk management; Decision problems; Dynamic approaches; Dynamic decision making; Dynamic decision problem; Effective management; Emergency decision makings; Emergency management; Markov Decision Processes; Decision making |
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Abstract |
The dynamic nature of emergency decision making exerts difficulty to decision makers for achieving effective management. In this regard, we suggest a dynamic decision making model based on Markov decision process. Our model copes with the dynamic decision problems quantitatively and computationally, and has powerful expression ability to model the emergency decision problems. We use a wildfire scenario to demonstrate the implementation of the model, as well as the solution to the firefighting problem. The advantages of our model in emergency management domain are discussed and concluded in the last. |
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Address |
School of Economics and Management, Tongji University, China; Institute of Public Safety Research, Tsinghua University, China |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Decision Support Systems |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1134 |
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Author |
Zeno Franco; Syed Ahmed; Craig E. Kuziemsky; Paul A. Biedrzycki; Anne Kissack |
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Title |
Using social network analysis to explore issues of latency, connectivity, interoperability & sustainability in community disaster response |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
896-900 |
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Keywords |
Data fusion; Disasters; Information systems; Mergers and acquisitions; Social networking (online); Boundary spanning; Community engagement; Community resources; Community vulnerability; Crisis response; Disaster recovery; Disaster response; Social network analysis approaches; Emergency services |
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Abstract |
Community-based disaster response is gaining attention in the United States because of major problems with domestic disaster recovery over the last decade. A social network analysis approach is used to illustrate how community-academic partnerships offer one way to leverage information about existing, mediated relationships with the community through trusted actors. These partnerships offer a platform that can be used to provide entré into communities that are often closed to outsiders, while also allowing greater access to community embedded physical assets and human resources, thus facilitated more culturally appropriate crisis response. Using existing, publically available information about funded community-academic partnerships in Wisconsin, USA, we show how social network analysis of these meta-organizations may provide critical information about both community vulnerabilities in disaster and assist in rapidly identifying these community resources in the aftermath of a crisis event that may provide utility for boundary spanning crisis information systems. |
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Address |
Medical College of Wisconsin, United States; U. Ottawa, Canada; City of Milwaukee Public Health Department, United Kingdom |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Social Media |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
504 |
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Author |
Zeno Franco; Nina Zumel; John Holman; Kathy Blau; Larry E. Beutler |
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Title |
Evaluating the impact of improvisation on the incident command system: A modified single case study using the DDD simulator |
Type |
Conference Article |
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Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
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Volume |
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Issue |
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Pages |
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Keywords |
Behavioral research; Disaster prevention; Disasters; Human resource management; Information systems; Risk management; Simulators; Improvisation; Incident command systems; Performance assessment; Psychology; Simulation; Intelligent control |
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Abstract |
This study attempted to evaluate the utility of the Incident Command System (ICS) in varying disaster contexts. ICS is mandated in the United States and practitioners assert that it is an effective organizing system for emergency management. However, researchers contend that the utility of ICS is conflated with inter-team familiarity gained during ICS exercises. A military team-in-the-loop simulator was customized to represent the problems, resources, and command structures found in civilian led disaster management teams. A modified single case design drawn from behavioral psychology was used to explore possible casual relationships between changes team heterogeneity and performance. The design also allowed for the evaluation of improvisation on performance. Further, psychological factors that may underpin improvisation were explored. In addition to some preliminary empirical findings, the successes and difficulties in adapting the DDD simulator are briefly discussed as part of an effort to achieved greater interdisciplinary integration. |
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Address |
Pacific Graduate School of Psychology, United States; Quimba Software, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Research Methods |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
506 |
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Author |
Zahra Ashktorab; Christopher Brown; Manojit Nandi; Aron Culotta |
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Title |
Tweedr: Mining twitter to inform disaster response |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
354-358 |
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Keywords |
Data mining; Disaster prevention; Disasters; Extraction; Filtration; Information systems; Social networking (online); Classification methods; Disaster response; Extraction phase; Logistic regressions; Natural disasters; Social media; Specific information; Text mining; Emergency services |
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Abstract |
In this paper, we introduce Tweedr, a Twitter-mining tool that extracts actionable information for disaster relief workers during natural disasters. The Tweedr pipeline consists of three main parts: classification, clustering and extraction. In the classification phase, we use a variety of classification methods (sLDA, SVM, and logistic regression) to identify tweets reporting damage or casualties. In the clustering phase, we use filters to merge tweets that are similar to one another; and finally, in the extraction phase, we extract tokens and phrases that report specific information about different classes of infrastructure damage, damage types, and casualties. We empirically validate our approach with tweets collected from 12 different crises in the United States since 2006. |
