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Author Kui Wang; Jose Marti; Ming Bai; K.D. Srivastava pdf  isbn
openurl 
  Title Optimal decision maker algorithm for disaster response management with I2Sim applications 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 Issue Pages  
  Keywords Algorithms; Computer software; Disasters; Emergency services; Information systems; Lagrange multipliers; Optimization; Human-readable; I2Sim toolbox; Infrastructure interdependencies; Infrastructure resources; Infrastructures interdependencies; Optimization algorithms; Software simulation; University of British Columbia; Decision making  
  Abstract Disaster response management has become an important area of research in recent years, with authorities spending more resources in the area. Infrastructure resource interdependencies are key critical points for a system to operate optimally. After a disaster occurs, infrastructures would have sustained certain degrees of damage, the allocation of limited resources to maximize human survival becomes a top priority. The I2Sim (Infrastructures Interdependencies Simulator) research group at the University of British Columbia (UBC) has developed a software simulation toolbox to help authorities plan for disaster responses. This paper presents an optimization decision algorithm based on Lagrange multipliers, which provides the theoretical basis for I2Sim software decision maker layer. There is a simple scenario of three hospitals constructed with the I2Sim toolbox to illustrate the interdependencies of water and electricity. © 2012 ISCRAM.  
  Address  
  Corporate Author Thesis (up)  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 235  
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Author Felix Wex; Guido Schryen; Dirk Neumann pdf  isbn
openurl 
  Title Operational emergency response under informational uncertainty: A fuzzy optimization model for scheduling and allocating rescue units 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 Issue Pages  
  Keywords Artificial intelligence; Decision support systems; Fuzzy set theory; Information systems; Monte Carlo methods; Optimization; Computational evaluation; Coordination; Decision support models; Fuzzy optimization model; Heuristic solutions; Informational uncertainty; Linguistic assessment; Operational emergency; Scheduling  
  Abstract Coordination deficiencies have been identified after the March 2011 earthquakes in Japan in terms of scheduling and allocation of resources, with time pressure, resource shortages, and especially informational uncertainty being main challenges. We suggest a decision support model that accounts for these challenges by drawing on fuzzy set theory and fuzzy optimization. Based on requirements from practice and the findings of our literature review, the decision model considers the following premises: incidents and rescue units are spatially distributed, rescue units possess specific capabilities, processing is non-preemptive, and informational uncertainty through linguistic assessments is predominant when on-site units vaguely report about incidents and their attributes, or system reports are not exact. We also suggest a Monte Carlo-based heuristic solution procedure and conduct a computational evaluation of different scenarios. We benchmark the results of our heuristic with results yielded through applying a greedy approach. The results indicate that using our Monte Carlo simulation to solve the decision support model inspired by fuzzy set theory can substantially reduce the overall harm. © 2012 ISCRAM.  
  Address Albert-Ludwigs-Universität Freiburg, Germany; Universität Regensburg, Germany  
  Corporate Author Thesis (up)  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Intelligent Systems Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 238  
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Author Duncan T. Wilson; Glenn I. Hawe; Graham Coates; Roger S. Crouch pdf  isbn
openurl 
  Title Estimating the value of casualty health information to optimization-based decision support in response to major incidents 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 Issue Pages  
  Keywords Algorithms; Combinatorial optimization; Decision support systems; Information systems; Optimization; Accurate modeling; Computational experiment; Decision supports; Emergency response; Health informations; Optimization algorithms; Uncertain features; Work-in-progress; Emergency services  
  Abstract In this paper we describe a work-in-progress decision support program designed for use in the response to major incidents in the UK. The proposed program is designed for use in a continuous fashion, where the updating of its model, the search for solutions to the model through an optimization algorithm, and the issuing of these solutions are carried out concurrently. The model facilitates the inclusion of dynamic and uncertain features of emergency response. The potential of such an approach to deliver high-quality response plans through enabling more accurate modeling is evaluated through focusing on the case of casualty health information. Computational experiments show there is significant value in monitoring the dynamic and uncertain health progression of casualties and updating the model accordingly. © 2012 ISCRAM.  
