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Author (up) Simon French; Nikos Argyris; Jim Q. Smith; Stephanie Haywood; Matthew Hort
Title Uncertainty Handling during Nuclear Accidents 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 15-24
Keywords Deep uncertainty; displaying spatial uncertainty; nuclear emergency management; scenario-focused analysis
Abstract In the years following Chernobyl, many reports and projects reflected on how to improve emergency management processes in dealing with an accidental offsite release of radiation at a nuclear facility. A common observation was the need to address the inevitable uncertainties. Various suggestions were made and some of these were researched in some depth. The Fukushima Daiichi Disaster has led to further reflections. However, many of the uncertainties inherent in responding to a threatened or actual release remain unaddressed in the analyses and model runs that are conducted to support the emergency managers in their decision making. They are often left to factor in allowances for the uncertainty through informal discussion and unsupported judgement, and the full range of sources of uncertainty may not be addressed. In this paper, we summarise the issues and report on a project which has investigated the handling of uncertainty in the UK’s national crisis cell. We suggest the R&D programmes needed to provide emergency managers with better guidance on uncertainty and how it may affect the consequences of taking different countermeasures.
Address University of Warwick; University of Loughborough; Public Health England; The Met Office
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1442
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Author (up) Sofia Eleni Spatharioti; Rebecca Govoni; Jennifer S. Carrera; Sara Wylie; Seth Cooper
Title A Required Work Payment Scheme for Crowdsourced Disaster Response: Worker Performance and Motivations 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 475-488
Keywords crowdsourcing; Amazon Mechanical Turk; payment; motivation; required work
Abstract Crowdsourcing is an increasingly popular approach for processing data in response to disasters. While volunteer crowdsourcing may suÿce for high-profile disasters, paid crowdsourcing may be necessary to recruit workers for less prominent events. Thus, understanding the impact of payment schemes on worker behavior and motivation may improve outcomes. In this work, we presented workers recruited from Amazon Mechanical Turk with a disaster response task in which they could provide a variable number of image ratings. We paid workers a fixed amount to provide a minimum number of image ratings, allowing them to voluntarily provide more if desired; this allowed us to examine the impact of diË™erent amounts of required work. We found that requiring no ratings resulted in workers voluntary completing more work, and being more likely to indicate motivation related to interest on a post survey, than when small numbers of ratings were required. This is consistent with the motivational crowding-out eË™ect, even in paid crowdsourcing. We additionally found that providing feedback on progress positively impacted the amount of work done.
Address Northeastern University; Michigan State University
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 1482
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Author (up) Sofia Eleni Spatharioti; Seth Cooper
Title On Variety, Complexity, and Engagement in Crowdsourced Disaster Response Tasks 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 489-498
Keywords crowdsourcing; Amazon Mechanical Turk; variety; complexity; engagement
Abstract Crowdsourcing is used to enlist workers as a resource for a variety of applications, including disaster response. However, simple tasks such as image labeling often feel monotonous and lead to worker disengagement. This provides a challenge for designing successful crowdsourcing systems. Existing research in the design of work indicates that task variety is a key factor in worker motivation. Therefore, we asked Amazon Mechanical Turk workers to complete a series of disaster response related subtasks, consisting of either image labeling or locating photographed areas on a map. We varied the frequency at which workers encountered the di˙erent subtask types, and found that switching subtask type at di˙erent frequencies impacted measures of worker engagement. This indicates that a certain amount of variety in subtasks may engage crowdsourcing workers better than uniform subtask types.
Address Northeastern University
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 1483
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Author (up) Stephen Kelly; Xiubo Zhang; Khurshid Ahmad
Title Mining Multimodal Information on Social Media for Increased Situational Awareness 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 613-622
Keywords Spatio-temporal; Social media analysis; Multimodal analysis; Geolocation
Abstract Social media platforms have become a source of high volume, real-time information describing significant events in a timely fashion. In this paper we describe a system for the real-time extraction of information from text and image content in Twitter messages and combine the spatio-temporal metadata of the messages to filter the data stream for emergency events and visualize the output on an interactive map. Twitter messages for a geographic region are monitored for flooding events by analysing the text content and images posted. Events detected are compared with a ground truth to see if information in social media correlates with actual events. We propose an Intrusion Index as part of this prototype to facilitate ethical harvesting of data. A map layer is created by the prototype system that visualises the analysis and filtered Twitter messages by geolocation.