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Address |
University of Maryland, College Park, United States; University of Texas, Austin, United States; Carnegie Mellon University, United States; Illinois Institute of Technology, United States |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Humanitarian Information Systems |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
275 |
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Author |
Yulia Tyshchuk; William A. Wallace |
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Title |
The use of social media by local government in response to an extreme event: Del norte county, CA response to the 2011 Japan tsunami |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
802-811 |
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Keywords |
Civil defense; Information systems; Risk management; Tsunamis; Affected area; Emergency management; Extreme events; Feed-back loop; First responders; Local government; Monitoring information; Social media; Disasters |
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Abstract |
Social media has become increasingly important for emergency management. One example is its current use by governmental organizations to disseminate emergency-relevant information. During disaster events, it is imperative for people in affected areas to obtain accurate information. People using social media make a conscious decision to trust, act on, propagate or disregard emergency-relevant information. However, local government, in general, has not developed agreed upon ways to use social media in emergencies. This study documents how emergency management was able to successfully partner with local media and utilize social media to develop important relationships with the affected community via social media in emergencies. The study demonstrates a way to successfully utilize social media during disaster events in several ways: by closing a feedback loop between first responders and the public, by monitoring information flow, and by providing regular updates to the public. |
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Address |
Rensselaer Polytechnic Institute, United States |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Social Media |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1031 |
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Author |
Yuanyuan Li; Wenguo Weng; Tao Chen; Hongyong Yuan |
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Title |
A Chinese earthquake database for casualty modelling |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
493-497 |
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Keywords |
Database systems; Information systems; Models; Risk assessment; Risk perception; Casualty; China; Comprehensive information; Database records; Earthquake database; Earthquake events; Historical earthquakes; Seismic parameters; Earthquakes |
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Abstract |
In order to conduct empirical casualty modelling in China, Chinese historical earthquake events is the essential basis. However, commonly used casualty databases that focus on Chinese earthquakes and provide comprehensive information rarely exist. Regarding this situation, we derived an earthquake casualty database of Mainland China from authorized Chinese published data sources. The casualty database records 520 earthquake events with magnitude 5.0 and greater where at least one casualty is recorded in the time span from 186 BC through December 2011. Each earthquake case contains information on seismic parameters, deaths tolls, number of heavy injuries and light injuries, as well as areas and population of affected regions from intensity VI to intensity IV. Compared with PAGER-CAT, this casualty database provides 146 unique earthquake events and provides more detailed information on heavy injuries and light injures, as well as areas and exposure population of affected regions. This casualty database is an essential supplement for global casualty databases and provides a basis for earthquake casualty modelling on post-earthquake risk estimation in China. |
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Address |
Institute of Public Safety Research, Tsinghua University, Beijing, China |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
696 |
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Author |
Yrjo Raivio; Ronja Addams-Moring |
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Title |
Mobile emergency announcements with really simple syndication (RSS 2.0) |
Type |
Conference Article |
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Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
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Volume |
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Issue |
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Pages |
164-171 |
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Keywords |
Global system for mobile communications; Hypertext systems; Information systems; Signaling; World Wide Web; Cap; Citizens Warning; Common alerting protocols; Mea; Mobile Emergency Announcement; Public Warning; Rss |
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Abstract |
Broadcasting methods, such as the radio, the television and sirens, have been the main choices for delivering emergency announcements (EA)-Also called public warnings, emergency alerts or citizens warnings-during the last 60 odd years. Unfortunately, broadcast EAs do not reach all people, and the reason for the EA and the actions required can remain unclear. Today, the high penetration of personal mobile phones offers new options to authorities. As a result, a new research and implementation area, Mobile Emergency Announcement (MEA), has emerged. The GSM Short Message System (SMS) is already deployed for MEA delivery. Simultaneously, in the World Wide Web (WWW) a novel news delivery technology, called Really Simple Syndication 2.0 (RSS) is spreading. This paper describes a concept for how RSS can be harnessed for MEA use. First, MEA requirements are briefly reviewed. Second, the eXtended Markup Language (XML) based Common Alerting Protocol (CAP) and the syndication protocol RSS 2.0 are presented. Third, the central implementation issues are presented. Finally, the proposed solution is critically reviewed. |
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Address |
Telecommunications Software and Multimedia Laboratory, Helsinki University of Technology (TKK), Finland |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
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Track |
PUBLIC WARNING SYSTEMS |
