toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author (up) Aamir Mahmood; Konstantinos Koufos; Krisztina Cziner pdf  isbn
openurl 
  Title Multicast voice performance within a public safety cell 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 18-24  
  Keywords Computer simulation; Equipment testing; Information systems; Reliability analysis; Voice/data communication systems; Distributed Coordination Function; Emergency scenario; Initial deployments; Mobility model; Public safety communications; Simulation studies; Statistical properties; Voice over Internet protocol; Multicasting  
  Abstract In public safety communications the first responders are getting directions about the tactical action plan with multicast voice whereas they can report back to the dispatcher with unicast voice. In this paper, the aim is to find the maximum number of voice calls for situation reporting in the presence of multicast voice for tactical coordination. In order to increase the reliability of our analysis we verify our simulator against a test bed prototype consisting of three 802.11 terminals. The simulation study is applied within a mobile cell. The proposed mobility model applies for initial deployment in emergency scenarios. We investigate the statistical properties of the model by simulations.  
  Address Teknillinen Korkeakoulu, TKK, Finland  
  Corporate Author Thesis  
  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 Communication Systems and Technologies for Crisis and Disaster Response Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 735  
Share this record to Facebook
 

 
Author (up) Aaron Burgman; Nikhil Kalghatgi; Erika Darling; Chris M. Newbern; Kristine Recktenwald; Shawn Chin; Howard Kong pdf  isbn
openurl 
  Title Emergency data analysis via semantic lensing 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 334-338  
  Keywords Information systems; Semantics; Analysis; Completion time; Decision makers; Emergency preparedness and response; Emergency situation; Filtering strategies; Information visualization; Mapping softwares; Emergency services  
  Abstract Emergency situations often play out over extended geographic regions and can present response personnel with numerous types of data at various level of detail. Such data may be displayed in mapping software tools that organize the data into layers. Sufficiently complex scenarios can result in dense, occluded, and cluttered map displays. We investigated a localized, detail-on-demand filtering strategy called semantic lensing that in certain situations provides a more efficient and desirable approach than filtering global layers for mitigating clutter and occlusion. An initial formal user study with these semantic lenses has shown their value in aiding decision makers during tasks that might occur during detection of and response to emergency situations. Completion times are significantly faster when using lenses, and workloads are significantly lower. Future work will evaluate additional features and task-specific applicability, and may support the distribution of such a lens tool to emergency preparedness and response personnel.  
  Address MITRE Corporation, United States  
  Corporate Author Thesis  
  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 VISUALIZATION IN EMERGENCY MANAGEMENT Expedition Conference 3rd International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 352  
Share this record to Facebook
 

 
Author (up) Abbas Ganji; Tom Wilson; Sonia Saveli; Dharma Dailey; Mark Haselkorn pdf  isbn
openurl 
  Title Cause and Effect: A Qualitative Analysis of Obstacles to Information Sharing During a Regional Disaster Exercise Type Conference Article
  Year 2019 Publication Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2019  
  Volume Issue Pages  
  Keywords Information Sharing; Disaster Response; Qualitative Analysis; Collaboration; Coordination  
  Abstract After large-scale disasters, diverse partner agencies rely heavily on an information-sharing environment that supports collaborative work. In the U.S., this occurs under the Incident Command System (ICS), a structured organizational framework for coordinated action. We explore obstacles to information sharing and coordinationobserved at a county-level Emergency Operations Center (EOC) operating under ICS during the response phase of a large-scale regional disaster exercise. Textual observations collected in situ are analyzed for both the effect/manifestation and cause/source of barriers to information sharing. Two-thirds of barriers that manifest as computational issues are not caused by technology breakdowns, and a third caused by unclear processes manifest as computational issues. Overall, obstacles to collaborative work that appear to be related to computational issues are generally attributable to non-technical causes. This indicates that resources directed at improving collaborative management of disasters by enhancing technological capabilities are likely to be misdirected.  
  Address University of Washington, United States of America  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Valencia, Spain Editor Franco, Z.; González, J.J.; Canós, J.H.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-84-09-10498-7 Medium  
  Track T2- Command and control studies Expedition Conference 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019)  
  Notes Approved no  
  Call Number Serial 1848  
Share this record to Facebook
 