  Address School of Engineering and Computing Sciences, Durham University, Durham, United Kingdom  
  Corporate Author Thesis (up)  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Track Decision Support Methods for Complex Crises Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 240  
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Author Michael R. Bartolacci; Christoph Aubrecht; Dilek Ozceylan Aubrecht pdf  isbn
openurl 
  Title A portable base station optimization model for wireless infrastructure deployment in disaster planning and management Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 50-54  
  Keywords Base stations; Disaster prevention; Disasters; Information systems; Mathematical models; Optimization; Wireless telecommunication systems; Ad hoc mobile networks; Cellular mobile networks; Disaster planning; Optimization modeling; Real-time management; Wireless communications; Wireless infrastructure deployments; Wireless telecommunications; Emergency services  
  Abstract Disaster response requires communications among all affected parties including emergency responders and the affected populace. Wireless telecommunications, if available through a fixed structure cellular mobile network, satellites, portable station mobile networks and ad hoc mobile networks, can provide this means for such communications. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and mobile network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures of the deployment or minimizing overall 'cost' (including time aspects) to deploy. This work-in-progress does not focus on the question of what entity will operate the portable base during a disaster, but on optimizing the placement of mobile base stations or similar network nodes for planning and real time management purposes. An optimization model is proposed for the staging and placement of portable base stations to support disaster relief efforts.  
  Address Pennsylvania State University – Berks, United States; AIT Austrian Institute of Technology, Austria; World Bank, United States; Sakarya University, Turkey  
  Corporate Author Thesis (up)  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Analytic Modeling and Simulation Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 294  
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Author Michael R. Bartolacci; Albena Mihovska; Dilek Ozceylan Aubrecht pdf  isbn
openurl 
  Title Optimization modeling and decision support for wireless infrastructure deployment in disaster planning and management Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 674-677  
  Keywords Base stations; Decision support systems; Disaster prevention; Disasters; Equipment; Information dissemination; Information systems; Mobile telecommunication systems; Optimization; Wireless networks; Communication solutions; Disaster planning; Optimization modeling; Real-time management; Wireless communications; Wireless infrastructure deployments; Wireless network optimizations; Wireless technologies; Wireless telecommunication systems  
  Abstract Natural disasters and emergencies create the need for communication between and among the affected populace and emergency responders as well as other parties such as governmental agencies and aid organizations. Such communications include the dissemination of key information such as evacuation orders and locations of emergency shelters. In particular, the coordination of efforts between responding organizations require additional communication solutions that typically rely heavily on wireless communications to complement fixed line infrastructure due to the ease of use and portability. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures of the deployment or minimizing overall cost to deploy. This work does not focus on the question of what entity will operate the portable base stations or wireless equipment utilized during a disaster, only the question of optimizing placement for planning and real time management purposes. This work examines current wireless network optimization models and points out that none of them include the necessary variables for a disaster planning or emergency deployment context. Due to the fact that the choice of wireless technology impacts the nature of an overall model, a brief discussion of exemplar wireless technologies is included. The work also proposes criteria that must be taken into account in order to have a useful model for deployment of mobile base stations and related wireless communications equipment.  
  Address Penn State University, Berks, United States; CTIF-Aalborg Univerity, Denmark; Sakarya University, Turkey  
  Corporate Author Thesis (up)  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Analytical Modelling and Simulation Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 295  
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Author Loïc Bidoux; Jean-Paul Pignon; Frédérick Bénaben pdf  isbn
openurl 
  Title A model driven system to support optimal collaborative processes design in crisis management Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 245-249  
  Keywords Algorithms; Benchmarking; Decision making; Inference engines; Optimization; Process design; Collaborative process; Crisis management; Inter-agencies coordination; Key performance indicators; Model-driven; Multi-criteria decision analysis; Optimization algorithms; Technical design; Information systems  
  Abstract This paper presents a system dedicated to support crises managers that is focused on the collaboration issues of the actors involved in the response. Based on context knowledge, decision makers' objectives and responders' capabilities, the system designs in a semi-automatic way a set of collaborative process alternatives that can optimize coordination activities during an ongoing crisis resolution. The technical design of the system mixes optimization algorithms with inference of logical rules on an ontology. Candidate processes are evaluated through multi-criteria decision analysis and proposed to the decision-makers with associated key performance indicators to help them with their choice. The overall approach is model driven through a crisis meta-model and an axiomatic theory of crisis management.  
