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| Author | Leorey Marquez; Pawan Gamage; Dhirendra Singh; Vincent Lemiale; Trevor Dess; Peter Ashton; Luke Ryan | ||||
| Title | SEEKER: A Web-Based Simulation Tool for Planning Community Evacuations | Type | Conference Article | ||
Year  |
2023 | Publication | Proceedings of the ISCRAM Asia Pacific Conference 2022 | Abbreviated Journal | Proc. ISCRAM AP 2022 |
| Volume | Issue | Pages | 8-24 | ||
| Keywords | Evacuation Modelling; Emergency Management; Decision Support Systems; Agent-Based Simulation | ||||
| Abstract | Bushfires cause widespread devastation in Australia, one of the most fire-prone countries on earth. Bushfire seasons are also becoming longer and outbreaks of severe bushfires are occurring more often. This creates the problem of having more people at risk in very diverse areas resulting in more difficult mass evacuations over time. The Barwon Otway region in Victoria’s Surf Coast Shire is one such area with evacuation challenges due to its limited routes in and out of coastal areas and its massive population surges during the tourist season and holiday periods. The increasing gravity of the bushfire threat to the region has brought about the Great Ocean Road Decision Support System (GOR-DSS) project, and the subsequent development of a disaster evacuation tool to support emergency management organisations assess evacuation and risk mitigation options. This paper describes the design and development of SEEKER (Simulations of Emergency Evacuations for Knowledge, Education and Response). The SEEKER tool adds another level of intelligence to the evacuation response by incorporating agent-based modelling and allows emergency management agencies to design and run evacuation scenarios and analyse the risk posed by the fire to the population and road network. Furthermore, SEEKER can be used to develop multiple evacuation scenarios to investigate and compare the effectiveness of each emergency evacuation plan. This paper also discusses the application of SEEKER in a case study, community engagement, and training. | ||||
| Address | CSIRO Data61; RMIT University; RMIT University; CSIRO Data61; DELWP; DELWP; Mount Alexander Shire Council | ||||
| Corporate Author | Thesis | ||||
| Publisher | Massey Unversity | Place of Publication | Palmerston North, New Zealand | Editor | Thomas J. Huggins, V.L. |
| Language | English | Summary Language | Original Title | ||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2411-3387 | ISBN | 978-0-473-66845-7 | Medium | |
| Track | Analytical Modelling and Simulation | Expedition | Conference | ||
| Notes | Approved | no | |||
| Call Number | ISCRAM @ idladmin @ | Serial | 2476 | ||
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| Author | Radianti, J.; Pilemalm, S.; Steen-Tveit, K.; Rustenberg, K. | ||||
| Title | Enhancing Learning from Incidents by Reconstruction of Events: Using the SQUARE Tool for Evaluation | Type | Conference Article | ||
| Year |
2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
| Volume | Issue | Pages | 663-675 | ||
| Keywords | Learning from Incidents; Event Reconstruction-Based Evaluation; Tabletop Exercise | ||||
| Abstract | Evaluation after exercise and incidents—often called After Action Review or AAR—are important to enhance the emergency management (EM) response capability. However, evaluation supporttools for event reconstruction after incidents and exercises are not yet fully available. We engaged EM stakeholders in a tabletop exercise based on snow chaos and car accidents scenarios to evaluate a fully functional prototype. The tool assists information sharing in real-time and enhances debriefing process of any EM response and exercise. Analysis of reflective discussions and an open question survey shows that the EM participants consider the features of the prototype to facilitate better learning from incidents. However, they have different attitudes concerning the adoption, management, and application of the tool in organizations. For instance, more security features are required to comply with regulations. We argue that the tool is an important first step to fill the gap on the need for “event reconstruction-based evaluation.” | ||||
| Address | Department of Information Systems, University of Agder | ||||
| Corporate Author | Thesis | ||||
| Publisher | University of Nebraska at Omaha | Place of Publication | Omaha, USA | Editor | Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language | English | Summary Language | Original Title | ||
| Series Editor | Hosssein Baharmand | Series Title | Abbreviated Series Title | ||
| Series Volume | Series Issue | Edition | 1 | ||
| ISSN | ISBN | Medium | |||
| Track | Command and Control Studies | Expedition | Conference | ||
| Notes | http://dx.doi.org/10.59297/EQKP4179 | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2555 | ||
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| Author | Landsberg, L.; Gleibs, T.; Mudimu, O.A. | ||||
| Title | Design of a Systems Theory Approach for the Evaluation of C2-Systems | Type | Conference Article | ||
| Year |
2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
| Volume | Issue | Pages | 692-700 | ||
| Keywords | Systems Theory; Command And Control; Observation; Evaluation | ||||
| Abstract | The course of large-scale incidents as well as disasters can reveal weaknesses in command and control (C2) systems, which make adjustments necessary. Also, new technologies may require C2-systems to be adapted to achieve their full potential for improving incident command. This paper deals with an approach to enable the comparison and evaluation of different C2-systems or their adaptations in order to find the best possible customizations for C2-systems. To this purpose, systems theory is used to unify the approaches of different research disciplines. Within the C2-system boundaries, distinctions were made to represent three different levels of evaluation: “Physical Characteristics”, “Structures and Processes” as well as “C2-system-effectiveness”. During the implementation of the evaluation methods from the different research disciplines into the systems theory approach, it became apparent that the comprehensive approach is desirable, but that broad knowledge and expertise is necessary, especially at the highest evaluation level “C2-system-effectiveness”. | ||||