 
Author (up) Adam Widera; Hanns-Alexander Dietrich; Bernd Hellingrath; Jörg Becker pdf  isbn
openurl 
  Title Understanding humanitarian supply chains – Developing an integrated process analysis toolkit 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 210-219  
  Keywords Decision support systems; Information systems; Supply chain management; Decision support tools; Humanitarian logistics; Logistics process; Performance measurements; Process analysis; Reference modeling; Response performance; Technological components; Societies and institutions  
  Abstract In this paper we present the development of an integrated process analysis toolkit for humanitarian logistics. The toolkit integrates a conceptual and a technological component. Our approach follows a case study-based modeling and design approach. The developed concept was evaluated in two humanitarian organizations. Based on these results we extended and integrated the tool-supported process analysis approach, which is ready to use for the structural and quantitative analysis of humanitarian logistics processes. The toolkit can be applied in humanitarian organizations as a decision support tool for designing, planning and executing their logistics processes. Thus, the application affects the preparedness of humanitarian organizations as well as their response performance. The process analysis toolkit is embedded in an overall research agenda with the objective to provide humanitarian organizations with the capabilities to identify, monitor, and improve their logistics processes respecting the organization specific objectives.  
  Address University of Muenster, Germany  
  Corporate Author Thesis  
  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 1089  
Share this record to Facebook
 

 
Author (up) Alexander Gabriel; Babette Tecklenburg; Yann Guillouet; Frank Sill Torres pdf  openurl
  Title Threat analysis of offshore wind farms by Bayesian networks – a new modeling approach Type Conference Article
  Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021  
  Volume Issue Pages 174-185  
  Keywords Threat analysis, Bayesian networks, process modeling, Critical infrastructurs  
  Abstract As a result of the ongoing commitment to climate protection in more and more countries and the corresponding expansion of renewable energies, the importance of renewables for the security of electricity supply is also increasing. Wind energy generated in offshore wind farms already accounts for a significant share of the energy mix and will continue to grow in the future. Therefore, approaches and models for security assessment and protection against threats are also needed for these infrastructures. Due to the special characteristics and geographical location of offshore wind farms, they are confronted with particular challenges. In this context, this contribution outlines how an approach for threat analysis of offshore wind farms is to be developed within the framework of the new research project “ARROWS” of the German Aerospace Center. The authors first explain the structure of offshore wind farms and then present a possible modeling approach using Qualitative function models and Bayesian networks.  
  Address German Aerospace Center – Institute for the Protection of Maritime Infrastructures; German Aerospace Center – Institute for the Protection of Maritime Infrastructures; German Aerospace Center – Institute for the Protection of Maritime Infrastructures; Ger  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-61-5 ISBN Medium  
  Track Analytical Modeling and Simulation Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management  
  Notes Alexander.Gabriel@dlr.de Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2323  
Share this record to Facebook
 

 
Author (up) Alexei Sharpanskykh pdf  isbn
openurl 
  Title An agent-based approach for safety analysis of safety-critical organizations 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 Dynamics; Information systems; Multi agent systems; Societies and institutions; Agent-based approach; Air navigation service providers; Complex dynamics; Emergence; Organization model; Organizational dynamics; Safety analysis; Traditional approaches; Safety engineering  
  Abstract Modern safety-critical organizations are characterized by complex, nonlinear dynamics involving many interrelated actors and processes. Safety issues that emerge from these complex dynamics increasingly remain hidden, until an incident or even a serious accident occurs. Traditional safety analysis methods developed long ago for much simpler organizations cannot help identifying, explaining and predicting many safety-related properties of modern organizations. To address this issue, in the paper a formal approach is proposed to establish relations between local dynamics of actors of a complex safety-critical organization and global safetyrelated properties that emerge from these dynamics. In contrast to the traditional approaches, the organizational dynamics are specified by taking the agent perspective with an organizational layer. The application of the approach is illustrated by a simulation case study, in which spread of safety-critical information in an air navigation service provider is investigated. © 2012 ISCRAM.  
  Address VU University Amsterdam, Netherlands  
  Corporate Author Thesis  
  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 Analytical Modelling and Simulation Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 205  
Share this record to Facebook
 