  Address Mines Albi – Université de Toulouse, France; Thales Communications and Security, France  
  Corporate Author Thesis (up)  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Decision Support Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 325  
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Author Guido Bruinsma; Robert De Hoog pdf  isbn
openurl 
  Title Exploring protocols for multidisciplinary disaster response using adaptive workflow simulation Type Conference Article
  Year 2006 Publication Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2006  
  Volume Issue Pages 53-65  
  Keywords Aircraft accidents; Computer simulation; Disasters; Information systems; Adaptive workflow; Disaster response; Disaster simulation; Dynamic environments; Multi-Agent Model; Protocol optimization; Simulation environment; Work practices; Emergency services  
  Abstract The unique and dynamic changing nature in which a disaster unfolds forces emergency personnel involved with the mitigation process to be greatly flexible in their implementation of protocols. In past disasters the incapability of the disaster organization to swiftly adjust the workflow to the changing circumstances, has resulted in unnecessary delays and errors in mitigation. Addressing this issue, we propose and demonstrate a method for simulating disasters for work and protocol optimization in disasters response (TAID), based on the BRAHMS multi-agent modeling and simulation language. Our hypothesis is that this low fidelity simulation environment can effectively simulate work practice in dynamic environments to rearrange workflow and protocols. The results from an initial test simulation of the Hercules disaster at Eindhoven airport in the Netherlands look promising for future and broader application of our disaster simulation method.  
  Address University of Twente, Netherlands  
  Corporate Author Thesis (up)  
  Publisher Royal Flemish Academy of Belgium Place of Publication Newark, NJ Editor B. Van de Walle, M. Turoff  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9090206019; 9789090206011 Medium  
  Track REQUIREMENTS FOR EMERGENCY MANAGEMENT SYSTEMS Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 347  
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Author Tina Comes; Frank Schätter; Frank Schultmann pdf  isbn
openurl 
  Title Building robust supply networks for effective and efficient disaster response Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 230-240  
  Keywords Decision support systems; Disaster prevention; Disasters; Distribution of goods; Efficiency; Information systems; Optimization; Decision supports; Effectiveness; Humanitarian relief; Multi-criteria decision analysis; Optimisations; Supply networks; Emergency services  
  Abstract The effective and efficient distribution of relief goods is a key challenge in disaster management. Typically, adhoc supply networks (SNs) need to be built, in which various actors with different interests collaborate. Although information is sparse and highly uncertain, time for SN design is short, and important strategic decisions (e.g., location of facilities), whose revision requires investing substantial time, effort and resources, must be made promptly. This paper presents an iterative approach for the design of robust SNs that combines (i) an optimisation model to identify promising alternatives to be analysed in detail, (ii) a scenario-based approach to analyse the weaknesses of these alternatives and generate alternative solutions for comparison and benchmarking, and (iii) a decision support module for detailed comparisons and consensus building. By following the iterative approach, successively robust SNs are created to enable effective and efficient disaster response. We illustrate our approach by an example from the Haiti 2010 earthquake.  
  Address Institute for Industrial Production, KIT, Germany  
  Corporate Author Thesis (up)  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Decision Support Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 404  
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Author Mauro Falasca; Christopher W. Zobel; Gary M. Fetter pdf  isbn
openurl 
  Title An optimization model for humanitarian relief volunteer management Type Conference Article
  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  
  Volume Issue Pages  
  Keywords Information systems; Mathematical models; Optimization; Conflicting objectives; Humanitarian logistics; Humanitarian relief; Multi criteria decision making; Multicriteria optimization; Optimization modeling; Solution methodology; Workforce management; Decision making  
  Abstract One of the challenges of humanitarian organizations is that there exist limited decision technologies that fit their needs. It has also been pointed out that those organizations experience coordination difficulties with volunteers willing to help. The purpose of this paper is to help address those challenges through the development of a decision model to assist in the management of volunteers. While employee workforce management models have been the topic of extensive research over the past decades, no work has focused on the problem of managing humanitarian relief volunteers. In this paper, we discuss a series of principles from the field of volunteer management and develop a multi criteria optimization model to assist in the assignment of volunteers to tasks. We present an illustrative example and analyze a solution methodology where the decision maker exercises his/her preferences by trading-off conflicting objectives. Conclusions, limitations, and directions for future research are also discussed.  