Address rinity College Dublin, Ireland
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 1495
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Author (up) Takuya Oki; Toshihiro Osaragi
Title Evaluation of Conversion to Quake-Resistant Buildings in Terms of Wide-Area Evacuation and Fire-Brigade Accessibility 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 25-41
Keywords Conversion; quake-resistant building; property damage; wide-area evacuation; fire-brigade
Abstract It is important to evaluate the effects of improving the disaster vulnerability of towns by using various indices related to human damage. In this paper, we focus on conversion of low quake-resistant old buildings. Firstly, we construct a simulation model, which describes property damage (such as building-collapse and street-blockage), wide-area evacuation behavior, and fire-brigade’s activities immediately after a large earthquake occurs. Next, using the simulation model, we estimate the travel time required for evacuation, the number of evacuees trapped on streets (or in blocks), and the access time of fire-brigades to fires in case that the ratio of quake-resistant buildings in the area increases to a certain value. Based on the results, we discuss the effects by converting old buildings into quake-resistant ones on reducing the difficulty in wide-area evacuation and improving the accessibility of fire-brigades in multiple study areas with different characteristics.
Address Tokyo Institute of Technology
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1443
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Author (up) Tanaporn Panrungsri; Esther Sangiamkul
Title Business Intelligence Model for Disaster Management: A Case Study in Phuket, Thailand 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 727-738
Keywords Business Intelligence; data warehousing; decision support system; conceptual model; disaster management
Abstract This research presents the conceptual Business Intelligence (BI) model for disaster management. BI can provide agility capacity for decision making in dynamic environment among different agencies. This project designs and develop a data warehouse using multi-dimensional model for severity analysis of flood and landslide in risk area using case study from Department of disaster prevention and mitigation (DDMP), Phuket, Thailand. The concept of BI can be applied for extremely heterogeneous data structures and data platform environment to improve data quality and expose to better decision-making for disaster management. In the next stage of this project, we will integrate more data sources from other agencies for example GIS data from Phuket land-use planning and flooding prediction model database. The result of this study will help organization deploy BI more effectively.
Address Faculty of Technology and Environment, Prince of Songkla University, Phuket, Thailand
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Operational applications and perspectives Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1506
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Author (up) Tilo Mentler
Title Applying Usability Engineering to Interactive Systems for Crisis and Disaster Management 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 929-938
Keywords Usability Engineering; Risk Management; Medical Devices; User-Centered System Design
Abstract Crisis and disaster management are increasingly characterized by interactive systems intended to be valuable support for professionals and volunteers in preventing, preparing for, responding to and recovering from major incidents and accidents. Therefore, usability in terms of safe and efficient usage of computer-based solutions becomes a crucial factor for successful crisis and disaster management. In order to ensure usability, it has to be addressed systematically throughout any development process. In this paper, established engineering approaches to crisis and disaster management systems are summarized. Subsequently, resemblances (e.g. diversity of users and devices) and differences (e.g. scalability) between safety-critical contexts of medical device design and crisis management are outlined. Following this, recommendations for applying usability engineering processes to disaster management are derived from standards and guidelines according to medical device design (IEC 62366-1:2015, ISO 14971:2007). Particularly, relationships and interactions between usability engineering and risk managements measures (e.g. hazard-related use scenarios) are described.
Address Institute for Multimedia and Interactive Systems (IMIS), University of Luebeck, Germany
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Prevention and Preparation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1523
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Author (up) Tim Grant
Title A Meta-theory of Command & Control in Emergency Management 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 234-245
Keywords Command and control; doctrine; meta-theory; scientific discipline; entity-relationship modelling
Abstract This paper presents work in progress on developing a meta-theory of C2 in emergency management. Most research in C2 focuses just on one or two scientific disciplines. Just one paper has been found that gives a systematic overview of the science of C2. The approach taken employs entity-relationship modelling, yielding a set of scientific disciplines. These disciplines are compared with five military C2 doctrine publications. Doctrine found in at least four publications corresponded to the disciplines of decision theory, leadership theory, organizational theory, psychology, and the degree of delegation. Some topics not covered by the disciplines were found, indicating that analysis should be extended to C2 processes, resilience, and agility, permitting the development of guidance for practitioners. Further work is needed to compare the disciplines with civilian doctrine. Moreover, the disciplines could be compared to ICCRTS and ISCRAM conference proceedings, yielding an assessment of the maturity of C2 research.
Address Retired But Active Researcher (R-BAR)
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Command and control studies Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1460
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Author (up) Tina Comes; Frédérick Benaben; Chihab Hanachi; Matthieu Lauras; Aurélie Montarnal (eds)
Title 14th ISCRAM Conference Proceedings (Full Text) Type Conference Article
Year 2017 Publication ISCRAM 2017 Conference Proceedings – 14th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2017
Volume Issue Pages
Keywords
Abstract Conference Theme & Structure: Agility is coming!

This year’s conference theme is “Agility is coming”. Through information systems, we have access to data in real-time. Agility enables responders and communities to react quickly to such information, set up collaboration mechanisms as needed, and jointly improve response and recovery processes and strategies. As such, agility is one of the keys for building more resilient societies.
Address IMT Mines Albi-Carmaux (École Mines-Télécom)
Corporate Author Thesis
Publisher IMT Mines Albi-Carmaux (École Mines-Télécom) Place of Publication Albi, France Editor Tina Comes;Frédérick Benaben;Chihab Hanachi;Matthieu Lauras;Aurélie Montarnal
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 Expedition Conference 14th International Conference on Information Systems for Crisis Response and Management
Notes Approved yes
Call Number Serial 1440
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Author (up) Tom Wilson; Stephanie A. Stanek; Emma S. Spiro; Kate Starbird
Title Language Limitations in Rumor Research? Comparing French and English Tweets Sent During the 2015 Paris Attacks 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 546-553
Keywords social media; rumoring, language; crisis informatics; information diffusion
Abstract The ubiquity of social media facilitates widespread participation in crises. As individuals converge online to understand a developing situation, rumors can emerge. Little is currently known about how online rumoring behavior varies by language. Exploring a rumor from the 2015 Paris Attacks, we investigate Twitter rumoring behaviors across two languages: French, the primary language of the affected population; and English, the dominant language of Internet communication. We utilize mixed methods to qualitatively code and quantitatively analyze rumoring behaviors across French and English language tweets. Most interestingly, temporal engagement in the rumor varies across languages, but proportions of tweets affirming and denying a rumor are very similar. Analyzing tweet deletions and retweet counts, we find slight (but not significant) differences between languages. This work offers insight into potential limitations of previous research of online rumoring, which often focused exclusively on English language content, and demonstrates the importance of considering language in future work.
Address Human Centered Design and Engineering, University of Washington ; Information School, Department of Sociology, University of Washington
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 1488
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Author (up) Ulrich Meissen; Frank Fuchs-Kittowski; Michael Jendreck; Stefan Pfennigschmidt; Markus Hardt; Agnès Voisard
Title A general system architecture and design for the coordination of volunteers for agile disaster response 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 890-900
Keywords Crisis and disaster management; Response; Alerting; Crowdsourcing; Crowdtasking; Volunteer system; Architecture; System design; System test
Abstract In the recent decade the evolvement and widespread success of new technologies in particular in the field of computing power, network bandwidth, mobile networks and wearable devices have prepared the foundation for completely new approaches in crisis management. Currently, we are at the edge that such new technologies for crisis management are becoming a real and practically applicable option, e.g. in the field of alerting, crowdsourcing, and crowdtasking. In parallel, we witness in the recent years that citizens are more and more willing to help during crisis and disasters, thus providing a large – yet unused – potential for agile support in disaster preparation and response. In many disaster situations the emergency personnel reach the limits of their capabilities. In particular during the isolation phase the support of such volunteers can be a valuable benefit for disaster response. With the help of new technologies crisis management can provide current on-site information via mobile devices in real time as well as organize and coordinate the activities of the volunteers at specific locations. In this paper we present the results of the research project ENSURE: a general architecture and a system design for the coordination of spontaneous volunteers for agile disaster response. With the expected broader implementation of such systems in disaster management in the future it is inevitable to elaborate such common technological foundations for practical mass applications.
Address Fraunhofer FOKUS, Berlin; Fraunhofer FU, Berlin; Fraunhofer HTW, Berlin
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 New Technologies for Crisis Management Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1520
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Author (up) Veronika Zettl; Thomas Ludwig; Christoph Kotthaus; Sascha Skudelny
Title Embedding Unaffiliated Volunteers in Crisis Management Systems: Deploying and Supporting the Concept of Intermediary Organizations 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 421-431
Keywords Crisis; Disaster Control; Civil Society; Embedding Unaffiliated and Spontaneous Volunteers; Intermediary Organizations
Abstract Citizens engaging in crisis management spontaneously and without affiliation to an (honorary) aid organization are a social phenomenon on the rise. Even though public engagement is desirable, it receives mixed reactions by crisis management experts. They claim that “the crowd” has to be managed to ensure a successful crisis response and recovery, leading to high coordination efforts which cannot be achieved by the authorities. To understand the obstacles in cooperation and to overcome them better, this study examines existing patterns of cooperation. The study employed in-depth interviews (n=13) in two use cases (flooding, n=4; migrant crisis, n=9) with public authorities, aid organizations and engaged citizens. Results indicate that collaboration works successfully when an intermediary organization bridges the coordination gap between authorities and the public. In addition to the concept of intermediary organizations, two ICT approaches supporting collaboration in crisis events are described: Public Displays and the so-called ‘Security Arena’.
Address University of Stuttgart IAT; University of Siegen
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Resilience engineering and management Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1477
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Author (up) Vitaveska Lanfranchi
Title Machine Learning and Social Media in Crisis Management: Agility vs Ethics 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 256-265
Keywords Machine Learning; Social Media; Intelligent systems; Ethics; Privacy; Mitigation Strategies
Abstract One of the most used sources of information for fast and flexible crisis information is social media or crowdsourced data, as the information is rapidly disseminated, can reach a large amount of target audience and covers a wide variety of topics. However, the agility that these new methodologies enable comes at a price: ethics and privacy. This paper presents an analysis of the ethical risks and implications of using automated system that learn from social media data to provide intelligence in crisis management. The paper presents a short overview on the use of social media data in crisis management to then highlight ethical implication of machine learning and social media data using an example scenario. In conclusion general mitigation strategies and specific implementation guidelines for the scenario under analysis are presented.
Address OAK Group, Department of Computer Science, University of Sheffield
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Ethical, Legal and Social Issues Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1462
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Author (up) Xiaodan Yu; Deepak Khazanchi
Title Studying Virtual Teams during Organizational Crisis from a Sociomaterial Perspective 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 1055
Keywords Virtual team; sociomaterialism; organizational crisis; shared mental models; adaptive use of IT
Abstract In this paper, we propose sociomaterialism as a theoretical lens for studying virtual team management during organizational crisis. In applying this lens, we propose the use of pattern theory as the method of choice for documenting effective practices for managing virtual teams in organizational crisis settings.
Address University of International Business and Economics, Beijing, China; University of Nebraska at Omaha, Omaha, USA
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Future Trends Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1534
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Author (up) Xiaoyan Zhang; Graham Coates; Xiaoyang Ni
Title Agent-based Modelling and Simulation for Lecture Theatre Emergency Evacuation 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 63-71
Keywords Emergency evacuation; agent-based modelling and simulation
Abstract This paper presents an overview of ongoing research into the implementation of an agent-based model aimed at providing decision support for the layout design of lecture theatres and human behavioural management in emergency evacuation. The model enables the spatial layout of lecture theatres to be configured and incorporates agent behaviours at the basic movement and individual level. In terms of individual behaviours, agents can be competitive, cooperative, climb obstacles (e.g. seating and desks) and fall down. Two cases are investigated to evaluate the effects of different exit locations in lecture theatres and competitive behaviour of agents on evacuation efficiency in multiple scenarios.
Address China University of Geosciences, Wuhan; Durham University
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1446
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Author (up) Xiujuan Zhao; Graham Coates; Wei Xu
Title Solving the earthquake disaster shelter location-allocation problem using optimization heuristics 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 50-62
Keywords Earthquake shelter location-allocation; multi-objective optimization; GA; MPSO
Abstract Earthquakes can cause significant disruption and devastation to populations of communities. Thus, in the event of an earthquake, it is necessary to have the right number of disaster shelters, with the appropriate capacity, in the right location in order to accommodate local communities. Mathematical models, allied with suitable optimization algorithms, have been used to determine the locations at which to construct disaster shelters and allocate the population to them. This paper compares the use of two optimization algorithms, namely a genetic algorithm and a modified particle swarm optimization, both of which have advantages and disadvantages when solving the disaster shelter location-allocation problem.