 
Author (up) Ali Benssam; Nadia Nouali-Taboudjemat; Omar Nouali pdf  isbn
openurl 
  Title Towards an It-based platform for disaster risks management in Algeria 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 72-77  
  Keywords Decision support systems; Disaster prevention; Information analysis; Information systems; Public risks; Collaboration; Collaborative framework; Decision supports; Disaster management; Disaster situations; Information sharing; Public awareness; Risk prevention; Disasters  
  Abstract Disaster management and risk prevention in Algeria have undergone many changes in the recent years. Important efforts have been provided on the legal and organizational sides to set the right conditions for an integrated and collaborative framework for disaster management in the country. The aim is to address the lack of information sharing, coordination and collaboration among the involved organizations. However, although the enhancement of the organizational arrangements, several problems persist mainly related to the implementation of these measures. To address this issue, in this paper, we propose an IT based platform in the field of risks prevention and disaster management (DM). This platform provides decision support, enables information sharing, helps to enhance public awareness regarding risks and disasters, supports communication and dissemination of information and alerts in disaster situations and facilitates the implementation of regulation related to disaster management.  
  Address High School of Computer Science ESI, Algiers, Algeria; Research Center of Scientific and Technical Information CERIST, Algiers, Algeria  
  Corporate Author Thesis  
  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 Coordination and Collaboration Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 306  
Share this record to Facebook
 

 
Author (up) Amelie Grangeat; Floriane Brill; Stephane Raclot; Emmanuel Lapebie pdf  isbn
openurl 
  Title Mapping of Areas Presenting Specific Risks to Firefighters due to Buried Technical 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 Issue Pages  
  Keywords Firefighters Specific Risks; Vulnerability Mapping; Territory Analysis; GIS Method  
  Abstract Vehicles or freight cars on fire below a bridge or inside a tunnel are exceptional events and imply difficult intervention conditions for firefighters. A buried technical network like high voltage electricity line, gas or steam pipeline around such a fire causes additional specifics risks. Vulnerability areas for firefighters are defined as zones where both factors exist: a difficult incident area – like tunnels or bridges over roads/railway lines ? together with a specific risk like buried networks. These areas require intervention teams with specific emergency response capabilities. The present paper proposes a method developed for the Paris Fire Brigade for vulnerability mapping. Results aim at being used by their decision support system dedicated to the mobilization of intervention teams. On the long term, it could improve the allocation of specific responses capabilities intervention teams as soon as the emergency call is treated. Results are debated from an operational point of view.  
  Address  
  Corporate Author Thesis  
  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  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3437 ISBN 978-84-608-7984-58 Medium  
  Track Geospatial Data and Geographical Information Science Expedition Conference 13th International Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1377  
Share this record to Facebook
 

 
Author (up) Ana Laugé; Josune Hernantes; Jose Mari Sarriegi pdf  isbn
openurl 
  Title Disaster impact assessment:A holistic framework 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 730-734  
  Keywords Information systems; Comprehensive analysis; Crisis management; Holistic frameworks; Impact analysis; Impact assessments; Impact evaluation; Natural disasters; Preventive measures; Disasters  
  Abstract One of the important aspects of the crisis management consists in a comprehensive analysis of the impacts generated and their associated cost. The capacity to carry out an efficient holistic management, through the development of preventive measures and response programs relies on a proper estimation of impacts which helps to mitigate the harshness or can even avoid impacts in face of future crises. The aim of this paper is to analyse existing methodologies for natural disasters' impact evaluation, the identification of the different impact categories as well as the explanation of a natural disasters impact framework, which includes a list of indicators for a correct impact assessment. The framework also analyses the evolution of impacts, that is, how immediate impacts can also generate delayed impacts.  
  Address Tecnun – University of Navarra, Spain  
  Corporate Author Thesis  
  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 682  
Share this record to Facebook
 