  Address Dept. of Business Information Technology, Pamplin College of Business, Virginia Tech, 1007 Pamplin Hall, Blacksburg VA, 24061, United States  
  Corporate Author Thesis (up)  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Gothenburg Editor J. Landgren, S. Jul  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789163347153 Medium  
  Track Humanitarian Actions and Operations Expedition Conference 6th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 482  
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Author Gary M. Fetter; Mauro Falasca; Christopher W. Zobel; Terry R. Rakes pdf  openurl
  Title A multi-stage decision model for debris disposal operations Type Conference Article
  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  
  Volume Issue Pages  
  Keywords Artificial intelligence; Decision support systems; Information systems; Optimization; Stochastic programming; Clean-up operations; Debris cleanup; Decision makers; Decision modeling; Hurricane katrina; Initial resources; Multi-stage programming; Resource capacity; Debris  
  Abstract As shown by Hurricane Katrina, disposing of disaster-generated debris can be quite challenging. Extraordinary amounts of debris far exceeding typical annual amounts of solid waste are almost instantaneously deposited across a widespread area. Although the locations and amounts of debris can be easily summarized looking back after recovery activities have been completed, they are uncertain and difficult at best to estimate as debris operations begin to unfold. Further complicating matters is that the capacity of cleanup resources, which is dependent upon available equipment, labor, and subcontractors, can fluctuate during on-going cleanup operations. As a result, debris coordinators often modify initial resource assignments as more accurate debris estimates and more stable resource capacities become known. In this research, we develop a computer-based decision support system that incorporates a multi-stage programming model to assist decision makers with allocating debris cleanup resources immediately following a crisis event and during ongoing operations as debris volumes and resource capacities become known with increasing certainty.  
  Address Dept. of Business Information Technology, Pamplin College of Business, Virginia Tech, United States; Dept. of Information Systems and Operations Management, Sellinger School of Business, Loyola University Maryland, United States  
  Corporate Author Thesis (up)  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN Medium  
  Track Open Track Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 491  
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Author Jutta Hild; Jonathan Ott; Yvonne Fischer; Christian Glökler pdf  openurl
  Title Markov based decision support for cost-optimal response in security management Type Conference Article
  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  
  Volume Issue Pages  
  Keywords Continuous time systems; Costs; Decision making; Decision support systems; Industrial management; Information systems; Markov processes; User interfaces; Continuous-time markov decision process; Cost-optimal response; Decision support tools; Security management; Situation awareness; Optimization  
  Abstract In this contribution, we introduce a prototype of a decision support tool for cost-optimal response in security management. The threat situation of a closed infrastructure, exposed to multiple threats, and the corresponding response actions are modeled by a continuous-time Markov decision process (CMDP). Since the CMDP cannot be solved exactly for large infrastructures, the response actions are determined from a heuristic, based on an index rule. The decision support tool's user interface displays the infrastructure's current threat state and proposes the heuristic response actions to the decision maker. In this way, global situation awareness can be enhanced and the decision maker is able to initiate an almost cost-optimal response action in short time.  
  Address Fraunhofer IOSB, Germany; Karlsruhe Institute of Technology (KIT), Germany  
  Corporate Author Thesis (up)  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN Medium  
  Track Poster Session Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 580  
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Author Kostas Kolomvatsos; Kakia Panagidi; Stathes Hadjiefthymiades pdf  isbn
openurl 
  Title Optimal spatial partitioning for resource allocation Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 747-757  
  Keywords Algorithms; Disaster prevention; Disasters; Image segmentation; Information systems; Particle swarm optimization (PSO); Risk management; Disaster management; Emergency management; Emergency response; Intelligent techniques; Numerical results; Particle swarm optimization algorithm; Pso; Spatial partitioning; Resource allocation  
  Abstract Spatial partitioning consists of the problem of finding the best segmentation of an area under specific conditions. The final goal is to identify parts of the area where a number of resources could be allocated. Such cases are common in disaster management scenarios. In this paper, we consider such a scenario and propose a methodology for the resource allocation for emergency response. We utilize an intelligent technique that is based on the Particle Swarm Optimization algorithm. We define the problem by giving specific formulations and describe the proposed algorithm. Moreover, we provide a method for separating the area into cells and describe a technique for calculating cell weights based on the underlying spatial data. Finally, we present a case study for allocating a number of ambulances and give numerical results concerning the run time and the total coverage of the examined area.  