| Address | TH Köln – University of Applied Sciences; TH Köln – University of Applied Sciences; TH Köln – University of Applied Sciences | ||||
| Corporate Author | Thesis | ||||
| Publisher | University of Nebraska at Omaha | Place of Publication | Omaha, USA | Editor | Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language | English | Summary Language | Original Title | ||
| Series Editor | Hosssein Baharmand | Series Title | Abbreviated Series Title | ||
| Series Volume | Series Issue | Edition | 1 | ||
| ISSN | ISBN | Medium | |||
| Track | Command and Control Studies | Expedition | Conference | ||
| Notes | http://dx.doi.org/10.59297/OVXI9948 | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2557 | ||
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| Author | Schmidt-Colberg, A.; Löffler-Dauth, L. | ||||
| Title | A Human-Centric Evaluation Dataset for Automated Early Wildfire Detection from a Causal Perspective | Type | Conference Article | ||
| Year |
2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
| Volume | Issue | Pages | 933-943 | ||
| Keywords | Wildfire Detection; Supervised Learning; Causality; Evaluation | ||||
| Abstract | Insight into performance ability is crucial for successfully implementing AI solutions in real-world applications. Unanticipated input can lead to false positives (FP) and false negatives (FN), potentially resulting in false alarms in fire detection scenarios. Literature on fire detection models shows varying levels of complexity and explicability in evaluation practices; little supplementary information on performance ability outside of accuracy scores is provided. We advocate for a standardized evaluation dataset that prioritizes the end-user perspective in assessing performance capabilities. This leads us to ask what an evaluation dataset needs to constitute to enable a non-expert to determine the adequacy of a model's performance capabilities for their specific use case. We propose using data augmentation techniques that simulate interventions to remove the connection to the original target label, providing interpretable counterfactual explanations into a model's predictions. | ||||
| Address | Fraunhofer FOKUS | ||||
| Corporate Author | Thesis | ||||
| Publisher | University of Nebraska at Omaha | Place of Publication | Omaha, USA | Editor | Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language | English | Summary Language | Original Title | ||
| Series Editor | Hosssein Baharmand | Series Title | Abbreviated Series Title | ||
| Series Volume | Series Issue | Edition | 1 | ||
| ISSN | ISBN | Medium | |||
| Track | AI for Crisis Management | Expedition | Conference | ||
| Notes | http://dx.doi.org/10.59297/KHML7113 | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2577 | ||
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| Author | Henke, S.; Widera, A.; Hellingrath, B. | ||||
| Title | Evaluation-driven Disaster Management Exercises: A Collaborative Toolkit | Type | Conference Article | ||
| Year |
2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
| Volume | Issue | Pages | 989-999 | ||
| Keywords | Disaster Management Exercise; Evaluation; Learning; Collaboration | ||||
| Abstract | Disaster management exercises are a core component of humanitarian organizations’ preparedness strategies. They entail diverse purposes, from training capabilities of participants to testing response plans to enhancing collaboration between organizations and many more. However, it is uncertain how much exercises contribute to preparedness. Rigorous evaluation is needed to exploit learning opportunities of an exercise. Therefore, exercises must target evaluable objectives, which is complicated by the socio-technical openness of the exercise system, the heterogeneity of organizational needs, and the scarcity of resources. Many different tools aim to support evaluation but are limited to specific use cases, resulting in a fragmented overview for practitioners. Due to the excessive effort involved, practitioners often consider exercise evaluation to be of secondary importance. This study thus proposes the conceptual design of a combined toolkit that supports the practitioners in a more rigorous but resource-efficient evaluation to make disaster management exercises more evaluation-driven. | ||||
| Address | Chair of Information Systems and Supply Chain Management, University of Münster; Chair of Information Systems and Supply Chain Management, University of Münster; Chair of Information Systems and Supply Chain Management, University of Münster | ||||
| Corporate Author | Thesis | ||||
| Publisher | University of Nebraska at Omaha | Place of Publication | Omaha, USA | Editor | Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language | English | Summary Language | Original Title | ||
| Series Editor | Hosssein Baharmand | Series Title | Abbreviated Series Title | ||
| Series Volume | Series Issue | Edition | 1 | ||
| ISSN | ISBN | Medium | |||
| Track | Open Track | Expedition | Conference | ||
| Notes | http://dx.doi.org/10.59297/PSIX3279 | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2582 | ||
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| Author | Kuntke, F.; Bektas, M.; Buhleier, L.; Pohl, E.; Schiller, R.; Reuter, C. | ||||
| Title | How Would Emergency Communication Based On LoRaWAN Perform? Empirical Findings of Signal Propagation in Rural Areas | Type | Conference Article | ||
| Year |
2023 | Publication | Proceedings of the 20th International ISCRAM Conference | Abbreviated Journal | Iscram 2023 |
| Volume | Issue | Pages | 1042-1050 | ||