 
Author (up) Anastasia Moumtzidou; Marios Bakratsas; Stelios Andreadis; Anastasios Karakostas; Ilias Gialampoukidis; Stefanos Vrochidis; Ioannis Kompatsiaris pdf  isbn
openurl 
  Title Flood detection with Sentinel-2 satellite images in crisis management systems 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 1049-1059  
  Keywords Floods, Change Detection, Bi-temporal Analysis, Sentinel-2, Deep Neural Networks.  
  Abstract The increasing amount of falling rain may cause several problems especially in urban areas, which drainage system can often not handle this large amount in a short time. Confirming a flooded scene in a timely manner can help the authorities to take further actions to counter the crisis event or to get prepared for future relevant incidents. This paper studies the detection of flood events comparing two successive in time Sentinel-2 images, a method that can be extended for detecting floods in a time-series. For the flood detection, fine-tuned pre-trained Deep Convolutional Neural Networks are used, testing as input different sets of three water sensitive satellite bands. The proposed approach is evaluated against different change detection baseline methods, based on remote sensing. Experiments showed that the proposed method with the augmentation technique applied, improved significantly the performance of the neural network, resulting to an F-Score of 62% compared to 22% of the traditional remote sensing techniques. The proposed method supports the crisis management authority to better estimate and evaluate the flood impact.  
  Address Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece; Centre for Research & Technology Hellas, Information Technologies Institute, Thessaloniki, Greece;  
  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 978-1-949373-27-95 ISBN 2411-3481 Medium  
  Track Using Artificial Intelligence to exploit Satellite Data in Risk and Crisis Management Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management  
  Notes moumtzid@iti.gr Approved no  
  Call Number Serial 2296  
Share this record to Facebook
 

 
Author (up) André Dittrich; Christian Lucas pdf  isbn
openurl 
  Title A step towards real-time analysis of major disaster events based on tweets 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 868-874  
  Keywords Information systems; Semantics; Social networking (online); Crisis management; Event detection; Functional model; Micro-blogging platforms; Real time analysis; Semantic content analysis; Social sensors; Twitter; Disasters  
  Abstract The most popular micro blogging platform Twitter has been the topic of a variety of research papers related to disaster and crisis management. As an essential first step and basis for a real-time methodology to exploit Twitter for event detection, localization and ultimately semantic content analysis, a functional model to describe the amount of tweets during a day has been developed. It was derived from a corpus of messages in an exemplary area of investigation. To satisfy the different daily behavior on particular days, two types of days are distinguished in this paper. Moreover, keyword-adjusted data is used to point out the potential of semantic tweet analysis in following steps. The consideration of spatial event descriptions in relevant tweets could significantly improve and accelerate the perception of a disaster. The results from the conducted tests demonstrate the capability of the functional model to detect events with significant social impact in Twitter data.  
  Address Karlsruhe Institute of Technology (KIT), Germany  
  Corporate Author Thesis  
  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 Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 452  
Share this record to Facebook
 

 
Author (up) Andrea Zielinski; Stuart E. Middleton; Laurissa N. Tokarchuk; Xinyue Wang pdf  isbn
openurl 
  Title Social media text mining and network analysis for decision support in natural crisis 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 840-845  
  Keywords Arts computing; Decision support systems; Information systems; Software prototyping; Decision supports; Link analysis; Social media; Text mining; Vgi; Web Mining; Data mining  
  Abstract A core issue in crisis management is to extract from the mass of incoming information what is important for situational awareness during mass emergencies. Based on a case study we develop a prototypical application, TweetComp1, which is integrated into the decision-support component of a Tsunami early warning system and demonstrates the applicability of our approach. This paper describes four novel approaches using focused twitter crawling, trustworthiness analysis, geo-parsing, and multilingual tweet classification in the context of how they could be used for monitoring crises. The validity of our state-of-the art text mining and network analysis technologies will be verified in different experiments based on a human annotated gold standard corpus.  
  Address Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany; IT Innovation Centre, University of Southampton, Southampton, United Kingdom; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom  
  Corporate Author Thesis  
  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 Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1160  
Share this record to Facebook
 