  Address Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece  
  Corporate Author Thesis (up)  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Planning and Foresight Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 658  
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Author P. Lin; S.M. Lo pdf  isbn
openurl 
  Title The application of quickest flow problem in urban evacuation planning Type Conference Article
  Year 2005 Publication Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2005  
  Volume Issue Pages 129-130  
  Keywords Geographic information systems; Information systems; Optimization; Analysis and evaluation; Evacuation planning; Evacuation plans; Evacuation routes; Flow problems; Optimization modeling; Time varying; Urban evacuation; Urban planning  
  Abstract The provision of evacuation plan for people living in populated urban area is necessary to reduce the possible casualties under disasters. Time-varying quickest flow problem (TVQFP), which can simultaneously optimize the evacuation schedule, evacuation locations and evacuation routes, is adopted to optimize the evacuation planning of a city to minimize the clearance time of residents in danger. The integration of optimization model with GIS environment enables emergency managers to easily identify possible bottlenecks and to observe evacuation patterns in vivid pictures for further analysis and evaluation.  
  Address Department of Building and Construction, City University of Hong Kong, Hong Kong  
  Corporate Author Thesis (up)  
  Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9076971099 Medium  
  Track POSTER SESSION Expedition Conference 2nd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 704  
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Author Ma Ma; Shengcheng Yuan; H. Zhang; Yi Liu pdf  isbn
openurl 
  Title Framework design for operational scenario-based emergency response system Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 332-337  
  Keywords Decision making; Information systems; Information technology; Social sciences; Dynamic optimization; Emergency response systems; Human behavior analysis; Human behaviors; Psychological effects; Psychological factors; Scenario; Social information processing; Design  
  Abstract The present paper introduces a scenario-based framework design for connecting emergency response system with human behavior analysis and social information processing, which aims at improving its comprehensive capability in dealing with unexpected situations caused by physical, social and psychological factors during a crisis. The overall framework consists of four function modules: Scenario awareness, scenario analysis, scenario evolvement and scenario response. A detailed function design for each module is presented as well as the related methodologies used for integration of four modules. The contribution of this paper includes two aspects. One is realizing the integration of incident evolution, information-spreading and decision-making by taking account of physical, social and psychological effects during emergency. The other is improving the efficiency of decisionmaking through dynamic optimization process.  
  Address Institute of Public Safety Research, Tsinghua University, Beijing, China  
  Corporate Author Thesis (up)  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Emergency Management Information Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 732  
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Author Thomas Münzberg; Marcus Wiens; Frank Schultmann pdf  isbn
openurl 
  Title A strategy evaluation framework based on dynamic vulnerability assessments Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 45-54  
  Keywords Climate change; Decision support systems; Flood control; Information systems; Linear programming; Multiobjective optimization; Risk perception; Decision supports; Evaluation framework; Flood management; Goal programming; Management strategies; Strategy evaluations; Test strategies; Vulnerability assessments; Risk assessment  
  Abstract Assessing a system's vulnerability is a widely used method to estimate the effects of risks. In the past years, increasingly dynamic vulnerability assessments were developed to display changes in vulnerability over time (e.g. in climate change, coastal vulnerability, and flood management). This implies that the dynamic influences of management strategies on vulnerability need to be considered in the selection and implementation of strategies. For this purpose, we present a strategy evaluation framework which is based on dynamic vulnerability assessments. The key contribution reported in this paper is an evaluation framework that considers how well strategies achieve a predefined target level of protection over time. Protection Target Levels are predefined objectives. The framework proposed is inspired by Goal Programming methods and allows distinguishing the relevance of time-dependent achievements by weights. This enables decision-makers to evaluate the overall performance of strategies, to test strategies, and to compare the outcome of strategies.  
  Address Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany; Institute for Industrial Production, Karlsruhe Institute of Technology, Germany  
  Corporate Author Thesis (up)  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Analytic Modeling and Simulation Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 798  
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Author Thomas Plagemann; Katrine S. Skjelsvik; Matija Puzar; Aslak Johannessen; Ovidiu Drugan; Vera Goebel; Ellen Munthe-Kaas pdf  isbn
openurl 
  Title Cross-layer overlay synchronization in sparse MANETs Type Conference Article
  Year 2008 Publication Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008  
  Volume Issue Pages 546-555  
  Keywords Information systems; Routers; Synchronization; Telecommunication networks; Cross layer optimization; Distributed events; Network partitions; Publish-subscribe; Rescue operations; Routing table; Sparse MANETs; Stable routing; Mobile ad hoc networks  
  Abstract Mobile Ad-Hoc Networks maintain information in the routing table about reachable nodes. In emergency and rescue operations, human groups play an important role. This is visible at the network level as independent network partitions which are for some time stable before their members change through merging or partitioning. We use the information from stable routing tables to optimize the synchronization of Mediators in a Distributed Event Notification System. In a stable partition each node has the same information, thus a single Mediator can efficiently coordinate the synchronization, while all other Mediators just receive updates. We show in our experiments that just a few seconds are needed until routing tables stabilize and all nodes have a common view of the partition. We present a heuristic to determine the proper time to synchronize. Furthermore, we show how exceptions, like disappearing coordinating Mediators and unexpected messages, can be efficiently handled.  
  Address Department of Informatics, University of Oslo, Norway  
  Corporate Author Thesis (up)  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Washington, DC Editor F. Fiedrich, B. Van de Walle  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780615206974 Medium  
  Track Adaptive Information Architectures for Interagency Crisis Management Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 844  
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Author Beate Rottkemper; Kathrin Fischer pdf  isbn
openurl 
  Title Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 647-657  
  Keywords Budget control; Decision making; Disasters; Information systems; Mathematical models; Multiobjective optimization; Recovery; Constraint methods; Decision making support; Disaster situations; Humanitarian logistics; Humanitarian operations; Multi objective decision making; Multi-objective optimization models; Scenario Planning; Emergency services  
  Abstract Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions.  
  Address Institute for or and is Hamburg, University of Technology, Germany  
  Corporate Author Thesis (up)  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Analytical Modelling and Simulation Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 895  
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Author Hussain Aziz Saleh pdf  isbn
openurl 
  Title Dynamic optimisation of the use of space technology for rapid disaster response and management Type Conference Article
  Year 2005 Publication Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2005  
  Volume Issue Pages 139-141  
  Keywords Algorithms; Artificial intelligence; Disaster prevention; Information systems; Optimization; Satellite ground stations; Disaster management; Disaster warnings; Dynamic optimisation; Intelligent Algorithms; Meta heuristics; Natural and man-made disasters; Real-world problem; Space technologies; Disasters  
  Abstract Modern space and information technologies provide valuable tools for the solution of many real-world problems in fields of managing effects of natural and man-made disasters, geomatic engineering, etc. Therefore, the need to develop and optimise the use of these technologies in an efficient manner is necessary for providing reliable solutions. This paper aims to develop powerful optimisation algorithms extending current highly successful ideas of artificial intelligence for developing of the disaster warning network which is a system of satellites and ground stations for providing real time early warning of the impact of the disaster and minimise its effects (e.g., earthquakes, landslides, floods, volcanoes, etc). Such intelligent algorithms can provide a degree of functionality and flexibility suitable both for constructing high-accuracy models and in monitoring their behaviour in real time.  
  Address Department of Civil Engineering, Faculty of Engineering, Ghent University, Krijgslaan 281 IDM, S8, B-9000 Gent, Belgium  
  Corporate Author Thesis (up)  
  Publisher Royal Flemish Academy of Belgium Place of Publication Brussels Editor B. Van de Walle, B. Carle  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9076971099 Medium  
  Track POSTER SESSION Expedition Conference 2nd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 905  
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Author Peter Serwylo; Paul Arbon; Grace Rumantir pdf  isbn
openurl 
  Title Predicting patient presentation rates at mass gatherings using machine learning Type Conference Article
  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  
  Volume Issue Pages  
  Keywords Artificial intelligence; Data mining; Forecasting; Information systems; Event Types; Heat indices; Machine learning techniques; Mass gathering; Optimization techniques; Predictive models; Predictive variables; Time of day; Learning systems  
  Abstract Mass gatherings have been defined as events where more than 1,000 people are present for a defined period of time. Such an event presents specific challenges with respect to medical care. First aid is provisioned on-site at most events in order to prevent undue strain on the local emergency services. In order to allocate enough resources to deal with the expected injuries, it is important to be able to accurately predict patient volumes. This study used machine learning techniques to identify which variables are the most important in predicting patient volumes at mass gatherings. Data from 201 mass gatherings across Australia was analysed, finding that event type is the most predictive variable, followed by the state or territory, heat index, humidity, whether it is bounded, and the time of day. Variables with little bearing on the outcome included the presence of alcohol, whether the event was indoors or outdoors, and whether it had one point of focus. The best predictive models produced acceptable predictions of the patient presentations 80% of the time, and this could be further improved using optimization techniques.  
  Address Monash University, Australia; Flinders University, Australia  
  Corporate Author Thesis (up)  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Planning and Foresight Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 938  
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Author Felix Wex; Guido Schryen; Dirk Neumann pdf  isbn
openurl 
  Title Intelligent decision support for centralized coordination during Emergency Response Type Conference Article
  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  
  Volume Issue Pages  
  Keywords Information systems; Intelligent systems; Optimization; Resource allocation; Allocation mechanism; Comparative analysis; Coordination; Distributed resource allocation; Emergency operations centers; Emergency response systems; Intelligent decision support; Monte-Carlo simulations; Decision support systems  
  Abstract Automated coordination is regarded as a novel approaches in Emergency Response Systems (ERS), and especially resource allocation has been understudied in former research. The contribution of this paper is the introduction of two variants of a novel resource allocation mechanism that provide decision support to the centralized Emergency Operations Center (EOC). Two quantitative models are computationally validated using real-time, data-driven, Monte-Carlo simulations promoting reliable propositions of distributed resource allocations and schedules. Various requirements are derived through a literature analysis. Comparative analyses attest that the Monte-Carlo approach outperforms a well-defined benchmark.  
  Address Albert-Ludwigs-Universität Freiburg, Germany; Universität Regensburg, Germany  
  Corporate Author Thesis (up)  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9789724922478 Medium  
  Track Intelligent Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1077  
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Author Duncan T. Wilson; Glenn I. Hawe; Graham Coates; Roger S. Crouch pdf  isbn
openurl 
  Title Scheduling response operations under transport network disruptions Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 683-687  
  Keywords Algorithms; Decision theory; Disasters; Emergency services; Information systems; Optimization; Stochastic systems; Disaster response; Optimization algorithms; Predictive performance; Real-time information; Road transport networks; Routing; Scheduling problem; Transport networks; Scheduling  
  Abstract Modeling the complex decision problems faced in the coordination of disaster response as a scheduling problem to be solved using an optimization algorithm has the potential to deliver efficient and effective support to decision makers. However, much of the utility of such a model lies in its ability to accurately predict the outcome of any proposed solution. The stochastic nature of the disaster response environment can make such prediction difficult. In this paper we examine the effect of unknown disruptions to the road transport network on the utility of a disaster response scheduling model. The effects of several levels of disruption are measured empirically and the potential of using real-time information to revise model parameters, and thereby improve predictive performance, is evaluated.  
  Address School of Engineering and Computing Sciences, Durham University, Durham DH1 3LE, United Kingdom  
  Corporate Author Thesis (up)  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Intelligent Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1093  
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Author Shengcheng Yuan; Ma Ma; H. Zhang; Yi Liu. pdf  isbn
openurl 
  Title An urban traffic evacuation model with decision-making capability Type Conference Article
  Year 2013 Publication ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2013  
  Volume Issue Pages 317-321  
  Keywords Computer simulation; Decision making; Highway administration; Information systems; Roads and streets; Decision making support; Evacuation modeling; Evacuation process; Partial information; Simulation modules; System optimizations; Traffic directions; Traffic information; Emergency traffic control  
  Abstract Traffic evacuation is one of the most challenging problems in a mega city due to crowded road conditions. This study focuses on developing a traffic evacuation model with decision-making capability. The model basically consists of two modules. The first one is a decision-making support module which runs very fast and provides short-forecast. The second one is a simulation module, which is used for simulating real evacuation process and for overall performance evaluation with vehicle tracking model. The first module can be considered as a “local” module as only partial information, such as traffic information in certain junctions is available. The second module can be considered as a global module which provides traffic directions for junction, and effective using of road-nets. With integration of two modules, overall system optimization may be achieved. Simulation cases are given for model validation and results are satisfied.  