Expedition |
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Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
866 |
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Author |
Yongzhong Sha; Jinsong Yan; Guoray Cai |
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Title |
Detecting public sentiment over PM2.5 pollution hazards through analysis of Chinese microblog |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
722-726 |
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Keywords |
Air pollution; Information systems; Time series analysis; Crisis; Pm2.5; Public opinions; Sentiment analysis; Social media analysis; Social aspects |
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Abstract |
Decision-making in crisis management can benefit from routine monitoring of the (social) media to discover the mass opinion on highly sensitive crisis events. We present an experiment that analyzes Chinese microblog data (extracted from Weibo.cn) to measure sentiment strength and its change in relation to the recent PM 2.5 air pollution events. The data were analyzed using SentiStrength algorithm together with a special sentiment words dictionary tailored and refined for Chinese language. The results of time series analysis on detected sentiment strength showed that less than one percent of the posts are strong-positive or strong negative. Weekly sentiment strength measures show symmetric changes in positive and negative strength, but overall trend moved towards more positive opinions. Special attention was given to sharp bursts of sentiment strength that coincide temporally with the occurrence of extreme social events. These findings suggest that sentiment strength analysis may generate useful alert and awareness of pending extreme social events. |
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Address |
Lanzhou University, Gansu, China; Penn State University, University Park, PA, United States |
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Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Social Media in Crisis Response and Management |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
939 |
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Author |
Yixing Shan; Lili Yang; Roy Kalawsky |
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Title |
Exploring the prescriptive modeling of fire situation assessment |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
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Pages |
60-64 |
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Keywords |
Hardware; Ecological rationality; Emergency response; Empirical investigation; Fast and frugal heuristics; Judgment analysis; Prescriptive models; Situation assessment; Situation awareness; Information systems |
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Abstract |
One of the key assumptions in Endsley's three-level Situation Awareness (SA) model is the critical role of mental models in the development and maintenance of SA. We explored a prescriptive way of modeling this essential mental process of the fire incident commanders' fire ground assessment. The modeling was drawn from the Fast and Frugal Heuristics (FFHs) program, given the strong parallels between its contentions on ecological rationality and the environment demanding of the emergency response context. This paper addresses a number of issues being encountered in the attempt of our empirical investigation. |
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Address |
Loughborough University, United Kingdom |
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Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Analytic Modeling and Simulation |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
942 |
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Author |
Yikun Liu; Sung Pil Moon; Mark Pfaff; Jill L. Drury; Gary L. Klein |
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Title |
Collaborative option awareness for emergency response decision making |
Type |
Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Volume |
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Issue |
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Pages |
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Keywords |
Decision making; Decision support systems; Information systems; Visualization; Collaboration; Collaborative decision making; Decision supports; Option awareness; Robust decision-making; Emergency services |
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Abstract |
We have been using exploratory modeling to forecast multiple plausible outcomes for a set of decision options situated in the emergency response domain. Results were displayed as a set of box-plots illustrating outcome frequencies distributed across an evaluative dimension (e.g., cost, score, or utility). Our previous research showed that such displays provide what we termed “option awareness” – an ability to determine robust options that will have good outcomes across the broadest number of plausible futures. This paper describes an investigation into extending this approach to collaborative decision making by providing a visualization of both collaborative and individual decision spaces. We believe that providing such visualizations will be particularly important when each individuals decision space does not account for the synergy that may emerge from collaboration. We describe how providing collaborative decision spaces improves the robustness of joint decisions and engenders high confidence in these decisions. |
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Address |
Indiana University, Indianapolis, United States; MITRE Corporation, Bedford, MA, United States; MITRE Corporation, McLean, VA, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
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Track |
Analytical Information Systems |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
719 |
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Author |
Yiewi Li.; Yu Guo; Naoya Ito |
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Title |
An exploration of a social-cognitive framework for improving the human-centric risk communication |
Type |
Conference Article |
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Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
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Volume |
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Issue |
|
Pages |
394-398 |
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Keywords |
Information retrieval; Risk perception; Environmental risk perceptions; Environmental risks; Human-centric; Information environment; Information seeking behaviors; Online surveys; Predictive power; Risk communication; Information systems |
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Abstract |