 
Author (up) Andrea Zielinski; Ulrich Bügel pdf  isbn
openurl 
  Title Multilingual analysis of twitter news in support of mass emergency events 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 Disasters; Earthquakes; Information retrieval systems; Information systems; Sensor networks; Cross-lingual information; Early Warning System; Earthquake events; Event detection; Multilingual analysis; Social sensors; Support crisis management; Twitter; Social networking (online)  
  Abstract Social media are increasingly becoming a source for event-based early warning systems in the sense that they can help to detect natural disasters and support crisis management during or after disasters. In this work-in-progress paper we study the problems of analyzing multilingual twitter feeds for emergency events. The present work focuses on English as “lingua franca” and on under-resourced Mediterranean languages in endangered zones, particularly Turkey, Greece, and Romania Generally, as local civil protection authorities and the population are likely to respond in their native language. We investigated ten earthquake events and defined four language-specific classifiers that can be used to detect earthquakes by filtering out irrelevant messages that do not relate to the event. The final goal is to extend this work to more Mediterranean languages and to classify and extract relevant information from tweets, translating the main keywords into English. Preliminary results indicate that such a filter has the potential to confirm forecast parameters of tsunami affecting coastal areas where no tide gauges exist and could be integrated into seismographic sensor networks. © 2012 ISCRAM.  
  Address Fraunhofer IOSB, Germany  
  Corporate Author Thesis  
  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 Command and Control Studies Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 245  
Share this record to Facebook
 

 
Author (up) Andrés Moreno; Philip Garrison; Karthik Bhat pdf  openurl
  Title WhatsApp for Monitoring and Response during Critical Events: Aggie in the Ghana 2016 Election Type Conference Article
  Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017  
  Volume Issue Pages 645-655  
  Keywords social media analysis; election monitoring; crisis prevention; WhatsApp; Ghana; mobile instant messaging  
  Abstract Mobile Instant Messaging platforms like WhatsApp are becoming increasingly popular. They have expanded access to digital text, audio, picture, and video messaging. Integrating them into existing crisis monitoring and response platforms and workflows can help reach a wider population. This paper describes a first attempt to integrate WhatsApp into Aggie, a social media aggregating and monitoring platform. We report on the deployment of this integration during Ghana's 2016 election, along with Twitter, Facebook, and RSS. The WhatsApp messages collected by Aggie during the election improved the eectiveness of the monitoring eorts. Thanks to these messages, more incidents were found and escalated to the Electoral Commission and security forces. From interviews with people involved in monitoring and response, we found that the WhatsApp integration helped their coordination and monitoring activities.  
  Address United Nations University Institute for Computing and Society  
  Corporate Author Thesis  
  Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds  
  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 Social Media Studies Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management  
  Notes Approved no  
  Call Number Serial 2052  
Share this record to Facebook
 

 
Author (up) Anna Gryszkiewicz; Fang Chen pdf  openurl
  Title Design requirements for information sharing in a crisis management command and control centre 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 Command and control systems; Data processing; Information analysis; Information systems; Managers; Command and control; Crisis management; Crisis-management command; Information sharing; Information support systems; Information management  
  Abstract Good support for information sharing and processing is essential for successful crisis management. A crisis manager handles information from many different sources and collaborates with many different actors. This study is therefore focusing on specifying some needs and requirements for information support systems for crisis management command and control centres. The study is based on case studies and interviews in Sweden with the aim to understand how information processing best can be supported from a crisis manager's perspective. The needs and requirements found in the study can be used in future system design or improvement.  
  Address Interaction Design Collegium, Crisis Response Lab Chalmers, University of Technology, Sweden  
  Corporate Author Thesis  
  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 Special Session: Response Information Systems Requirement Engineering and Evaluation Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 550  
Share this record to Facebook
 

 
Author (up) Anne-Francoise Rutkowski; Willem Van Groenendaal; Bartel A. Van De Walle; Jan Pol pdf  isbn
openurl 
  Title Decision support technology to support risk analysis and disaster recovery plan formulation: Towards IT and business continuity Type Conference Article
  Year 2004 Publication Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2004  
  Volume Issue Pages 127-132  
  Keywords Decision support systems; Disasters; Groupware; Information management; Information systems; Mobile telecommunication systems; Risk analysis; Business continuity; Business continuity plans; Disaster recovery plan; Economic decision model; Group support systems; Multi-national companies; Quantitative classifications; Recovery planning; Recovery  
  Abstract The paper presents a four-phase action research project that was (and still is) conducted at the department of Information Management Customer Support and Operations (IM\CS&O) of a large multi-national company. The department is in charge of ICT-service continuity and has to produce ICT recovery plans that are integrated with the organization's overall Business Continuity plan. Interviews, Group Support System (GSS) technologies as well as a risk survey have been used to gather information and identify risks and threats. A systematic quantitative classification, measuring the impact of loss of ICT services on the company's business processes in terms of cost and risk will allow in the near future to utilize an economic decision model to prioritize the core activities of training and implementation of a recovery disaster plan. The research has made clear to the involved protagonists the necessity to share information, to develop awareness, and to formulate a shared recovery disaster plan to ensure ICT/business continuity and/or recovery when ICT disruptions occurs. © Proceedings ISCRAM 2004.  
  Address Department of Information Systems and Management, Tilburg University, Tilburg, Netherlands; Philips Medical Systems, Best, Netherlands  
  Corporate Author Thesis  
  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 9076971080 Medium  
  Track Emergency Response Stakeholders and Cooperation Expedition Conference 1st International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 197  
Share this record to Facebook
 