  Address Institute of Public Safety Research, Tsinghua University, Beijing, China  
  Corporate Author Thesis (up)  
  Publisher Karlsruher Institut fur Technologie Place of Publication KIT; Baden-Baden Editor T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9783923704804 Medium  
  Track Decision Support Systems Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1136  
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Author Lili Yang; Qun Liu; Shuang-Hua Yang; Dapeng Yu pdf  isbn
openurl 
  Title Evacuation Planning with Flood Inundation as Inputs Type Conference Article
  Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015  
  Volume Issue Pages  
  Keywords Dijkstra?s algorithm; flood evacuation planning; Genetic Algorithm (GA); multi-objective optimization  
  Abstract Recent flooding events happening in our city demonstrate frequency and severity of floods in the UK, highlighting the need to plan and prepare, and efficiently defend. Different from the numerous evacuation model and optimization algorithms, this paper aims to address flood evacuation planning with flood inundation as inputs. A dynamic flooding model and prediction to estimate the development of both surface water and flooding from rivers and watercourses has been fed into evacuation planning at various levels. A three-step approach is proposed. The first step is to identify assembly point designation. The second step is to find the candidate shortest path from each assembly point to all safe areas for all evacuees with consideration of possible inundation. The last step is to determine the optimal safe area for evacuees in the inundation area. The work presented in this paper has emphasized timing issue in evacuation planning. A case study is given to illustrate the use of the approach.  
  Address  
  Corporate Author Thesis (up)  
  Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9788271177881 Medium  
  Track Planning, Foresight and Risk Analysis Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved yes  
  Call Number Serial 1299  
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Author Oscar Rodríguez-Espíndola; Pavel Albores; Christopher Bewster pdf  isbn
openurl 
  Title A multi-agency perspective to disaster preparedness Type Conference Article
  Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015  
  Volume Issue Pages  
  Keywords Humanitarian logistics; multi-objective optimization; preparedness  
  Abstract The increasing number of victims from disasters in recent years results in several challenges for authorities aiming to protect and provide support to affected people. Humanitarian logistics represents one of the most important fields during preparedness and response in cases of disaster, seeking to provide relief, information and services to disaster victims. However, on top of the challenges of logistical activities, the successful completion of operations depends to a large extent on coordination. This is particularly important for developing countries, where disasters occur very often and resources are even scarcer.

This paper assumes a multi-agency approach to disaster preparedness that combines geographical information systems (GIS) and multi-objective optimization. The purpose of the tool is to determine the location of emergency facilities, stock prepositioning and distribution allocation for floods. We illustrate the application and the results using a case study centred on Acapulco, México.		  
  Address  
  Corporate Author Thesis (up)  
  Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9788271177881 Medium  
  Track Analytical Modelling and Simulation Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1188  
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Author Hossein Baharmand; Tina Comes pdf  isbn
openurl 
  Title A Framework for Shelter Location Decisions by Ant Colony Optimization Type Conference Article
  Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015  
  Volume Issue Pages  
  Keywords Ant Colony Optimization; Crisis Management; Location Decision; Shelter Planning  
  Abstract Earthquakes frequently destroy the homes and livelihoods of thousands. One of the most important concerns after an earthquake is to find a safe shelter for the affected people. Because of large numbers of potential locations, the multitude of constraints (e.g. access to infrastructures; security); and the uncertainty prevailing (e.g., number of places required) the identification of optimal shelter locations is a complex problem. Nevertheless, rapidly locating shelters and transferring the affected people to the nearest shelters are high priority in crisis situations. In this paper, we develop a framework based on Ant Colony Optimization (ACO) to support decisions-makers in the response phase. Using the same framework, we also derive recommendations for urban planning in the preparedness phase. We demonstrate our method with a case focusing on the city of Kerman, in Iran.  
  Address  
  Corporate Author Thesis (up)  
  Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9788271177881 Medium  
  Track Decision Support Systems Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved yes  
  Call Number Serial 1292  
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