Address Beijing Normal University; Durham University
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1445
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Author (up) Yan Wang; Hong Huang; Lida Huang; Minyan Han; Yiwu Qian; Boni Su
Title An Agile Framework for Detecting and Quantifying Hazardous Gas Releases 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 42-49
Keywords Hazardous gas release; mobile sensing; data fusion; leakage detection; source term estimation
Abstract In response to the threat of hazardous gas releases to public safety and health, we propose an agile framework for detecting and quantifying gas emission sources. Emerging techniques like high-precision gas sensors, source term estimation algorithms and Unmanned Aerial Vehicles are incorporated. The framework takes advantage of both stationary sensor network method and mobile sensing approach for the detection and quantification of hazardous gases from fugitive, accidental or deliberate releases. Preliminary results on street-level detection of urban natural gas leakage is presented. Source term estimation is demonstrated through a synthetic test case, and is verified using Cramér–Rao bound analysis.
Address Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University, Beijing, China; Beijing Define Technology Co., Ltd, Beijing, China; Hefei Institute for Public Safety Research, Tsinghua University, Hefei, China
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1444
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Author (up) Yan Wang; John E. Taylor
Title Tracking urban resilience to disasters: a mobility network-based approach 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 97-109
Keywords Fisher information; human mobility; network analysis; Twitter; urban resilience
Abstract Disaster resilience is gaining increasing attention from both industry and academia, but difficulties in operationalizing the concept remain, especially in the urban context. Currently, there is scant literature on measuring both spatial and temporal aspects of resilience empirically. We propose a bio-inspired quantitative framework to track urban resilience to disasters. This framework was built upon a daily human mobility network, which was generated by geolocations from a Twitter Streaming API. System-wide metrics were computed over time (i.e. pre-, during and post-disasters). Fisher information was further adopted to detect the perturbation and dynamics in the system. Specifically, we applied the proposed approach in a flood case in the metropolis of São Paulo. The proposed approach is efficient in uncovering the dynamics in human movements and the underlying spatial structure. It adds to our understanding of the resilience process in urban disasters.
Address Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech; School of Civil and Environmental Engineering, Georgia Tech
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1449
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Author (up) Yoshiki Ogawa; Yuki Akiyama; Ryosuke Shibasaki
Title Extraction of significant scenarios for earthquake damage estimation using sparse modeling 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 150-163
Keywords Big data; Mobile phone GPS logs; People flow; Micro geodata; Damage distribution
Abstract The recent diversification and accumulation of data from GPS equipped mobile phones, building sensors, and other resources in Japan has caused a large increase in the number of earthquake disaster scenarios that can be identified. Disaster prevention planning requires us to contemplate which scenario should be focused on and the required response to various scenarios. As a means to solve this problem, the damage distribution of building collapse and fire from GPS data can be used to estimate future damage based on people flow and various hypocenter models of earthquakes. We propose a method that uses sparse modeling to extract scenarios that are important for disaster estimation and prevention. As a result, this paper makes it possible to quickly grasp the scenario distribution, which was previously impossible to do, and to extract the significant scenarios.
Address The University of Tokyo
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 Analytical Modeling and Simulation Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 1453
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Author (up) Zoha Sheikh; Hira Masood; Sharifullah Khan; Muhammad Imran
Title User-Assisted Information Extraction from Twitter During Emergencies 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 684-691
Keywords social media; disaster response; query expansion; supervised learning
Abstract Disasters and emergencies bring uncertain situations. People involved in such situations look for quick answers to their rapid queries. Moreover, humanitarian organizations look for situational awareness information to launch relief operations. Existing studies show the usefulness of social media content during crisis situations. However, despite advances in information retrieval and text processing techniques, access to relevant information on Twitter is still a challenging task. In this paper, we propose a novel approach to provide timely access to the relevant information on Twitter. Specifically, we employee Word2vec embeddings to expand initial users queries and based on a relevance feedback mechanism we retrieve relevant messages on Twitter in real-time. Initial experiments and user studies performed using a real world disaster dataset show the significance of the proposed approach.
Address National University of Sciences and Technology, Islamabad, Pakistan; Qatar Computing Research Institute, HBKU Doha, Qatar
Corporate Author Thesis
Publisher Place of Publication Albi, France Editor Tina Comes, Frédérick Bénaben, 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 1502
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