With the aim of improving human-centric risk communication, this research in progress paper argues for a social-cognitive perspective focusing on the interaction between laypeople and the information environment. A model is designed to predict laypeople's environmental risk perception and information seeking behavior. Using data from a national online survey (N=1,032), our research is an effort to test the predictive power of the socialcognitive model. Practical implications are also discussed in this paper. |
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Address |
Graduate School of International Media, Communication, and Tourism Studies, Hokkaido University, Japan; Research Faculty of Media and Communication, Hokkaido University, Japan |
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Corporate Author |
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Thesis |
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Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
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Track |
Planning, Foresight and Risk Analysis |
Expedition |
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Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
697 |
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Author |
Yasir Javed; Tony Norris; David Johnston |
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Title |
Evaluating SAVER: Measuring shared and team situation awareness of emergency decision makers |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Volume |
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Issue |
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Pages |
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Keywords |
Decision making; Information systems; Systems analysis; Decision performance; Emergency; Large-scale emergency; Optimal decision making; Research interests; Safety and efficiencies; Situation awareness; Team situation awareness; Human resource management |
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Abstract |
Large scale emergencies are usually responded to by a team of emergency managers or a number of sub teams for safety and efficiency. Team coordination has attracted considerable research interest, especially from the cognitive, human factors, and ergonomic aspects because shared situation awareness (SSA) and team situation awareness (TSA) of team members are critical for optimal decision making. This paper describes the development of an information system (SAVER) based on SSA and TSA oriented systems design. Validation and evaluation of the implemented design show that decision performance is improved by the SAVER system. © 2012 ISCRAM. |
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Address |
Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand; Joint Center of Disaster Research, Massey University, Wellington, New Zealand |
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Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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Track |
Early Warning and Expert Systems for Disaster Management |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
135 |
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Author |
Yasir Javed; Tony Norris; David Johnston |
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Title |
Ontology-based inference to enhance team situation awareness in emergency management |
Type |
Conference Article |
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Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
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Volume |
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Issue |
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Pages |
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Keywords |
Decision making; Information systems; Ontology; Risk management; Semantics; Context; Cooperative tasks; Emergency; Emergency management; Emergency situation; Semantic technologies; Situation awareness; Team situation awareness; Human resource management |
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Abstract |
In this paper, we propose the use of an ontology-based and semantic technologies approach to improving shared situation awareness amongst teams dealing with emergency situations. We have also identified that shared and team situation awareness tends to be viewed only in terms of cooperative task completion and so we have tried to describe their important relationship with team decision making. The applicability of our approaches is demonstrated by a case study of mass evacuation in the case of a tsunami event. We show how ontology can be used to represent context-based situations and how the axioms and rules can improve team situation awareness. |
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Address |
Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand; Joint Center of Disaster Research, Massey University, Wellington, New Zealand |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
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Track |
Analytical Information Systems |
Expedition |
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Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
621 |
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Author |
Yasir Javed; Tony Norris; David Johnston |
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Title |
Design approach to an emergency decision support system for mass evacuation |
Type |
Conference Article |
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Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
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Volume |
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Issue |
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Pages |
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Keywords |
Decision support systems; Design; Information science; Information systems; Ontology; Volcanoes; Edss; Emergency; Emergency decision makings; Emergency decision support; Evacuation; Human system interface; Information needs; Volcanic eruptions; Artificial intelligence |
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Abstract |
This paper is directed primarily to investigating the information needs of emergency managers following recognition of a risk of volcanic eruption. These needs include type of information required during the collection, integration, synthesis, presentation, and sharing of information. This will identify and model the processes underpinning the design of an emergency decision support system (EDSS). Exploration of the information needs, flows, and processes involved in emergency decision making can improve the design of EDSS both in terms of their content and the all-important human-system interfaces that determine their usability.The information attributes and flows then lead to the development of a prototype system that can be evaluated to test and refine the concepts. |
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Address |
Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand; Joint Centre of Disaster Research, Massey University, Wellington, New Zealand |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
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Medium |
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Track |
Poster Session |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
622 |
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Author |
Yasir Javed; Tony Norris |
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Title |
Computerized system to enhance situation awareness: Key challenges associated with the design, evaluation, and extension of a prototype |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
951-961 |
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Keywords |
Design; Information systems; Risk management; Tsunamis; Computer-based system; Computerized systems; Emergency management; Production environments; Saver; Simulated experiments; Situation awareness; Team situation awareness; Human resource management |
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Abstract |
Successful decision making and task execution in emergency management require appropriate levels of situation awareness (SA). This paper proposes an ontology-based model for the design of a computer-based system, Situation Aware Vigilant Emergency Reasoner (SAVER) that supports the individual, shared and team SA of managers in emergency situations. SAVER is evaluated in simulated experiments that demonstrate the improvements in SA performance. The paper provides a complete description of the SAVER design, implementation, evaluation and its proposed extension from a proof-of-concept to a production environment. |
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Address |
Department of Management Sciences, Institute of Information Technology, COMSATS, Abbottabad, Pakistan; Institute of Information and Mathematical Sciences, Massey University, Auckland, New Zealand |
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Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Open Track |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
623 |
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Author |
Yan, S. |
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Title |
Design of enterprise crisis predicting system based on cluster and outlier data mining |
Type |
Conference Article |
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Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
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Volume |
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Issue |
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Pages |
143-145 |
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Keywords |
Forecasting; Industry; Information systems; Statistics; Cluster; Crisis predicting system; Frame construction; Working process; Data mining |
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Abstract |
In order to solve such problems as half-structured and non-structured data analysis in enterprise crisis predicting system, a predicting system based on cluster and outlier data mining is put forward. The system organization, frame construction, function and working principles are illustrated. And the working process is showed by an example of cheat predicting. The experimental results show that this method is efficient and it is a new way to solve such problems. |
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Address |
School of Economics and Management, Harbin Engineering University, 150001, China |
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Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
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Track |
POSTER SESSION |
Expedition |
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Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
1117 |
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Author |
Yan Song; Yao Hu |
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Title |
Group decision-making method in the field of coal mine safety management based on AHP with clustering |
Type |
Conference Article |
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Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
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Volume |
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Issue |
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Pages |
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Keywords |
Analytic hierarchy process; Cluster analysis; Coal mines; Hierarchical systems; Information systems; Analytic hierarchy process (ahp); Coal mine safety; Group decision-making; Knowledge and experience; Safety management; Decision making |
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Abstract |
The complex and changeful system of coal mine increases the difficulty and importance of its decision-making. Individual decisions sometimes can not bring satisfactory outcomes since the decision need broad knowledge and experience which is not in single field but related to many domains of economics, sociology, logic, etc. To improve the validity and objectivity of decision-making, the group decision-making method is feasible and necessary since it can collect more intelligence to choose and judge together. This paper synthetically analyzes the content and characteristic of decision-making in the field of coal mine safety. A methodology for group decision-making using analytic hierarchy process (AHP) with cluster analysis is proposed accordingly. Then a case study using the method indicates that it is effective and helpful to improve the level of decision-making in the field of coal mine safety management in China. |
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Address |
School of Economics and Management, Harbin Engineering University, Harbin 150001, China |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Collaboration and Social Networking |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
967 |
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Author |
Yan Song |
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Title |
Crisis detection in enterprises based on AHP with clustering |
Type |
Conference Article |
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Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
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Volume |
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Issue |
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Pages |
24-29 |
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Keywords |
Decision making; Hierarchical systems; Industry; Information systems; Signal detection; Ahp; AHP method; Crisis pre-response; Group decision-making; System cluster; Competition |
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Abstract |
