Records |
Author |
Xiaofeng Hu; Shifei Shen; Jiansong Wu |
Title |
Modeling of attacking and defending strategies in situations with intentional threats |
Type |
Conference Article |
Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
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 |
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. |
Address |
Tsinghua University, China |
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 |
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 |
Notes |
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Approved |
no |
Call Number |
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Serial |
133 |
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Author |
Tongshen Zheng; Shunjiang Ni; Shifei Shen; Yan Wang; Yang Tai |
Title |
Numerical Study of Radioactive Pollutants Dispersion in Radioactive ?Dirty Bomb? Events |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Atmospheric Dispersion; Radioactive ?Dirty Bomb?; Configurations of Building; Concentration Distribution; Emergency Response |
Abstract |
The simulation of radioactive pollutants dispersion is critical for emergency response of the nuclear terrorism. The radioactive ?dirty bomb?, also called radiological dispersion device (RDD), produced and used by the terrorist to make fearful and radioactive pollution in general, has a great risk on humans. Numerical investigation of the impact of different configurations on radioactive pollution release and dispersion in urban buildings is made in this paper. The numerical simulations used the OpenFOAM, a free and open source software for computational fluid dynamics (CFD), and the simulations can be implanted to the information system of the nuclear terrorism emergency decision support system(EDSS) as the consequence assessment subsystem conveniently. The study showed that the configurations of building canyon and the position relationship of the source item and the buildings both affect the concentration distributions around the buildings. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3403 |
ISBN |
978-84-608-7984-24 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1343 |
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Author |
Haitao Sun; Zhiru Wang; Guofeng Su; Jianguo Chen |
Title |
Topological Structure Vulnerability Assessment of Shanghai Urban Metro Networks |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Urban Metro Networks; Vulnerability; Robustness; Target Attack; Random Failure |
Abstract |
Topological structure vulnerability assessment approach for Urban Metro Networks (UMNS) was proposed in order to decrease the impact caused by incidents. Failure scale of stations and sections random failure and target attacks was evaluated. The results show that UMNS is more vulnerable to target attacks on stations than random failure on stations. But UMNS is less vulnerable to target attacks on sections than random failure on sections. Additionally, UMNS is more vulnerable to station failure than sections. It could be concluded as more resources should be put on big transfer stations in UMNS operation management to avoid large scale impacts. The proposed methodology is not intended to predict the occurrence of events but rather to be used a management tool. Results from the evaluation are valuable elements in planning UMNS. They can be used for network planning, further detailed hazard studies, deciding on the arrangement of emergency resources. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3401 |
ISBN |
978-84-608-7984-22 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1341 |
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Author |
Daniel Iland; Elizabeth Belding |
Title |
Dynamic, Data-Driven Optimization of Solar Powered Charging Kiosks for Crisis Response |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Solar Power; Charging Kiosk; Emergency Power; Current Limiting; Rapid Reconfiguration |
Abstract |
In this paper, we describe methodologies for using portable, solar powered charging kiosks to provide mobile phone charging to communities following a disaster. We do not strive to provide a comprehensive alternative to grid power, rather we focus on charging mobile phones and other battery-powered devices. The small size of portable solar systems come with a trade-off: demand for power may exceed battery capacity and solar power generation. In such cases, power output must be regulated in order to maintain the functionality of the system, or the system may be modified to produce more power by adding more solar panels, or to store more power by adding additional batteries. We model user demand for power and kiosk power generation, battery status, and power output to inform the development, deployment, operation and reconfiguration of such kiosks following a disaster. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3400 |
ISBN |
978-84-608-7984-21 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1340 |
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Author |
Yi Xiong; Weiping Si; Xia Wu |
Title |
Analysis of Emergency Response for Accident of Oil and Gas Pipeline Based on Stochastic Petri Net |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Emergency Response; Oil and Gas Pipeline Accident; Performance; SPN |
Abstract |