 
Author (up) Anne-Marie Barthe-Delanoë; Wenxin Mu pdf  isbn
openurl 
  Title Towards a Context-Aware Systemic Risk Management Framework for the Crisis Response 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 1122-1129  
  Keywords Context-Awareness; Risk Analysis; Risk Evaluation; Knowledge Base; Systemic Risk  
  Abstract Crisis response is, as any other collaborative networked organization, challenged by changes and vulnerabilities. Moreover, as a complex system with distributed activities and numerous interdependencies, considering the risk of such an organization at a systemic level, including time and space dimensions, is necessary. Systemic risk management is a topic traditionally studied in the finance area. Even if a few researches now focus on the supply chain management area (a more relatable domain regarding crisis response), there is even fewer literature regarding systemic risk management for the crisis response. Thus, this paper proposes first to define systemic risk related to the case of the crisis response. Then, a framework for context-aware systemic risk management is presented, to support the design as well as the follow-up of the crisis response, meeting one of the challenges of the Sendai Framework for Disaster Risk Reduction.  
  Address Laboratoire de Génie Chimique, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France; Department of Information Management, Jiao Tong University, Beijing, China  
  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 978-1-949373-27-101 ISBN 2411-3487 Medium  
  Track Visions for Future Crisis Management Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management  
  Notes annemarie.barthe@ensiacet.fr Approved no  
  Call Number Serial 2302  
Share this record to Facebook
 

 
Author (up) Anthony C. Robinson; Alexander Savelyev; Scott Pezanowski; Alan M. MacEachren pdf  isbn
openurl 
  Title Understanding the utility of geospatial information in social media 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 918-922  
  Keywords Information systems; Job analysis; Visualization; Evaluation; Geo-spatial informations; Geographic information; Geovisual analytics; Situational awareness; Social media; Visual analytics; Visual analytics systems; Information science  
  Abstract Crisis situations generate tens of millions of social media reports, many of which contain references to geographic features and locations. Contemporary systems are now capable of mining and visualizing these location references in social media reports, but we have yet to develop a deep understanding of what end-users will expect to do with this information when attempting to achieve situational awareness. To explore this problem, we have conducted a utility and usability analysis of SensePlace2, a geovisual analytics tool designed to explore geospatial information found in Tweets. Eight users completed a task analysis and survey study using SensePlace2. Our findings reveal user expectations and key paths for solving usability and utility issues to inform the design of future visual analytics systems that incorporate geographic information from social media.  
  Address Department of Geography, GeoVISTA Center, Penn State University, United States  
  Corporate Author Thesis  
  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 Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 883  
Share this record to Facebook
 

 
Author (up) Antone Evans Jr.; Yingyuan Yang; Sunshin Lee pdf  openurl
  Title Towards Predicting COVID-19 Trends: Feature Engineering on Social Media Responses Type Conference Article
  Year 2021 Publication ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2021  
  Volume Issue Pages 792-807  
  Keywords Big Data Analysis, Machine Learning, COVID-19, Twitter  
  Abstract During the course of this pandemic, the use of social media and virtual networks has been at an all-time high. Individuals have used social media to express their thoughts on matters related to this pandemic. It is difficult to predict current trends based on historic case data because trends are more connected to social activities which can lead to the spread of coronavirus. So, it's important for us to derive meaningful information from social media as it is widely used. Therefore, we grouped tweets by common keywords, found correlations between keywords and daily COVID-19 statistics and built predictive modeling. The features correlation analysis was very effective, so trends were predicted very well. A RMSE score of 0.0425504, MAE of 0.03295105 and RSQ of 0.5237014 in relation to daily deaths. In addition, we found a RMSE score of 0.07346836, MAE of 0.0491152 and RSQ 0.374529 in relation to daily cases.  
  Address University of Illinois Springfield; University of Illinois Springfield; University of Illinois Springfield  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-61-5 ISBN Medium  
  Track Social Media for Disaster Response and Resilience Expedition Conference 18th International Conference on Information Systems for Crisis Response and Management  
  Notes aevan7@uis.edu Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2374  
Share this record to Facebook
 