Crisis detection can help enterprises to make full preparation to respond real crisis, so it is an important field to promote enterprises' competition and keep them develop continuously. Crisis in enterprises may be caused by many factors and most of them are very common and necessary parts in normal operating procedure. This paper takes these parts as crisis signals indicated in many managing books. Group decision-making strategy is put forward to help enterprises to analyze crisis signals based on the characteristics of the decision-making procedure. To get a meaningful and credible result, AHP is used to support the whole procedure. To exhibit the role of managers, system cluster is used to classify experts involved in decision-making procedure. An example to analyze a key engineer's dismissing is given to illustrate the decision-making procedure and to prove the efficiency of this idea and AHP method. |
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Address |
School of Economics and Management, Harbin Engineering University, Harbin Institute of Technology, China |
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Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
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Track |
Position and Research in Progress Papers |
Expedition |
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Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
|
Serial |
966 |
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Author |
Xiaofeng Hu; Shifei Shen; Jiansong Wu |
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Title |
Modeling of attacking and defending strategies in situations with intentional threats |
Type |
Conference Article |
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Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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Volume |
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Issue |
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Pages |
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Keywords |
Decision theory; Game theory; Information systems; Risk assessment; Targets; Attacking strategy; Intentional threats; Matrix game; Scientific basis; Strategic game; Strategy; Decision making |
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Abstract |
Intentional threats including terrorism have become a worldwide catastrophe risk since recent years. To protect the cities from being attacked, the macro-level study of decision analysis should be given more considerations. In this paper, we proposed a model for describing the strategic game between attackers and defenders based on the methodology of matrix game. This model can be employed to determine which target will be selected by attackers and which attacking strategy and defending strategy will be chosen by attackers and defenders respectively. Furthermore, the defenders of the city can use this model to set priorities among their defending strategies. The importance of this work is to establish a reasonable framework for modeling the attacking and defending strategies rather than assessing the real risk of urban targets, so the model is illustrated by using fictitious numbers. The model proposed in this paper can provide scientific basis for macroscopic decision making in responding to intentional threats. © 2012 ISCRAM. |
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Address |
Tsinghua University, China |
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Corporate Author |
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Thesis |
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Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
|
Approved |
no |
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Call Number |
|
Serial |
133 |
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Author |
Xiang Yao; Murray Turoff; Starr Roxanne Hiltz |
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Title |
A field trial of a collaborative online scenario creation system for emergency management |
Type |
Conference Article |
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Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
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Volume |
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Issue |
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Pages |
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Keywords |
Civil defense; Design; Disasters; Information systems; Business continuity planning; Collaboration support; Collaborative systems; Emergency management; Emergency scenario; Evaluation methods; Knowledge structures; Scenarios; Risk management |
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Abstract |
In Emergency Management and Business Continuity Planning, scenarios are a widely used tool. Existing scenario creation systems allow distributed groups to create scenarios together but have limited collaboration support. This study developed and evaluated a solution to provide various types of collaboration support around a knowledge structure at the core of a collaborative scenario creation system called Collario. Following the Design Science paradigm, it evolved through four iterations into a working prototype. Several evaluation methods, including protocol analysis and field study, were employed to evaluate the design effects and obtain user feedback. The results of the first field trial are described in this paper. They indicate that the system is useful to support creation and discussion of emergency scenarios in virtual teams and to share knowledge and experiences among geographically distributed emergency professionals and researchers. It was also found that the system is not hard to learn and use. |
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Address |
New Jersey Institute of Technology, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
|
Medium |
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Track |
Collaboration and Social Networking |
Expedition |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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|
Notes |
|
Approved |
no |
|
|
Call Number |
|
Serial |
1127 |
|
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|
Author |
Xiang Yao; Murray Turoff; Michael J. Chumer |
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Title |
Designing a group support system to review and practice emergency plans in virtual teams |
Type |
Conference Article |
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Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
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Volume |
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Issue |
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Pages |
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Keywords |
Civil defense; Decision support systems; Information systems; Agile solutions; Continuous review; Emergency plans; Emergency preparedness; Face-to-face interaction; Group support systems; Scenario; Virtual team; Groupware |
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Abstract |
In the 21st century, rapid changes of our society necessitate continuous review and practice of emergency plans. Traditional face-to-face (FtF) interactions to make emergency plans and train responders seem insufficient. The virtual team (VT), a new team form allowing dynamic recruitment of experts from global extent and conduction of teamwork whenever it is needed, provides a more agile solution. This paper introduces a group support system called Collario (Collaborative Scenario) aiming to facilitate effective collaboration in creating and discussing scenarios in VTs and to utilize scenarios as the vehicle to review and practice emergency plans on a continuous basis. This research is still in progress. Three professionals have been involved in system demonstrations and interviews. Although it is still too early to make any conclusions, it is encouraging to know that all the three experts thought Collario easy to use and might be useful for various emergency preparedness purposes. |
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Address |
New Jersey Institute of Technology, United States |
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Corporate Author |
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Thesis |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
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Track |
Collaboration and Social Networking |
Expedition |
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Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1126 |
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Author |
X.L. Zhang; Jian Guo Chen; Guofeng Su; Hongyong Yuan |
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Title |
Study on source inversion technology for nuclear accidents based on gaussian puff model and ENKF |
Type |
Conference Article |
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Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
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Volume |
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Issue |
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Pages |
634-639 |
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Keywords |
Gaussian distribution; Information systems; Kalman filters; Nuclear power plants; Emergency response systems; Ensemble Kalman Filter; Gaussian puff model; Nuclear accidents; Source characteristics; Source inversion; Source term estimation; Source terms; Nuclear reactor accidents |
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Abstract |
For nuclear power plant (NPP) accident, the assessment of the radiation consequences plays an important role in the emergency response system. However, the source characteristics which greatly influence thhe accuracy of the assessment result is poorly known or even unknown at the early phase of accident, wich can cause poorly understanding of the situation and delay the response activities. In this paper, source inversion technology in analyzing nuclear accidents based on Gaussian puff model and ensemble Kalman filter (EnKF) is proposed. The method is validated with simulated measurements and the results show that it can give reasonable estimations of the change in release rate and height simultaneously, though the first guess of release rate is 102 larger than the true value. The investigation of the influence of sharp change in source term shows that the method is robust to capture the sharp change, but there is a delay of response when the release height increases simultaneously. |
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Address |
Institute of Public Safety Research, Tsinghua, China |
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Corporate Author |
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Thesis |
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Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
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Track |
Analytical Modelling and Simulation |
Expedition |
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Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
1148 |
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Author |
Wolfgang Raskob; Valentin Bertsch; Jutta Geldermann.; Sandra Baig; Florian Gering |
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Title |
Demands to and experience with the decision support system rodos for off-site emergency management in the decision making process in Germany |
Type |
Conference Article |
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Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
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Volume |
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Issue |
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Pages |
269-278 |
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Keywords |
Accidents; Civil defense; Decision making; Decision support systems; Disasters; Information systems; Risk management; Sensitivity analysis; Decision making process; Emergency management; Emergency situation; Integrated evaluation; Multi-criteria decision analysis; Multi-criteria evaluation; Radiological accidents; Stakeholder involvement; Artificial intelligence |
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Abstract |
Emergency situations, man-made as well as natural, can differ considerably. However, they share the characteristic of sudden onset, involve complex decisions and necessitate a coherent and effective emergency management. In the event of a nuclear or radiological accident in Europe, the real-time on-line decision support system RODOS provides support from the early phase through to the medium and long-term phases. This paper describes the demands to a Decision Support System from a user-centred view as well as experiences gained from conducting moderated decision making workshops based on a hypothetical accident scenario focusing on the evaluation of long-term countermeasures using the simulation capabilities of the RODOS system and its recently integrated evaluation component Web-HIPRE, a tool for multi-criteria decision analysis (MCDA). |
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Address |
Forschungszentrum Karlsruhe (FZK), IKET, Karlsruhe, Germany; University of Karlsruhe (TH), DFIU, Karlsruhe, Germany; Federal Office for Radiation Protection (BfS), Germany |
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Corporate Author |
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Thesis |
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Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
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Track |
NUCLEAR EMERGENCY MANAGEMENT |
Expedition |
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Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
869 |
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