Emergency response plays an important role in reducing the loss of an accident. And the excellent plan is important to ensure the high efficiency of the emergency response system. However, actions of emergency response arranged in emergency plan can hardly be assessed before the plan is used. Stochastic Petri Net (SPN) is proposed to analyze the performance of emergency response for oil and gas pipeline accident. The results show that the average execution time of SPN model can be used to evaluate effectiveness of emergency response. Then place average mark number indicates that emergency decision-making is the most important segment to optimize emergency work flow. And utilization rate of transition shows that decreasing the cost time of maintenance is the key to improve efficiency of emergency response. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3399 |
ISBN |
978-84-608-7984-20 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
1339 |
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Author |
Victor A. Bañuls; Cristina López-Vargas; Fernando Tejedor; Murray Turoff; Miguel Ramirez de la Huerga |
Title |
Validating Cross-Impact Analysis in Project Risk Management |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Scenarios; Cross-Impact Analysis (CIA); Interpretive Structural Modeling (ISM); Risk Events; Project Management |
Abstract |
Companies work increasingly more on projects as a means of executing organizational decisions. However, too many enterprise projects result in failure. Hence, firms should follow a risk management method that drives their projects toward success. Nevertheless, project managers often deal with risks intuitively. This is partly because they lack the proper means to correctly manage the underlying risks which affect the entire cycle of their projects. Therefore, one purpose is to identify the critical events that managers may encounter before the beginning of the project and during its development. In addition, we propose CIA-ISM to represent existing relationships between the unforeseen events in the project?s lifetime and their key performance indicators. This also predicts the influence of risks on project performance over time by means of scenarios. The tool proposed would thus help practitioners to manage enterprise projects risks in a more effective and proactive way. We have validated the predictive capability of the CIA-ISM model with 22 real projects. The results show a high level of predictive capability in terms of risk analysis and key performance indicators. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
978-84-608-7984-8 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
1338 |
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Author |
Mark Parent; Jean-François Gagnon; Tiago H. Falk; Sébastien Tremblay |
Title |
Modeling the Operator Functional State for Emergency Response Management |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Emergency Management; Simulation; Operator Functional State; Mental Workload; Stress |
Abstract |
New technologies are available for emergency management experts to help them cope with challenges such as information overload, multitasking and fatigue. Among these technologies, a wide variety of physiological sensors can now be deployed to measure the Operator Functional State (OFS). To be truly useful, such measures should not only characterize the overall OFS, but also the specific dimensions such as stress or mental workload. This experiment aimed to (1) design a multi-dimensional model of OFS, and (2) test its application to an emergency management situation. First, physiological data of participants were collected during controlled experimental tasks. Then, a support vector classifier of mental workload and stress was trained. Finally, the resulting model was tested during an emergency management simulation. Results suggest that the model could be applied to emergency management situations, and leave the door open for its application to emergency response on the field. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3398 |
ISBN |
978-84-608-7984-19 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
1337 |
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Author |
Takuya Oki; Toshihiro Osaragi |
Title |
Wide-area Evacuation Difficulty in Densely-built Wooden Residential Areas |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Large Earthquake; Wide-area Evacuation Difficulty; Property Damage; Multi-Agent Simulation; Densely-built Wooden Residential Area |
Abstract |
In aiming to decrease the number of casualties and people with difficulty in wide-area evacuations due to a large earthquake, it is highly important to visualize and quantify the potential danger in residential areas. In this paper, we construct a multi-agent simulation model, which describes property damage (such as building-collapse, the spread of fire and blocking of streets) and people?s evacuation behavior after an earthquake occurring. Using this simulation model, we quantify the wide-area evacuation difficulty in densely-built wooden residential areas, and evaluate the past project to improve buildings and streets based on this indicator. Furthermore, we demonstrate the effects of adding new evacuation routes between two intersections of streets with narrow width and long distance. Through these case studies, the effectiveness of our simulation model on urban disaster mitigation planning is shown. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3397 |
ISBN |
978-84-608-7984-18 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1336 |
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Author |
Michael Bartolacci; Stanko Dimitrov |
Title |
A Network Interdiction Perspective for Providing Emergency Communications: An Analysis for Promoting Resiliency Subject to Resource Constraints and Security Concerns |
Type |
Conference Article |
Year |
2016 |
Publication |
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2016 |
Volume |
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Issue |
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Pages |