| Keywords | LoRaWAN; Emergency Communication; Range Test; Empirical Evaluation; Dataset | ||||
| Abstract | Low Power Wide Area Network (LPWAN) technologies are typically promoted for Internet-of-Things (IoT) applications, but are also of interest for emergency communications systems when regular fixed and mobile networks break down. Although LoRaWAN is a frequently used representative here, there are sometimes large differences between the proposed range and the results of some practical evaluations. Since previous work has focused on urban environments or has conducted simulations, this work aims to gather concrete knowledge on the transmission characteristics in rural environments. Extensive field studies with varying geographic conditions and comparative tests in urban environments were performed using two different hardware implementations. Overall, it was found that the collected values in rural areas are significantly lower than the theoretical values. Nevertheless, the results certify that LoRaWAN technology has a high range that cannot be achieved with other common technologies for emergency communications. | ||||
| Address | Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt; Technical University of Darmstadt | ||||
| Corporate Author | Thesis | ||||
| Publisher | University of Nebraska at Omaha | Place of Publication | Omaha, USA | Editor | Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi |
| Language | English | Summary Language | Original Title | ||
| Series Editor | Hosssein Baharmand | Series Title | Abbreviated Series Title | ||
| Series Volume | Series Issue | Edition | 1 | ||
| ISSN | ISBN | Medium | |||
| Track | Open Track | Expedition | Conference | ||
| Notes | http://dx.doi.org/10.59297/QBHV2089 | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2586 | ||
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| Author | Toshihiro Osaragi; Koji Ogino; Noriaki Hirokawa; Takuya Oki | ||||
| Title | Severity of Crowding at Evacuation Shelters after a Major Earthquake | 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 | 22-43 | ||
| Keywords | large earthquake; evacuation shelter; building damage; water-supply failure; simulation; evacuation behavior | ||||
| Abstract | A number of residents are presumed to evacuate to shelters after a large earthquake. However, the congestion of evacuation shelters has not been enough discussed. In this paper, we propose an evacuation behavior model, which includes sub-models on building damage, water-supply failure, power failure, fire damage, and elevator stall. Using the model estimated using the survey data of the past earthquakes, we discuss the congestion of evacuation shelters under the assumption of Tokyo Bay northern earthquake. Finally, we discuss improvement of water pipes for earthquake resistance to reduce the congestion degree of evacuation shelters, which varies according to regional vulnerability. | ||||
| Address | Tokyo Institute of Technology | ||||
| 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 | 2397 | ||
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| Author | Ahmed Laatabi; Benoit Gaudou; Chihab Hanachi; Patricia Stolf; Sébastien Truptil | ||||
| Title | Coupling Agent-based Simulation with Optimization to Enhance Population Sheltering | 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 | 116-132 | ||
| Keywords | Sheltering; Simulation; Agent-Based Modeling; Optimization; Vehicle Routing Problem; Coupling; Flood Evacuation | ||||
| Abstract | Population sheltering is a recurrent problem in crisis management that requires addressing two aspects: evacuating vulnerable people using emergency vehicles and regulating movements of pedestrians and individual vehicles towards shelters. While these aspects have received considerable attention in modeling and simulation literature, very few approaches consider them simultaneously. In this paper, we argue that Agent-Based Modeling and Simulation (ABMS) and Optimization are two complementary approaches that can address the problem of sheltering globally and efficiently and be the basis of coherent frameworks for decision- and policy-making. Optimization can build efficient sheltering plans, and ABMS can explore what-if scenarios and use geospatial data to display results within a realistic environment. To illustrate the benefits of a framework based on this coupling approach, we simulate actual flash flood scenarios using real-world data from the city of Trèbes in South France. Local authorities may use the developed tools to plan and decide on sheltering strategies, notably, when and how to evacuate depending on available time and resources. | ||||
| Address | University of Toulouse; University of Toulouse; University of Toulouse; University of Toulouse; CEA Tech Occitanie | ||||
| 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 | 2403 | ||
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| Author | Alva Linhagen; Anton Björnqvist; Peter Berggren | ||||
| Title | A Meta-evaluation of Swedish Evaluations of COVID-19 Pandemic Management | 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 | 349-361 | ||
| Keywords | COVID-19; crisis management; meta-evaluation | ||||
| Abstract | The COVID-19 pandemic has had a global impact om society. Different countries and organizations have chosen different approaches to manage this crisis. This paper aims to describes how public Swedish actors (county administrative boards, municipalities, and regional councils) evaluated their management of the COVID-19 pandemic. Also, the paper aims to suggest improvements for crisis management strategies. Applying a meta-evaluation approach to open reports from the public organizations means collecting evaluation reports, determining if they fit the inclusion criteria, and if so, include them in the analysis. Included reports were categorized and given points indicating different types of merits. In addition, a thematic analysis of conclusions was conducted. 110 evaluation reports from 98 different organizations are included in the analysis. The importance of evaluating, having a structure for data collection, analysis, and reporting is reflected in the quality of the reports. Four identified themes offer an understanding of areas in need for development among Swedish regional councils, municipalities, and county administrative boards. | ||||
| Address | Linköping University; Linköping University; Linköping University | ||||
| Corporate Author | Thesis | ||||
| Publisher | University of Agder (Norway) | 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 | Command and Control Studies | Expedition | Conference | ||
| Notes | Approved | no | |||
| Call Number | ISCRAM @ idladmin @ | Serial | 2423 | ||
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| Author | Lennart Landsberg; Jörg Schmidt; Ompe Aimé Mudimu | ||||
| Title | Synthesising Comparisons to Develop a Generic Command and Control System | 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 | 392-403 | ||
| Keywords | C2-System; command and control; process; comparison; evaluation | ||||
| Abstract | Large and small incidents challenge emergency services around the world. Regardless of the size of the incident, command and control (C2)-systems are used to manage the situation, allowing a rapid and coordinated intervention. As all implemented actions result from the outputs of C2-systems, they are a fundamental component of the response. That is why they must be highly reliable and efficient. A research initiative is therefore addressing the approach of evaluating C2-systems on a scenario basis and using key performance indicators (KPI). To ensure that the KPIs can be applied to any form of incident control, a generic C2-system was developed by comparing and merging six German- and English-language C2-systems as well as one international standard. With this step, a comprehensive and detailed C2-system was developed, which is presented in this paper. | ||||
| Address | TH Köln – University of Applied Sciences | ||||
| 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 | Command and Control Studies | Expedition | Conference | ||
| Notes | Approved | no | |||
| Call Number | ISCRAM @ idladmin @ | Serial | 2427 | ||
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| Author | Pauline Tobergte; Alena Knispel; Lennart Landsberg; Ompe Aimé Mudimu | ||||
| Title | Evaluation of Tabletop Exercises in Emergency Response Research and Application in the Research Project SORTIE | 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 | 415-427 | ||
| Keywords | tabletop exercise; training; observation; evaluation; emergency services | ||||
| Abstract | This paper presents the fields of application of the tabletop exercise in emergency response by explaining the method in emergency response research. The authors illustrate the tabletop exercise of the Institute for Rescue Engineering and Civil Protection (IRG) of the TH Köln in a research project on Sensor Systems for Localization of Trapped Victims in Collapsed Infrastructure (acronym: SORTIE) as an application example. Subsequently, the quantitative and qualitative evaluation methods used generally and specifically for the tabletop exercise of the research project SORTIE are considered, and the technical implementation is explained. The evaluation method used in the tabletop exercise consists of three sub-areas (participant survey; exercise observation; photo, video and audio recordings). Further, the analysis of the evaluation using statistical tools is explained. Finally, this paper refers to possible sources of error in the evaluation of tabletop exercises, such as exercise artificiality and subjectivity of the exercise observers. | ||||
| Address | TH Köln | ||||
| 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 | Command and Control Studies | Expedition | Conference | ||
| Notes | Approved | no | |||
| Call Number | ISCRAM @ idladmin @ | Serial | 2429 | ||
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| Author | Michael Erskine; Scott Seipel; Cayson Seipel | ||||
| Title | Development of a Geospatial Agent-Based Simulation of Disaster Evacuations for Battery Electric Vehicle (BEV) Policy | 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 | 532-540 | ||
| Keywords | Battery Electric Vehicles; Government Policy; Hurricane Evacuation; Geospatial Agent-Based Simulation | ||||
| Abstract | Several nations have signaled their intent to phase out petroleum-based engines for passenger vehicles and promote a transition to battery electric vehicles (BEVs). While researchers have established the long-term environmental benefits of BEVs, there are critical considerations for policymakers in areas prone to natural disasters. This research intends to develop a geospatial-based model to explore and simulate the evacuation of BEVs during a disaster. This work-in-progress (WiPe) paper examines the variables essential to creating an effective hurricane simulation. The final simulation model is intended to allow for the evaluation of BEV policy options under a variety of scenarios. We describe the considerations made during the development of this geospatial agent-based simulation under various hurricane parameters. Finally, we mention the expected benefits of our work and hint at possible policy directions. | ||||
| Address | Middle Tennessee State University; Middle Tennessee State University; Middle Tennessee State University | ||||
| 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 | Geospatial Technologies and Geographic Information Science for Crisis Management | Expedition | Conference | ||
| Notes | Approved | no | |||
| Call Number | ISCRAM @ idladmin @ | Serial | 2437 | ||
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| Author | Rouba Iskandar; Julie Dugdale; Elise Beck; Cécile Cornou | ||||
| Title | PEERS: An integrated agent-based framework for simulating pedestrians' earthquake evacuation | 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 | 86-96 | ||
| Keywords | Seismic risk, human behavior, interdisciplinarity, evacuation, agent-based model | ||||
| Abstract | Traditional seismic risk assessment approaches focus on assessing the damages to the urban fabric and the resultant socio-economic consequences, without adequately incorporating the social component of risk. However, the human behavior is essential for anticipating the impacts of an earthquake, and should be included in quantitative risk assessment studies. This paper proposes an interdisciplinary agent-based modeling framework for simulating pedestrians' evacuation in an urban environment during and in the immediate aftermath of an earthquake. The model is applied to Beirut, Lebanon and integrates geo-spatial, socio-demographic, and quantitative behavioral data corresponding to the study area. Several scenarios are proposed to be explored using this model in order to identify the influence of relevant model parameters. These experiments could contribute to the development of improved of emergency management plans and prevention strategies. | ||||
| Address | Université Grenoble Alpes, ISTerre, Pacte, LIG; Université Grenoble Alpes, LIG; Université Grenoble Alpes, Pacte; Université Grenoble Alpes, ISTerre | ||||
| 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 | AI and Intelligent Systems for Crises and Risks | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
| Notes | rouba.iskandar@univ-grenoble-alpes.fr | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2316 | ||
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| Author | Sofie Pilemalm; Jaziar Radianti; Bjørn Erik Munkvold; Tim A. Majchrzak; Kristine Steen-Tveit | ||||
| Title | Turning Common Operational Picture Data into Double-loop Learning from Crises – can Vision Meet Reality? | 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 | 417-430 | ||
| Keywords | Common operational picture, situation awareness, double-loop learning, crisis management, map-based evaluation | ||||
| Abstract | This study proposes a framework for double-loop learning from crises, using common operational pictures (COP). In most crises, a COP is of outmost importance to gain a common understanding among inter-organizational response. A COP is typically expressed through a map visualization. While the technologies to support COP progress rapidly, the corresponding practice of evaluating the COP and situational awareness is not yet established. Tools that enable responders to learn after the crisis, look back in time on the COP devel-opment and detect the barriers that prevent the COP establishment, still seem absent. Double-loop learning is an organizational practice to learn from previous actions widely adopted in the safety domain, and lately used in crisis management. This paper addresses the perceived gap by presenting the technical, organizational and structural requirements derived from document analysis, observation, and a workshop with multiple crisis management stakeholders, and integrating them to an initial framework. | ||||
| Address | Linköping university; University of Agder; University of Agder; University of Agder; University of Agder | ||||
| 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 | Enhancing Resilient Response in Inter-organizational Contexts | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
| Notes | sofie.pilemalm@liu.se | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2343 | ||
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| Author | Ke Wang; Yongsheng Yang; Genserik Reniers; Jian Li; Quanyi Huang | ||||
| Title | An Attribute-based Model to Retrieve Storm Surge Disaster Cases | 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 | 567-580 | ||
| Keywords | Storm surge disaster, multiple attributes, retrieval model, affected region prediction | ||||
| Abstract | In China, storm surge disasters cause severe damages in coastal regions. One of the most important tasks is to predict affected regions and their relative damage levels to support decision-making. This study develops a two-stage retrieval model to search the most similar past disaster case to complete prediction. Based on spatial attributes of cases, the top-ranking past cases with a similar location to the target case are selected. Among these past cases, the most similar past case is selected by disaster attribute similarities. Three typical storm surge case studies have been used and implemented into this proposed model and the results show that all the most affected regions can be predicted. The proposed model simplifies the prediction process and updates results quickly. This study provides useful information for the government to make real-time response plans. | ||||
| Address | Tsinghua University; Tsinghua University; KU Leuven; Tsinghua University; Tsinghua University | ||||
| 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 | Planning, Foresight and Risk Analysis | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
| Notes | wangke16@mails.tsinghua.edu.cn | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2356 | ||
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| Author | Tobias Hellmund; Jürgen Moßgraber; Manfred Schenk; Philipp Hertweck; Hylke van der Schaaf; Hans Springer | ||||
| Title | The Design and Implementation of ZEUS: Novel Support in Managing Large-Scale Evacuations | 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 | 1003-1014 | ||
| Keywords | Management of Large-Scale Evacuations, Emergency Accommodation Management, Evacuation Management | ||||
| Abstract | This paper introduces ZEUS, a novel software tool for the management of large-scale evacuations. The tasks ZEUS supports were derived from two Standard Operating Procedures, developed on demand of the German federal states. To this date, the authors are not aware of another software tool that gives technical support to the management and control of large-scale evacuations as ZEUS does. It comprises functionalities to (pre-)plan a large-scale evacuation, as well as functions for the management of the flow of evacuees during an evacuation situation. This paper describes how the requirements of ZEUS were derived from the two named planning frameworks and how use-cases were developed to meet the requirements; these use-cases were conceptualized as different steps of a workflow. In an evaluation, the paper gives credit how ZEUS can provide technical support for the evaluation of large-scale evacuations. ZEUS will undergo a two-staged review process: first, a controlled theoretical scenario is tested and, upon successful completion, a practical test on a large scale will be executed. | ||||
| Address | Fraunhofer IOSB; Fraunhofer IOSB; Fraunhofer IOSB; Fraunhofer IOSB; Fraunhofer IOSB; Ministry of Interior, Digitization, and Migration Baden-Württemberg | ||||
| 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 | Other | Expedition | Conference | 18th International Conference on Information Systems for Crisis Response and Management | |
| Notes | tobias.hellmund@iosb.fraunhofer.de | Approved | no | ||
| Call Number | ISCRAM @ idladmin @ | Serial | 2392 | ||
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| Author | Julien Coche; Aurelie Montarnal; Andrea Tapia; Frederick Benaben | ||||
| Title | Automatic Information Retrieval from Tweets: A Semantic Clustering Approach | Type | Conference Article | ||
| Year |
2020 | Publication | ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2020 |
| Volume | Issue | Pages | 134-141 | ||
| Keywords | Information Retrieval; Word Embedding; BERT | ||||
| Abstract | Much has been said about the value of social media messages for emergency services. The new uses related to these platforms bring users to share information, otherwise unknown in crisis events. Thus, many studies have been performed in order to identify tweets relating to a crisis event or to classify these tweets according to certain categories. However, determining the relevant information contained in the messages collected remains the responsibility of the emergency services. In this article, we introduce the issue of classifying the information contained in the messages. To do so, we use classes such as those used by the operators in the call centers. Particularly we show that this problem is related to named entities recognition on tweets. We then explain that a semi-supervised approach might be beneficial, as the volume of data to perform this task is low. In a second part, we present some of the challenges raised by this problematic and different ways to answer it. Finally, we explore one of them and its possible outcomes. | ||||
| Address | IMT Mines Albi; IMT Mines Albi; Penn State University; IMT Mines Albi | ||||
| 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 | 978-1-949373-27-13 | ISBN | 2411-3399 | Medium | |
| Track | AI Systems for Crisis and Risks | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
| Notes | julien.coche@mines-albi.fr | Approved | no | ||
| Call Number | Serial | 2214 | |||
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| Author | Xiaoyan Zhang; Graham Coates; Sarah Dunn; Jean Hall | ||||
| Title | Emergency Evacuation from a Multi-floor Building using Agent-based Modeling | Type | Conference Article | ||
| Year |
2020 | Publication | ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2020 |
| Volume | Issue | Pages | 188-199 | ||
| Keywords | Emergency Evacuation, Agent-based Modeling and Simulation, Multi-floor Building. | ||||
| Abstract | This paper presents an overview of the ongoing research into the development of an agent-based model to enable simulations to be performed of agents evacuating from a multi-floor building with a complex layout, including staircases. Specifically, a flow field of navigation objects is constructed pre-computation, which stores the directions and shortest distances to all exits and staircases. Using the flow field, a navigation method is proposed for agents familiar with the environment to identify and follow the shortest route to a chosen exit. Preliminary simulations have been performed to investigate the effect on evacuation time of (i) exit configurations and (ii) familiarity of agents with the building layout. In assessing the effect of exit configurations, results show that the location of the main entrance has a significant influence on evacuation time. In addition, having more exits does not necessarily lead to a shorter evacuation time. In terms of the effect of familiarity of agents, having more agents with a greater level of familiarity does not significantly reduce evacuation time in most cases. | ||||
| Address | Newcastle University; Newcastle University; Newcastle University; Newcastle University | ||||
| Corporate Author | Thesis | ||||
| Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 978-1-949373-27-18 | ISBN | 2411-3404 | Medium | |
| Track | Analytical Modeling and Simulation | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
| Notes | X.Zhang110@newcastle.ac.uk | Approved | no | ||
| Call Number | Serial | 2219 | |||
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| Author | Anying Chen; Zhongliang Huang; Manchun Liang; Guofeng Su | ||||
| Title | Empirical Study of Individual Evacuation Decision-making in Fire Accidents: Evacuate Intention and Herding Effect | Type | Conference Article | ||
| Year |
2020 | Publication | ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management | Abbreviated Journal | Iscram 2020 |
| Volume | Issue | Pages | 200-209 | ||
| Keywords | Fire Accidents, Evacuation Experiment, Evacuate Intention, Herding Behaviors. | ||||
| Abstract | People's decision of evacuating or not could greatly influence the final losses in fire accidents. In order to study people's response under emergent occasions, a fire accident evacuation drill experiment was conducted in an office building without advance notice. 113 Participants' response and their decision-making process were collected by questionnaire survey right after the experiment. In this study, we mainly focused on two aspects of people's response, including participants' evacuate intention and their herding tendency during evacuate decision-making. It is found that the classical Expected Utility Theory (EUT) has certain limitation in explaining individual's evacuation intention, but the relationship between the expected utility and the evacuation intention could be represented with a modified model based on EUT. Furthermore, the herding tendency is found to be different for the two groups of people who intend to evacuate and not to evacuate. People who firstly intend not to evacuate are more easily to form herding behavior and change their minds to evacuate. Based on these findings, models of individual evacuation intention and herding tendency for two groups of people are put forward. Simulation is conducted to investigate the effect of these two changes in people's evacuation decision-making process, and results show that they both increase the final evacuation rate, reflecting the majority's risk aversion characteristics. | ||||
| Address | Tsinghua University;Tsinghua University; Tsinghua University; Tsinghua University | ||||
| Corporate Author | Thesis | ||||
| Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 978-1-949373-27-19 | ISBN | 2411-3405 | Medium | |
| Track | Analytical Modeling and Simulation | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
| Notes | chenay15@mails.tsinghua.edu.cn | Approved | no | ||
| Call Number | Serial | 2220 | |||
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| Author | Duygu Pamukcu; Christopher W. Zobel; Andrew Arnette | ||||
| Title | Characterizing Social Community Structures in Emergency Shelter Planning | 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 | 228-236 | ||
| Keywords | Evacuation Planning; Sheltering; Simulation; Social Network; Group Behavior | ||||
| Abstract | During emergencies, it is often necessary to evacuate vulnerable people to safer places to reduce loss of lives and cope with human suffering. Shelters are publically available places to evacuate, especially for people who do not have any other choices. This paper overviews emergency shelter planning in disaster mitigation and preparation and discusses the need for better responding to people who need to evacuate during emergencies. Recent evacuation studies pay attention to integrating social factors into evacuation modeling for better prediction of evacuation decisions. Our goal is to address the impact of social behavior on the sheltering choices of evacuees and to explore the potential contributions of including social network characteristics in the decision-making process of authorities. We present the shelter utilization problem in South Carolina during Hurricane Florence and discuss an agent-based modeling approach that considers social community structures in modeling the shelter choice behavior of socially connected individuals. | ||||
| Address | Virginia Tech; Virginia Tech; University of Wyoming | ||||
| 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 | 978-1-949373-27-22 | ISBN | 2411-3408 | Medium | |
| Track | Analytical Modeling and Simulation | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
| Notes | duygu@vt.edu | Approved | no | ||
| Call Number | Serial | 2223 | |||
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| Author | Yangyang Meng; Xiangliang Tian; Chang Liu; Zhongwen Li; Zhijie Zhou; Maohua Zhong | ||||
| Title | Research on Emergency Capability Evaluation of Network Operation-Based Urban Rail Transit | 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 | 530-544 | ||
| Keywords | Urban Rail Transit; Network Operation; Emergency Capability Evaluation; Evaluation Index System. | ||||
| Abstract | In the process of network operation, it is of great significance to evaluate the emergency capability for the safety and resilience of urban rail transit. In this work, we proposed an emergency capability evaluation model of network operation-based urban rail transit by building a four-level index system. AHP (Analytic Hierarchy Process) method demonstrated the effectiveness of the evaluation index system. The ranking of index importance Wi characterizes the emergency capability of network operation-based urban rail transit. Taking Shenzhen Metro as an example, this study analyzed the risk in the actual network operation, evaluated the emergency capability of network operation and calculated the comprehensive score of emergency capability. Furthermore, based on the correlation analysis results from the emergency capability indexes, we put forward some measures to improve the weaker indexes in the evaluation. The results indicate that the emergency capability evaluation method of network operation-based urban rail transit proposed in this study can better guide the emergency management of network operation-based urban rail transit. | ||||
| Address | Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China; Shenzhen Metro Group Co., Ltd, Shenzhen, China; Shenzhen Metro Group Co., Ltd, Shenzhen, China; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China Beijing Key Laboratory of City Integrated Emergency Response Science, Tsinghua 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 | 978-1-949373-27-50 | ISBN | 2411-3436 | Medium | |
| Track | Planning, Foresight and Risk Analysis | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
| Notes | mengyy17@mails.tsinghua.edu.cn | Approved | no | ||
| Call Number | Serial | 2251 | |||
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| Author | Matti Wiegmann; Jens Kersten; Friederike Klan; Martin Potthast; Benno Stein | ||||
| Title | Analysis of Detection Models for Disaster-Related Tweets | 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 | 872-880 | ||
| Keywords | Tweet Filtering; Crisis Management; Evaluation Framework | ||||
| Abstract | Social media is perceived as a rich resource for disaster management and relief efforts, but the high class imbalance between disaster-related and non-disaster-related messages challenges a reliable detection. We analyze and compare the effectiveness of three state-of-the-art machine learning models for detecting disaster-related tweets. In this regard we introduce the Disaster Tweet Corpus~2020, an extended compilation of existing resources, which comprises a total of 123,166 tweets from 46~disasters covering 9~disaster types. Our findings from a large experiments series include: detection models work equally well over a broad range of disaster types when being trained for the respective type, a domain transfer across disaster types leads to unacceptable performance drops, or, similarly, type-agnostic classification models behave more robust at a lower effectiveness level. Altogether, the average misclassification rate of~3,8\% on performance-optimized detection models indicates effective classification knowledge but comes at the price of insufficient generalizability. | ||||
| Address | Bauhaus-Universit\“at Weimar German Aerospace Center (DLR); German Aerospace Center (DLR); German Aerospace Center (DLR); Leipzig University; Bauhaus-Universit\”at Weimar | ||||
| 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 | 978-1-949373-27-77 | ISBN | 2411-3463 | Medium | |
| Track | Social Media for Disaster Response and Resilie | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
| Notes | matti.wiegmann@uni-weimar.de | Approved | no | ||
| Call Number | Serial | 2278 | |||
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| Author | Nasik Muhammad Nafi; Avishek Bose; Sarthak Khanal; Doina Caragea; William H. Hsu | ||||
| Title | Abstractive Text Summarization of Disaster-Related Documents | 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 | 881-892 | ||
| Keywords | Disaster Reporting; Text Summarization; Information Extraction; Reinforcement Learning; Evaluation Metrics | ||||
| Abstract | Abstractive summarization is intended to capture key information from the full text of documents. In the application domain of disaster and crisis event reporting, key information includes disaster effects, cause, and severity. While some researches regarding information extraction in the disaster domain have focused on keyphrase extraction from short disaster-related texts like tweets, there is hardly any work that attempts abstractive summarization of long disaster-related documents. Following the recent success of Reinforcement Learning (RL) in other domains, we leverage an RL-based state-of-the-art approach in abstractive summarization to summarize disaster-related documents. RL enables an agent to find an optimal policy by maximizing some reward. We design a novel hybrid reward metric for the disaster domain by combining \underline{Vec}tor Similarity and \underline{Lex}icon Matching (\textit{VecLex}) to maximize the relevance of the abstract to the source document while focusing on disaster-related keywords. We evaluate the model on a disaster-related subset of a CNN/Daily Mail dataset consisting of 104,913 documents. The results show that our approach produces more informative summaries and achieves higher \textit{VecLex} scores compared to the baseline. | ||||
| Address | Kansas State University; Kansas State University; Kansas State University; Kansas State University; Kansas State University | ||||
| Corporate Author | Thesis | ||||
| Publisher | Virginia Tech | Place of Publication | Blacksburg, VA (USA) | Editor | Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language | English | Summary Language | English | Original Title | |
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 978-1-949373-27-78 | ISBN | 2411-3464 | Medium | |
| Track | Social Media for Disaster Response and Resilie | Expedition | Conference | 17th International Conference on Information Systems for Crisis Response and Management | |
| Notes | nnafi@ksu.edu | Approved | no | ||
| Call Number | Serial | 2279 | |||
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| Author | Anne-Marie Barthe-Delanoë; Wenxin Mu | ||||
| 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 | |||
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| Author | Ingo J. Timm; Bernhard Hess; Fabian Lorig | ||||
| Title | Data Acquisition for ad-hoc Evacuation Simulations of Public Buildings | 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 | Evacuation of Public Buildings, Data Fusion, Data Aggregation, Crowd Simulation, Social Simulation | ||||
| Abstract | Crowd simulation is suitable to evaluate evacuation strategies but its validity strongly depends on the quality of input data. The acquisition of adequate input data is particularly challenging when simulating the evacuation of public buildings such as universities. As they are publicly accessible, the exact number of persons on site is unknown. Yet, to investigate specific emergency situations by means of simulation, e.g. amok or fire, information is required about distribution and amount of people within the building at a specific point of time. Due to data privacy, public buildings do not implement access control. However, data artifacts are available in various information systems, e.g., wifi data, room administration. Our hypothesis is, that the acquisition and fusion of such data artifacts is sufficient to enable data-based ad-hoc simulation of evacuation scenarios as decision support for the operations management. To this end, we introduce a procedure for the situation-dependent collection fusion of simulation input data. Furthermore, a case study is provided to demonstrate the feasibility of the approach. |
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| Address | Trier University, Germany | ||||
| 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 | T5- Intelligent and Semantic Web Systems | Expedition | Conference | 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) | |
| Notes | Approved | no | |||
| Call Number | Serial | 1949 | |||
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