 
Author (up) Anuradha Venkateswaran; Katrina Simon-Agolory; Kera Z. Watkins pdf  isbn
openurl 
  Title Risk analysis for Greene County and Wright Patterson Air Force Base, Ohio: Simulation of riverine flooding using HAZUS-MH 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 Disaster prevention; Disasters; Economic and social effects; Floods; Information systems; Risk analysis; Terrorism; Comprehensive risks; Disaster management; Greene county; Natural disasters; Oh; Risk determination; Riverine flooding; Wright-Patterson Air Force Base; Military aviation  
  Abstract Greene County in Dayton, OH houses Wright Patterson Air Force Base (WPAFB), whose estimated 2009 economic impact within its Metropolitan Statistical Area (MSA) is $5.17 million. Despite its military/strategic importance as the largest base in the U.S. Air Force, literature search did not uncover a published comprehensive risk analysis for WPAFB, or even Greene County, across the entire spectrum of hazards from natural to technological to man-made (including terrorism). This paper presents a summary report on risk determination and economic impact data for Greene County and WPAFB (within Greene County) in the context of riverine flooding, using FEMA's HAZUS-MH tool. It is hoped that the results will further the regional compilation of data and thus prove of use to the local disaster management community while generally growing the overall body of work in risk analysis. Future work aims to expand regional risk determination to other natural disasters and terrorism scenarios.  
  Address Wilberforce University, United States; Solnect Consulting Group, United States  
  Corporate Author Thesis  
  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 Analytical Information Systems Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1050  
Share this record to Facebook
 

 
Author (up) Ariën J. Van Der Wal; Tim J. Grant pdf  isbn
openurl 
  Title Simulating information sharing in crisis response coalitions as a minority game 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 120-124  
  Keywords Commerce; Game theory; Information analysis; Information systems; Evolutionary game theory; Evolutionary games; Information market; Information sharing; Minority game; Multiple organizations; Organizational cultures; Trust; Societies and institutions  
  Abstract A major crisis or disaster attracts a response from multiple organizations. These organizations need to work together as a coalition. To do so effectively, they must share information. Differences in organizational culture give information a scarcity value, leading to the emergence of information markets. As the crisis progresses, organizations learn to work together, building up trust and lowering the “price” for information shared. Organizations that have worked together in previous crises have a price advantage. In short, the information sharing changes dynamically. Evolutionary game theory – And the minority game in particular – has been recently applied to markets in which physical goods are exchanged. This paper presents the first results from simulating an information sharing market in crisis response coalitions as a minority game.  
  Address Netherlands Defence Academy, Netherlands; Retired but Active Researchers, Netherlands  
  Corporate Author Thesis  
  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 Coordination and Collaboration Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 1041  
Share this record to Facebook
 

 
Author (up) Arthur H. Hendela; Murray Turoff; Starr Roxanne Hiltz pdf  openurl
  Title Cross impact security analysis using the HACKING Game 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 Crime; Information systems; Models; Personnel training; Collaborative model; Cross-impact analysis; Gaming; Government organizations; Mathematical basis; Natural and man-made disasters; Planning tools; Security expenditures; Personal computing  
  Abstract Security of network assets is a high priority with little traditional return on investment. Increasingly, cyber attacks are being used by both terrorist and unfriendly government organizations. The HACKING Game, a Cross Impact Analysis planning tool, can be used to plan security resource allocation in computer networks. Cross Impact Analysis provides a mathematical basis to determine the interrelationships of one event with a set of other events. Output from the HACKING Game's Cross Impact Analysis model can be used to help justify security expenditures, with an added benefit of being a training tool for employees learning to protect networks. This paper presents details of the Hacking Game's design and its capabilities. Cross impact modeling can be used to develop games for any situation characterized by a set of offense and defense events to produce an individual or collaborative model for such things as natural and man-made disasters.  
  Address New Jersey Institute of Technology, United States  
  Corporate Author Thesis  
  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 Planning, Foresight and/or Risk Analysis Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 569  
Share this record to Facebook
 