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Keywords |
Emergency Communications; Network Interdiction Model |
Abstract |
Disasters, whether natural or manmade, and other types of emergencies create the need for immediate and secure communications between and among the affected populace, governmental agencies, non-governmental organizations (NGOs) and other types of emergency responders. It is through these communications that the affected populace is able to show resilient behavior, both psychologically and economically. A network interdiction model is proposed that can be utilized to create a more reliable design for such a communications network against the motives of would-be attackers whose aim it is to disrupt emergency communications and inflict damage on the affected populace. The contribution of this work is the application of the network interdiction modeling framework to an emergency communication scenario. |
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Corporate Author |
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Thesis |
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Publisher |
Federal University of Rio de Janeiro |
Place of Publication |
Rio de Janeiro, Brasil |
Editor |
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto |
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 |
2411-3402 |
ISBN |
978-84-608-7984-23 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
13th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
1342 |
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Author |
Jacob L. Graham; Mark B. Stephens |
Title |
Analytic Decision Gaming – A Tool to Develop Crisis Response and Clinical Reasoning |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
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Issue |
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Pages |
60-68 |
Keywords |
Clinical reasoning, crisis response, medical school, scenario-based training, analytic decision game. |
Abstract |
Emerging threats provide motivation to develop new methods for preparing the next generation of crisis responders. Bayesian theory shifts reasoning toward a probabilistic, epistemic paradigm, giving rise to Evans' revised heuristic-analytic theory. Researchers at The Pennsylvania State University use scenario-based training and the analytic decision game (ADG) to blend and implement these processes as foundational pedagogy for engaging, educating and training medical students as crisis responders and critical thinkers. The ADG scenarios vary by content and level of expertise, lending themselves readily adaptable to both crisis response preparation and the development of clinical reasoning. The ADG creates a virtual crisis requiring participants to engage in scenario management as role-players. For the past two years, medical students from the Penn State College of Medicine, in their first year of training, have participated in the ADG Lights Out scenario, testing community preparation and resilience after a wide-spread and months-long power outage. |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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 |
978-0-692-12760-5 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
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Serial |
2089 |
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Author |
Toshihiro Osaragi |
Title |
Crowding of Various Facilities Relevant to Supporting People Who Have Difficulty Returning Home after a Large Earthquake |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
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Issue |
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Pages |
45-59 |
Keywords |
Large earthquake, difficulty in returning home, temporary shelter, support station for people returning home on foot, crowding |
Abstract |
When a large earthquake occurs, many people are presumed to have difficulty in returning home. However, no research has been achieved yet to discuss the congestion of supporting facilities for stranded people in terms of site, the number and spatial distribution. In this study, we construct a simulation model, which describes people's behavior such as returning home or going to other facilities after an earthquake occurs. Using the model, we estimate the congestion of facilities which varies according to day of the week or the time when the event occurs, and demonstrate the effective methods for reducing the congestion, which include offering information for people and cooperation of private institutions. |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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 |
978-0-692-12760-5 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
2090 |
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Author |
Gerhard Rauchecker; Guido Schryen |
Title |
Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
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Issue |
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Pages |
69-82 |
Keywords |
Coordination of spontaneous volunteers, volunteer coordination system, decision support, scheduling optimization model, linear programming |
Abstract |
When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system, which we develop in joint cooperation with a disaster management authority and a software development company. |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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 |
978-0-692-12760-5 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
2091 |
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Author |
Flavio Dusse; Renato Novais; Manoel Mendonça |
Title |
Investigating the Use of Visual Analytics to Support Decision-Making in Crisis Management: A Multi-Method Approach |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
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Issue |
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Pages |
83-98 |
Keywords |
Data Collection Methods, Crisis Management, Decision-Making, Visual Analytics. |
Abstract |
Like Crisis Management (CM) itself, Visual Analytics (VA) is a multi-disciplinary research area and is potentially useful to analyze and understand the huge amount of multidimensional data produced in a crisis. Our work investigates how researchers and practitioners are using VA in decision-making in CM. This paper firstly reports on a systematic mapping study to analyze the available information visualization tools and their applications in CM. To complement this information, we report on questionnaires and ethnographic studies applied during the large events held in Brazil in recent years. Then, we analyzed existing tools for visualizing crisis information. Lastly, we analyzed the data gathered from interviews with six professional crisis managers. The compiled results show that the full potential of VA is not being applied in the state-of-the-art and state-of-the-practice. We consider that further researches in the application of VA is required to improve decision-making processes in crisis management. |
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Corporate Author |
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Thesis |
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Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
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 |
978-0-692-12760-5 |
Medium |
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Track |
Analytical Modeling and Simulation |
Expedition |
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Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
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Approved |
no |
Call Number |
|
Serial |
2092 |
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Author |
Xiaoyong Ni; Hong Huang; Shiwei Zhou; Boni Su; Jianchun Zheng; Wei Zhu; Huali Liu |
Title |
Simulation of The Urban Waterlogging and Emergency Response Strategy at Subway Station's Entry-exit Platform in Heavy Rainstorm |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
|
Issue |
|
Pages |
99-120 |
Keywords |
Simulation, urban waterlogging, subway stations, emergency response strategy |
Abstract |
Underground space like subway stations is prone to be flooded which can lead to severe and unpredictable damage and even threaten human lives. In this paper, four groups of contrastive simulation of urban waterlogging at two subway stations' entry-exit platforms in heavy rainstorm are conducted, and emergency response strategies are suggested. A waterlogging simulation method named UPFLOOD based on shallow water equations is proposed considering complex topography. It has been found that the waterlogging at subway station's entry-exit platforms is easily influenced by several factors and the site selection of the subway stations is very important. A disaster process construction method based on PN model is proposed and it has been found that the response strategies including plugging, drainage and evacuation are important for disaster mitigation. This study helps decision makers to response quickly to meet the emergency of the waterlogging disaster at subway stations caused by heavy rainstorm. |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2093 |
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Author |
Lida Huang; Guoray Cai; Hongyong Yuan; Jianguo Chen; Yan Wang; Feng Sun |
Title |
Modeling Threats of Mass Incidents Using Scenario-based Bayesian Network Reasoning |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
|
Issue |
|
Pages |
121-134 |
Keywords |
Bayesian network, mass incidents, threat assessment, scenario analysis, interpretive structural modeling. |
Abstract |
Mass incidents represent a global problem, putting potential threats to public safety. Due to the complexity and uncertainties of mass incidents, law enforcement agencies lack analytical models and structured processes for anticipating potential threats. To address such challenge, this paper presents a threat analysis framework combining the scenario analysis method and Bayesian network (BN) reasoning. Based on a case library |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2094 |
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Author |
Miriam Klein; Eric Rigaud; Marcus Wiens; Anouck Adrot; Frank Fiedrich; Nour Kanaan; Andreas Lotter; Farnaz Mahdavian; Yannic Schulte; Frank Schultmann |
Title |
A Multi-Agent System for Studying Cross-Border Disaster Resilience |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
|
Issue |
|
Pages |
135-144 |
Keywords |
Multi-agent system, disaster resilience, coordination procedures, cross-border cooperation, volunteer management |
Abstract |
Resilience to disasters depends on measures taken before, during and after the occurrence of adverse events. These measures require interactions between people belonging to different organizations (public, private, non-profit) and citizens in normal and stressful situations. The efficiency of resilience measures results from the collective interaction of individuals, groups of individuals, and organizations, as well as the situational characteristics of the decision environment. The aim of the French-German research project INCA is to develop a decision support framework for improving cross-border area resilience to disasters. This project comprises the design and the implementation of a multi-agent system with the objective to study the behavioral and organizational implications of cross-border cooperation for crisis management and disaster resilience. The analyzed measures focus on citizens who require medical support and the integration of volunteers into the crisis management procedure. This paper outlines the potentials of the multi-agent system and provides first implementation insights. |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2095 |
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Author |
Lauren Bateman; Erica Gralla |
Title |
Evaluating Strategies for Intra-Organizational Information Management in Humanitarian Response |
Type |
Conference Article |
Year |
2018 |
Publication |
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2018 |
Volume |
|
Issue |
|
Pages |
145-157 |
Keywords |
information management, agent based model, humanitarian response |
Abstract |
Information management is critical in humanitarian response, yet intra-organizational information management practices have not been well-studied. This paper evaluates several strategies for intra-organizational information management. An agent-based model represents the dynamics of information-gathering and -sharing, in order to examine the impact of each strategy on (1) the time required to acquire adequate information for decision-making and (2) the amount of excess information acquired in the process. The results show that holding regular information-sharing meetings significantly reduces the time to acquire adequate information, but does not reduce information overload; however, deploying an information management specialist reduces both time required and information overload. The results support recommendations for humanitarian organizations deciding how to improve their internal information management approaches. |
Address |
|
Corporate Author |
|
Thesis |
|
Publisher |
Rochester Institute of Technology |
Place of Publication |
Rochester, NY (USA) |
Editor |
Kees Boersma; Brian Tomaszeski |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
2411-3387 |
ISBN |
978-0-692-12760-5 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management |
Notes |
|
Approved |
no |
Call Number |
|
Serial |
2096 |
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Author |
Toshihiro Osaragi |
Title |
Accessibility Evaluation of Specific Emergency Transportation Roads and Benefits of Seismic Retrofits on Buildings Adjoining Roads |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
143-156 |
Keywords |
Accessibility of Emergency Vehicle, Specific Emergency Transportation Road, Quake-Resistant-Conversion of Building, Large Earthquake. |
Abstract |
Securing the accessibility of emergency vehicles using specific emergency transportation road (SETR) is crucial for the rapid activities of emergency vehicles after a large earthquake. In this paper, we construct a simulation model that describes collapse of roadside buildings and following street blockages, and evaluate the accessibility of emergency vehicles. Performing the simulations, we demonstrate the effects of quake-resistant-conversion of roadside buildings as follows: (1) the accessibility of emergency vehicles using SETR is not good enough under the current situation, but (2) can be significantly improved by performing seismic retrofit of buildings according to seismic index of building structure. |
Address |
Tokyo Institute of Technology |
Corporate Author |
|
Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-14 |
ISBN |
2411-3400 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
osaragi.t.aa@m.titech.ac.jp |
Approved |
no |
Call Number |
|
Serial |
2215 |
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Author |
Flavio Dusse; Renato Novais; Manoel Mendonça |
Title |
A Visual Analytics Based Model for Crisis Management Decision-Making |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
157-166 |
Keywords |
Crisis Management, Decision-Making, Visual Analytics, Model. |
Abstract |
Crisis Management (CM) refers to the ability to deal with crisis tasks in different phases and iterations. People working in a crisis are generally under pressure to make the right decision at the right time. They must process large amounts of data and assimilate the received information in an intuitive way. Visual Analytics (VA) is potentially useful to analyze and understand the huge amount of data in several areas including in a crisis. We propose a model based on VA to support decision-making in CM. The aim of the model is to help visualization designers to create effective VA interfaces, to help crisis managers to make quick and assertive decisions with them. In previous studies, we carried out a survey protocol with a multi-method approach to collect data on crisis related decision-making and analyze all these data qualitatively with formal techniques during the large events held in Brazil in recent years. In this work, we used our previous findings to develop the proposed model. We validated it using the focus group technique. With the new findings, we identified relevant insights on the use of VA for crisis management. We hope that, with these continuous cycles of validation and improvement, the agencies that manage crises might use our model as a reference for building more effective IT decision-making infrastructures based on VA. |
Address |
Federal University of Bahia; Federal Institute of Bahia; Federal University of Bahia |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
|
Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-15 |
ISBN |
2411-3401 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
dussebr@dcc.ufba.br |
Approved |
no |
Call Number |
|
Serial |
2216 |
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Author |
Erik Prytz; Anna-Maria Grönbäck; Krisjanis Steins; Craig Goolsby; Tobias Andersson Granberg; Carl-Oscar Jonson |
Title |
Evaluating the Effect of Bleeding Control Kit Locations for a Mass Casualty Incident Using Discrete Event Simulation |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
167-178 |
Keywords |
Simulation, Mass Casualty Incident, Tourniquet, Stop the Bleed, Bleeding Control Kit Placement. |
Abstract |
The purpose of this study was to develop a simulation model to evaluate bleeding control kit location strategies for a mass casualty incident scenario. Specifically, the event simulated was an explosion at a large sports arena. The model included a representation of the arena itself, simulated crowd movements following the detonation of an improvised explosive device, injuries and treatments, and different ways for immediate responders to help injured patients using tourniquets. The simulation model gave logically consistent results in the validation scenarios and the simulation outcomes were in line with the expected outcomes. The results of the different tourniquet location scenarios indicated that decentralized placement (more than one location) is better, easy access is important (between rather than at emergency exits) and that an increased number of available tourniquets will result in an increased number of survivors. |
Address |
Department of Computer and Information Science, Linköping University; Linköping University; Department of Science and Technology, Linköping University; Uniformed Services University of the Health Sciences; Department of Science and Technology, Linköping University; Center for Disaster Medicine and Traumatology, and Department of Biomedical and Clinical Sciences, Linköping University |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-16 |
ISBN |
2411-3402 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
Erik.prytz@liu.se |
Approved |
no |
Call Number |
|
Serial |
2217 |
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Author |
Laura Szczyrba; Yang Zhang; Duygu Pamukcu; Derya Ipek Eroglu |
Title |
A Machine Learning Method to Quantify the Role of Vulnerability in Hurricane Damage |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
179-187 |
Keywords |
Vulnerability, Impact, Damage, Machine Learning, Hurricane María. |
Abstract |
Accurate pre-disaster damage predictions and post-disaster damage assessments are challenging because of the complicated interrelationships between multiple damage drivers, including various natural hazards, as well as antecedent infrastructure quality and demographic characteristics. Ensemble decision trees, a family of machine learning algorithms, are well suited to quantify the role of social vulnerability in disaster impacts because they provide interpretable measures of variable importance for predictions. Our research explores the utility of an ensemble decision tree algorithm, Random Forest Regression, for quantifying the role of vulnerability with a case study of Hurricane Mar\'ia. The contributing predictive power of eight drivers of structural damage was calculated as the decrease in model mean squared error. A measure of social vulnerability was found to be the model's leading predictor of damage patterns. An additional algorithm, other methods of quantifying variable importance, and future work are discussed. |
Address |
Virginia Tech; Virginia Tech; Virginia Tech; Virginia Tech |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
|
Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-17 |
ISBN |
2411-3403 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
lszczyrba@vt.edu |
Approved |
no |
Call Number |
|
Serial |
2218 |
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Author |
Xiaoyan Zhang; Graham Coates; Sarah Dunn; Jean Hall |
Title |
Emergency Evacuation from a Multi-floor Building using Agent-based Modeling |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
188-199 |
Keywords |
Emergency Evacuation, Agent-based Modeling and Simulation, Multi-floor Building. |
Abstract |
This paper presents an overview of the ongoing research into the development of an agent-based model to enable simulations to be performed of agents evacuating from a multi-floor building with a complex layout, including staircases. Specifically, a flow field of navigation objects is constructed pre-computation, which stores the directions and shortest distances to all exits and staircases. Using the flow field, a navigation method is proposed for agents familiar with the environment to identify and follow the shortest route to a chosen exit. Preliminary simulations have been performed to investigate the effect on evacuation time of (i) exit configurations and (ii) familiarity of agents with the building layout. In assessing the effect of exit configurations, results show that the location of the main entrance has a significant influence on evacuation time. In addition, having more exits does not necessarily lead to a shorter evacuation time. In terms of the effect of familiarity of agents, having more agents with a greater level of familiarity does not significantly reduce evacuation time in most cases. |
Address |
Newcastle University; Newcastle University; Newcastle University; Newcastle University |
Corporate Author |
|
Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-18 |
ISBN |
2411-3404 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
X.Zhang110@newcastle.ac.uk |
Approved |
no |
Call Number |
|
Serial |
2219 |
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Author |
Anying Chen; Zhongliang Huang; Manchun Liang; Guofeng Su |
Title |
Empirical Study of Individual Evacuation Decision-making in Fire Accidents: Evacuate Intention and Herding Effect |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
200-209 |
Keywords |
Fire Accidents, Evacuation Experiment, Evacuate Intention, Herding Behaviors. |
Abstract |
People's decision of evacuating or not could greatly influence the final losses in fire accidents. In order to study people's response under emergent occasions, a fire accident evacuation drill experiment was conducted in an office building without advance notice. 113 Participants' response and their decision-making process were collected by questionnaire survey right after the experiment. In this study, we mainly focused on two aspects of people's response, including participants' evacuate intention and their herding tendency during evacuate decision-making. It is found that the classical Expected Utility Theory (EUT) has certain limitation in explaining individual's evacuation intention, but the relationship between the expected utility and the evacuation intention could be represented with a modified model based on EUT. Furthermore, the herding tendency is found to be different for the two groups of people who intend to evacuate and not to evacuate. People who firstly intend not to evacuate are more easily to form herding behavior and change their minds to evacuate. Based on these findings, models of individual evacuation intention and herding tendency for two groups of people are put forward. Simulation is conducted to investigate the effect of these two changes in people's evacuation decision-making process, and results show that they both increase the final evacuation rate, reflecting the majority's risk aversion characteristics. |
Address |
Tsinghua University;Tsinghua University; Tsinghua University; Tsinghua University |
Corporate Author |
|
Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
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 |
|
Edition |
|
ISSN |
978-1-949373-27-19 |
ISBN |
2411-3405 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
chenay15@mails.tsinghua.edu.cn |
Approved |
no |
Call Number |
|
Serial |
2220 |
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Author |
Milad Baghersad; Christopher W. Zobel; Ravi Behara |
Title |
Evaluation of Local Government Performance after Disasters |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
210-217 |
Keywords |
311 Services, Disaster, Municipal Departments, Resilience. |
Abstract |
Monitoring and evaluation can help organizations involved in disasters learn from their responses to prior events and improve their performance over time. Using a data set of non-emergency service requests in New York City (NYC), this paper provides a method to evaluate and compare the performance of local governments in terms of service request response times after different disaster events. In particular, the proposed method can be used to compare such performance across divisions or boroughs in a city. To illustrate this, we evaluate the performance in five of NYC's boroughs: the Bronx, Brooklyn, Manhattan, Queens, and Staten Island, across seven major natural disaster events from 2010 to 2012. Our analyses show that Queens and Brooklyn demonstrate better performance than the other boroughs in almost all of the seven events under consideration. |
Address |
Florida Atlantic University; Virginia Tech; Florida Atlantic University |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-20 |
ISBN |
2411-3406 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
mbaghersad@fau.edu |
Approved |
no |
Call Number |
|
Serial |
2221 |
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Author |
Eva Petitdemange; Elyes Lamine; Franck Fontanili; Matthieu Lauras |
Title |
Enhancing Emergency Call Centers' Performance Through a Data-driven Simulation Approach |
Type |
Conference Article |
Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
Volume |
|
Issue |
|
Pages |
218-227 |
Keywords |
Emergency Call Center, Performance, Simulation, Data-Driven, Continuous Improvement, Organization. |
Abstract |
Emergency Call Centers (ECCs) can be considered as the starting point of the pre-hospital emergency medical system. Although, ECCs exist everywhere, their business processes and their performance levels differ from one place to another, even sometimes in a same country. By definition, users expect a high level of performance, particularly regarding the waiting time and the processing time of the calls. Additionally, ECCs might have difficulties to manage sudden rise of activities following disasters impacting huge number of victims for instance. To support ECCs in their continuous improvement steps, this paper suggests an innovative framework and its associated tools to support both diagnosis of current organizations and enhancement of their performance. Concretely, the proposal is data-driven and simulation oriented. First experiments are shown in order to demonstrate the potential benefits of such an approach. Avenues for further research are also discussed. |
Address |
IMT Mines Albi, University of Toulouse; IMT Mines Albi, University of Toulouse; IMT Mines Albi, University of Toulouse; IMT Mines Albi, University of Toulouse |
Corporate Author |
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Thesis |
|
Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
|
Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
|
Series Issue |
|
Edition |
|
ISSN |
978-1-949373-27-21 |
ISBN |
2411-3407 |
Medium |
|
Track |
Analytical Modeling and Simulation |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
Notes |
eva.petitdemange@mines-albi.fr |
Approved |
no |
Call Number |
|
Serial |
2222 |
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