 
Author (up) Asa Weinholt; Tobias Andersson Granberg pdf  isbn
openurl 
  Title Evaluation of enhanced collaboration between fire and rescue services and security officers 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 735-740  
  Keywords Cost benefit analysis; Information systems; Cost effective; Crisis management; Emergency response; Fire and rescue services; Interview study; New actors; Security officers; Semi structured interviews; Emergency services  
  Abstract The hypothesis of this study is that collaboration between fire and rescue services and new actors, with basic rescue skills, might be a cost effective way to improve emergency response. Interview studies of collaborations between fire and rescue services and security officers in three Swedish municipalities are presented. Seven semi-structured interviews are conducted with representatives from the security officer companies, the fire and rescue services and security managers at the municipalities. The method used to evaluate the collaborations quantitatively is Cost-benefit analysis. The collaborations have positive economic effects for society that most likely outweighs the costs. There also exist several external effects that are not possible to value monetarily, but that represent positive values for society. The results and their generalizability are discussed, as well as the possibility for these new collaborations to improve crisis management.  
  Address Div. Communication and Transport Systems, ITN. Linkoping University, Sweden  
  Corporate Author Thesis  
  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 1074  
Share this record to Facebook
 

 
Author (up) Axel Schulz; Tung Dang Thanh; Heiko Paulheim; Immanuel Schweizer pdf  isbn
openurl 
  Title A fine-grained sentiment analysis approach for detecting crisis related microposts 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 846-851  
  Keywords Artificial intelligence; Information systems; Learning systems; Risk management; Social networking (online); Amount of information; Emergency management; Microposts; Real-time information; Sentiment analysis; Situational awareness; Systematic evaluation; Twitter; Data mining  
  Abstract Real-time information from microposts like Twitter is useful for applications in the crisis management domain. Currently, that potentially valuable information remains mostly unused by the command staff, mainly because the sheer amount of information cannot be handled efficiently. Sentiment analysis has been shown as an effective tool to detect microposts (such as tweets) that contribute to situational awareness. However, current approaches only focus on two or three emotion classes. But using only tweets with negative emotions for crisis management is not always sufficient. The amount of remaining information is still not manageable or most of the tweets are irrelevant. Thus, a more fine-grained differentiation is needed to identify relevant microposts. In this paper, we show the systematic evaluation of an approach for sentiment analysis on microposts that allows detecting seven emotion classes. A preliminary evaluation of our approach in a crisis related scenario demonstrates the applicability and usefulness.  
  Address Technische Universität Darmstadt, Germany; Universität Mannheim, Germany  
  Corporate Author Thesis  
  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 Social Media Expedition Conference 10th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 927  
Share this record to Facebook
 

 
Author (up) Ayda Kianmehr; Duygu Pamukcu pdf  isbn
openurl 
  Title Analyzing Citizens’ Needs during an Extreme Heat Event, based on 311 Service Requests: A Case Study of the 2021 Heatwave in Vancouver, British Columbia Type Conference Article
  Year 2022 Publication ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022  
  Volume Issue Pages 174-182  
  Keywords Extreme heat; 311 calls; weather-related variables; time-series analysis; hazard preparedness  
  Abstract Heat waves are becoming more common and intense with global climate change, which requires deploying resilience strategies of governments to prepare for long-term trends of higher temperatures and carefully plan emergency responses for such extreme heat events. The British Columbia province of Canada is one of the regions severely affected by extreme climatic events in 2021, which resulted in several deaths and put hundreds of thousands of people scrambling for relief. This study examines the public reactions to one of these extreme climatic events, the 2021 Pacific Northwest heatwave, in a non-emergency service request platform to uncover the types of municipal service needs during severe climatic disasters. City of Vancouver 311 system data is used to identify the impact of the heatwave on the frequency and types of service needs and examine the significance of the relationship between climatic conditions and the non-emergency service volumes.  
  Address Virginia Tech; Virginia Tech  
  Corporate Author Thesis  
  Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium  
  Track Analytical Modeling and Simulation Expedition Conference  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2408  
Share this record to Facebook
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: