ISCRAM Digital Library -- Query Results

	ISCRAM Digital Library Home \| Show All \| Simple Search \| Advanced Search	Login Quick Search: Field: contains: ...
	101–125 of 160 records found matching your query (RSS):

Search & Display Options

Select All Deselect All

<< 1 2 3 4 5 6 7 >>

List View

Citations

Details

	Records
	Author	Tzu-Yin CHANG; Shang-Yu Wu; Jyun-Yuan Chen
	Title	Mobile Communication Technology and Cell Broadcast Service for Emergency Alerts			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	97-102
	Keywords	Public warning system, cell broadcast service, natural disaster, alerts
	Abstract	Taiwan is located in the collision zones between two continental plates collide. From the perspective of plate tectonics, the paleo-tectonic environment of the Taiwan and its surrounding areas are rather complex and active due to the tectonic compression of the Eurasian Plate and Philippine Sea Plate. This has resulted in frequent earthquakes in Taiwan. In addition, the tropical and subtropical climate drives not only weathering and erosion of surface rocks, but also typhoon or monsoon triggered torrential and heavy rains in summer and autumn. For downstream land subsidence areas with poor discharge capacity, it is therefore often to have serious floods and resulted in large-scale disasters that endanger citizens' lives and property. Affected by climate change, high urban density and overexploitation of land resources, Taiwan has a substantial increase in natural disasters over the last couple of years. As the country is confronted by unfavorable environment and climate conditions, how disaster alerts and information are accurately and timely released has become an important topic for facilitating the evacuation of citizens and dispatch of disaster relief personnel. This study has combined the mobile communications technology to enable our government to, with the Cell Broadcast Service (CBS), instantly send messages to all 4G and 3G (WCDMA) mobile users within the coverage of designated base stations and without being affected by the network congestion through independent channels. This will help timely notify citizens to evacuate and reduce casualties.
	Address	National Science and Technology Center for Disaster Reduction; National Science and Technology Center for Disaster Reduction; National Science and Technology Center for Disaster Reduction
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Monitoring and Alerting Systems supporting Business as Usual and Emergency Warnings	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1666
Share this record to Facebook



	Author	Lida Huang; Guoray Cai; Hongyong Yuan; Jianguo Chen; Yan Wang; Feng Sun
	Title	Modeling Threats of Mass Incidents Using Scenario-based Bayesian Network Reasoning			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	121-134
	Keywords	Bayesian network, mass incidents, threat assessment, scenario analysis, interpretive structural modeling.
	Abstract	Mass incidents represent a global problem, putting potential threats to public safety. Due to the complexity and uncertainties of mass incidents, law enforcement agencies lack analytical models and structured processes for anticipating potential threats. To address such challenge, this paper presents a threat analysis framework combining the scenario analysis method and Bayesian network (BN) reasoning. Based on a case library
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2094
Share this record to Facebook



	Author	Derek Phyn
	Title	New Zealand GIS for Emergency Management (NZGIS4EM): Making GIS and its practitioners integral to emergency management in New Zealand			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	223-232
	Keywords	GIS Emergency Management New Zealand
	Abstract	Geographic Information Systems (GIS) have often been poorly considered, planned and implemented across New Zealand's emergency management sector. GIS practitioners involved in emergency management events are often the ones who suffer the consequences of this. Recent significant events have reinforced both the need for a nation-wide coordinated, planned and pro-active approach to implementing GIS for emergency management, and the advantages that GIS can offer to the emergency management sector if implemented properly. This paper offers insights into the “grass roots” foundation of a community called New Zealand GIS for Emergency Management (NZGIS4EM) to address these issues. In its founding year (2017/2018) the priority for an interim NZGIS4EM committee has been to establish the foundation of the community, this is primarily administrative projects. Several other subject targeted projects are also underway or planned relating to data, standards, symbology, common operating picture and interoperability. Key challenges for NZGIS4EM relate to a shortage of funding, logistics of physical meetings, current lack of governance and a lack of legal mandate in New Zealand to enforce standards for emergency management. Attention in the sector is now moving towards the implementation of a Common Operating (or Operational) Picture (COP). Key messages that the author believes are pertinent include: that it's not all about the tools; plan big, but then prioritise and implement small; ensure the COP is used BAU; minimal or no training should be required; ensure it is quicker for frontline users; ensure there is a plan B and a plan C if the internet and/or power goes out; identify and lobby agencies who should be the authoritative source of truth for essential data; implement phases of response for information requirements; consider national and/or regional hosting of platforms, and; recognize that real-time crowd sourced data may be the future of intelligence and plan for that.
	Address	Waikato Regional Council
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1646
Share this record to Facebook



	Author	Laura Petersen; Laure Fallou; Grigore Havarneanu; Paul Reilly; Elisa Serafinelli; Rémy Bossu
	Title	November 2015 Paris Terrorist Attacks and Social Media Use: Preliminary Findings from Authorities, Critical Infrastructure Operators and Journalists			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	629-638
	Keywords	Social media, crisis communication, situational awareness, Paris terrorist attacks, terrorism.
	Abstract	Crisis communication is a key component of an effective emergency response. Social media has evolved as a prominent crisis communication tool. This paper reports how social media was used by authorities, critical infrastructure operators and journalists during the terrorist attacks that hit Paris on 13th November 2015. A qualitative study was conducted between January and February 2017 employing semi-structured interviews with seven relevant stakeholders involved in this communication process. The preliminary critical thematic analysis revealed four main themes which are reported in the results section: (1) social media is used in crisis times; (2) authorities gained situational awareness via social media; (3) citizens used social media to help one another; and (4) communication procedures changed after these critical events. In conclusion, authorities, citizens and journalists all turned to social media during the attack, both for crisis communication and for increasing situational awareness.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Social Media Studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2137
Share this record to Facebook



	Author	Federico Angaramo; Claudio Rossi
	Title	Online clustering and classification for real-time event detection in Twitter			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	1098-1107
	Keywords	Event detection, Social Media, Clustering, Machine Learning, Twitter
	Abstract	Event detection from social media is a challenging task due to the volume, the velocity and the variety of user-generated data requiring real-time processing. Despite recent works on this subject, a generalized and scalable approach that could be applied across languages and topics has not been consolidated, yet. In this paper, we propose a methodology for real-time event detection from Twitter data that allows users to select a topic of interest by defining a simple set of keywords and a matching rule. We implement the proposed methodology and evaluate it with real data to detect different types of events.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT)	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2182
Share this record to Facebook



	Author	Efstratios Kontopoulos; Panagiotis Mitzias; Jürgen Moßgraber; Philipp Hertweck; Hylke van der Schaaf; Désirée Hilbring; Francesca Lombardo; Daniele Norbiato; Michele Ferri; Anastasios Karakostas; Stefanos Vrochidis; Ioannis Kompatsiaris
	Title	Ontology-based Representation of Crisis Management Procedures for Climate Events			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	1064-1073
	Keywords	Crisis management, ontology, semantic integration, decision support, description logics
	Abstract	One of the most critical challenges faced by authorities during the management of a climate-related crisis is the overwhelming flow of heterogeneous information coming from humans and deployed sensors (e.g. cameras, temperature measurements, etc.), which has to be processed in order to filter meaningful items and provide crisis decision support. Towards addressing this challenge, ontologies can provide a semantically unified representation of the domain, along with superior capabilities in querying and information retrieval. Nevertheless, the recently proposed ontologies only cover subsets of the relevant concepts. This paper proposes a more “all-around” lightweight ontology for climate crisis management, which greatly facilitates decision support and merges several pertinent aspects: representation of a crisis, climate parameters that may cause climate crises, sensor analysis, crisis incidents and related impacts, first responder unit allocations. The ontology could constitute the backbone of the decision support systems for crisis management.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT)	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2178
Share this record to Facebook



	Author	Lizheng Deng; Hongyong Yuan; Lida Huang
	Title	Optimal UAV 3D Path Planning in Mountainous Environments for Post-Earthquake Multi-region Search			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	1122-1122
	Keywords	Post-earthquake rescue, UAV search, 3D path simulation, real mountainous terrain, hybrid algorithm.
	Abstract	During the earthquake rescue, rapidly locating the trapped person is a critical issue to reduce casualties. Compared with the ground search after the earthquake, the unmanned aerial vehicle (UAV) life detection is not only more expeditious but also safer. For shortening the mission completion time of UAV, we propose the coupling method of Dijkstra's algorithm and simulated annealing (SA) algorithm to optimize the search path. Concisely, the mathematical model is further abstracted as the Traveling Salesman Problem (TSP) and the shortest loop can be obtained by SA algorithm. The real geo-environment of Jiuzhaigou and the actual large-scale rescue scenarios are taken into consideration. Setting six key search areas as our life detection objects, the UAV 3D path simulation is conducted with MATLAB, which achieves the obstacle avoidance. Our UAV path planning method can significantly speed up the search process and save more people in the post-disaster search.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Poster	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2185
Share this record to Facebook



	Author	Alessandro Farasin; Paolo Garza
	Title	PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	1081-1088
	Keywords	Spatio-temporal sequence mining, Data characterization
	Abstract	Nowadays large amounts of climatology data, including daily precipitation data, are collected by means of sensors located in different locations of the world. The data driven analysis of these large data sets by means of scalable machine learning and data mining techniques allows extracting interesting knowledge from data, inferring interesting patterns and correlations among sets of spatio-temporal events and characterizing them. In this paper, we describe the PERCEIVE framework. PERCEIVE is a data-driven framework based on frequent spatio-temporal sequences and aims at extracting frequent correlations among spatio-temporal precipitation events. It is implemented by using R and Apache Spark, for scalability reasons, and provides also a visualization module that can be used to intuitively show the extracted patterns. A preliminary set of experiments show the efficiency and the effectiveness of PERCEIVE.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT)	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2180
Share this record to Facebook



	Author	Takuya Oki
	Title	Possibility of Using Tweets to Detect Crowd Congestion: A Case Study Using Tweets just before/after the Great East Japan Earthquake			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	584-596
	Keywords	Twitter, crowd congestion, time-series analysis, linguistic expression, disaster mitigation.
	Abstract	During large earthquakes, it is critical to safely guide evacuation efforts and to prevent accidents caused by congestion. In this paper, we focus on detecting the degree of crowd congestion following an earthquake based on information posted to Social Networking Services (SNSs). This research uses text data posted to Twitter just before/after the occurrence of the Great East Japan Earthquake (11 March 2011 at 02:46 PM JST). First, we extract co-occurring place names, proper nouns, and time-series information from tweets about congestion in the Tokyo metropolitan area (TMA). Next, using these extracted data, we analyze the frequency and spatiotemporal characteristics of these tweets. Finally, we identify expressions that describe the degree of crowd congestion and discuss methods to quantify these expressions based on a questionnaire survey and tweets that contain a photograph.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Social Media Studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2133
Share this record to Facebook



	Author	Sultan A. Alharthi; Nick LaLone; Ahmed S. Khalaf; Ruth Torres; Lennart Nacke; Igor Dolgov; Zachary O. Toups
	Title	Practical Insights into the Design of Future Disaster Response Training Simulations			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	818-830
	Keywords	Training, Simulation, Disaster Response, Coordination, Mixed Reality
	Abstract	A primary component of disaster response is training. These educational exercises provide responders with the knowledge and skills needed to be prepared when disasters happen. However, traditional training methods, such as high-fidelity simulations (e.g., real-life drills) and classroom courses, may fall short of providing effective and cost-efficient training that is needed for today's challenges. Advances in technology open a wide range of opportunities for training using computer-mediated simulations and exercises. These exercises include the use of mixed reality games and wearable computers. Existing studies report on the usefulness of these technologies for training purposes. This review paper synthesizes prior research and development of disaster response simulations and identifies challenges, opportunities, and lessons learned. Through this review, we provide researchers and designers with an overview of current practices in designing training simulations and contribute practical insights into the design of future disaster response training.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Case studies and reflections from practice	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2154
Share this record to Facebook



	Author	Robert Power; Bella Robinson; David Alexander; Mahesh Prakash
	Title	Predicting Demand for Government Services during Disaster Events			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	89-96
	Keywords	Situation Awareness, Data Integration, Disaster Management, Crisis Coordination
	Abstract	Smart Service Queensland (SSQ) is the 'front door' to the Queensland State Government in Australia, providing services and information for citizens and businesses. Services are delivered through online channels, call centres and face-to-face service centres. Rostering to adequately staff the call centres during business as usual demand is well supported using existing workforce planning tools and content management systems alongside real-time telephonic monitoring. However, during times of large scale emergency events, such as floods and tropical cyclones, effective workforce planning heavily relies upon experienced SSQ personnel constantly monitoring and updating call centre staffing levels leading up to and during the disaster event to ensure customer demands are met. Achieving the right balance of call centre servicing without over provisioning is a challenging task. We present a prototype analytics tool that supports the SSQ Forecast Analyst responsible for workforce planning during disaster events and provides initial results of modelling caller behavior during two recent tropical cyclones. The tool provides a single point of reference to a wide collection of relevant datasets, including population demographics and details of the natural and built environment, data feeds describing the emergency event under investigation, relevant social media posts and call centre operations metrics. The tool is an early proof of concept demonstrator highlighting the utility of data integration, web mapping, real-time event monitoring, and predictive modelling.
	Address	Csiro; Csiro; Csiro; Csiro
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Monitoring and Alerting Systems supporting Business as Usual and Emergency Warnings	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1668
Share this record to Facebook



	Author	Ryo Otaka; Osamu Uchida; Keisuke Utsu
	Title	Prototype of Notification and Status Monitoring System Using LINE Smartphone Application to Support Local Communities			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	450-458
	Keywords	Care, Application, Social media
	Abstract	Japanese society is aging rapidly, so an increasing number of households currently consists of only elderly single people or couples. We propose a system that uses LINE (a mobile communication application) for sending notices containing information from local governments to elderly or physically disabled people, as well as for efficient monitoring by local governments and social workers of the health conditions and statuses of such people. Our system can be used by anyone who has a smartphone with LINE installed. We have also conducted an operational test of a prototype of our system.
	Address	Tokai University; Tokai University; Tokai University
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Social Media and Community Engagement Supporting Resilience Building	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1659
Share this record to Facebook



	Author	Linda Plotnick; Starr Roxanne Hiltz; Sukeshini Grandhi; Julie Dugdale
	Title	Real or Fake? User Behavior and Attitudes Related to Determining the Veracity of Social Media Posts			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	439-449
	Keywords	Social media, trustworthiness, fake news
	Abstract	Citizens and Emergency Managers need to be able to distinguish “fake” (untrue) news posts from real news posts on social media during disasters. This paper is based on an online survey conducted in 2018 that produced 341 responses from invitations distributed via email and through Facebook. It explores to what extent and how citizens generally assess whether postings are “true” or “fake,” and describes indicators of the trustworthiness of content that users would like. The mean response on a semantic differential scale measuring how frequently users attempt to verify the news trustworthiness (a scale from 1-never to 5-always) was 3.37. The most frequent message characteristics citizens' use are grammar and the trustworthiness of the sender. Most respondents would find an indicator of trustworthiness helpful, with the most popular choice being a colored graphic. Limitations and implications for assessments of trustworthiness during disasters are discussed.
	Address	New Jersey Institute of Technology; Eastern Connecticut State University; New Jersey Institute of Technology; University of Grenoble
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Social Media and Community Engagement Supporting Resilience Building	Expedition		Conference
	Notes				Approved	no
	Call Number	ISCRAM @ idladmin @			Serial	1665
Share this record to Facebook



	Author	Peter Berggren; Mateo Herrera Velasquez; Jenny Pettersson; Oscar Henning; Henrik Lidberg; Björn J E Johansson
	Title	Reflection in Teams for Training of Prehospital Command and Control Teams			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	203-211
	Keywords	Emergo Train System, training, pre-hospital, medical command and control, emergency response
	Abstract	Prehospital command and control (PS) is a structure for handling medical accidents in Sweden. It includes terminology, command structure, roles, and performance indicators. The concept is taught and trained at the Centre for Teaching and Research in Disaster Medicine and Traumatology (KMC). The concept is trained using a mixture of lectures, simulation based exercises, and scenario designed by the participants. The scenarios are ran in Emergo Train System (ETS), a versatile and flexible table-top simulation platform, where medical command and control can be trained and evaluated. The purpose of this study was to develop structure for feedback and reflection by using a measure of shared understanding. The empirical study presents how the Shared Priorities instrument can be used to provide structured feedback for training. The paper is concluded with a discussion on how the empirical findings can be integrated in training prehospital medical command and control.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Command and control studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2100
Share this record to Facebook



	Author	Emma Hudson-Doyle; Douglas Paton; David Johnston
	Title	Reflections on the communication of uncertainty: developing decision-relevant information			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	166-189
	Keywords	Uncertainty, Communication, Decision-making, Participatory, Advice
	Abstract	Successful emergency management decision-making during natural hazard events is fundamentally dependent upon individual and team situation awareness (i.e., how selection, interpretation, and understanding of available information defines the problem and identifies solutions) while operating under high time and risk pressures. The development and evolution of SA, and response effectiveness during a crisis, depends upon information and advice from external experts. This advice is characterised by stochastic (system variability) and epistemic (lack of knowledge) uncertainty, constraining decision-making and blocking or delaying action. How this uncertainty is communicated, and managed, varies throughout the phases of emergency management. Through this 'Insight' paper, we review how people cope with uncertainty, individual and team factors that affect uncertainty communication, and inter-agency methods to enhance communication. We propose communicators move from a one-way dissemination of advice, towards two-way and participatory approaches that identify decision-relevant uncertainty information needs pre-event, for communication efforts to focus on in-event.
	Address	Joint Centre for Disaster Research / Massey University; Joint Centre for Disaster Research / Massey University; College of Health and Human Sciences, Charles Darwin University; GNS Science
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Data Issues for Situation/Disaster Awareness	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1650
Share this record to Facebook



	Author	Sonia Gul; Nurul Sarkar; Jairo Gutierrez; Edmund Lai
	Title	RESILICOMM: A Framework for Resilient Communication System			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	83-88
	Keywords
	Abstract	Disasters, when they strike hard, may cause the disruption of many vital services. 'Telecommunications' is being considered one of the vital lifeline services as many disaster relief operations rely on it. Effective communication is dependent on a telecommunication network infrastructure that is working properly. Unfortunately, the infrastructure may be damaged during a disaster causing no-coverage and/or congested network traffic in the disaster-affected areas. In this paper we propose a conceptual framework for building a resilient communication system that not only considers the communications infrastructure but also other driving factors which are necessary for its success. The proposed framework is based on five key pillars, namely: robustness, redundancy, adaptability, agility, and readiness to build capability for developing a resilient communication system. The findings reported in this paper provide some insights into resilient communications that may help network researchers/engineers to contribute further towards developing a robust and resilient communication system capable of coping with disasters.
	Address	Auckland University of Technology; Auckland University of Technology; Auckland University of Technology; Auckland University of Technology
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Resilience to cope with the unexpected	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1673
Share this record to Facebook



	Author	Lev Zhuravsky
	Title	Responding to Disaster: Resilience Engineering and Shared Leadership in Coping with Unexpected			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	69-74
	Keywords	Resilience Engineering, Shared leadership, Christchurch earthquake, Acute medicine
	Abstract	The magnitude 6.3 Christchurch earthquake struck the city at 12:51pm on Tuesday, 22 February 2011. Christchurch Hospital sustained damage following the earthquake which severely strained the hospital's ability to function at regular capacity. Three acute medical wards had to be evacuated immediately after the earthquake and relocated to an older person's health hospital. This insight paper makes a unique contribution to the field of resilience by demonstrating the practical application and positive impact of the Resilience Engineering and shared leadership to team performance in one of the relocated acute medical wards during the initial two years following the earthquake. This paper which is still work in progress was developed from the experiences and reflections of the author, who was a charge nurse manager of one of the relocated wards and led a nursing team during the earthquake, evacuation, and relocation. Taking RE model as a framework for creating resilience in complex and unexpected environment proved to be a very positive experience which created multiple learnings and prompted the team to develop sustained resilience at personal, interpersonal and professional levels. Working on this insight paper prompted the author to explore possible application of Resilient Engineering in health care environment, taking it as foundation principle of developing resilient health care in the context of complex adaptive systems. This transformed onto Ph.D. research which will be submitted to the conference colloquium.
	Address	Waitemata District Health Board
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Resilience to cope with the unexpected	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1644
Share this record to Facebook



	Author	Sardar Sulaman; Martin Höst
	Title	Risk Analysis and Management of IT Systems: Practice and Challenges			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	831-840
	Keywords	risk analysis, current practice, challenges
	Abstract	Risk analysis is important for safety-critical IT systems and services, both in public and private organizations. However, the actual practices and the challenges of risk analysis in these contexts have not been fully explored. This paper investigates the current practices of risk analysis by an interview-based investigation. This study investigates several factors of the risk analysis process, e.g., its importance, identification of critical resources, definitions of roles, involvement of different stakeholders, used methods, and follow-up analysis. Furthermore, this study also investigates existing challenges in the current practices of risk analysis. A number of challenges are identified, e.g., that risk analysis requires competence both about the risk analysis procedures and the analyzed system, which is challenging to identify, and that it is challenging to follow-up and repeat a risk-analysis that is conducted. The identified challenges can be useful when new risk analysis methods are defined.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Case studies and reflections from practice	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2155
Share this record to Facebook



	Author	Iftikhar Ali; Vahid Freeman; Senmao Cao; Wolfgang Wagner
	Title	Sentinel-1 Based Near-Real Time Flood Mapping Service			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	1074-1080
	Keywords	Sentinel-1, EODC, Flood mapping service, SAR, Azure Service Bus.
	Abstract	Globally floods are categorized as one of most devastating natural disasters and annually causing a major loss to human lives and economy. For rapid damage assessment and planning relief activities a large scale spatio-temporal overview is required to assist local authorities. This paper aims to provide an overview of a Sentinel-1 based near-real time flood mapping/monitoring service; which is implemented as an operational service under the framework of I-REACT (Improving Resilience to Emergencies through Advanced Cyber Technologies) project.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	1st International Workshop on Intelligent Crisis Management Technologies for Climate Events (ICMT)	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2179
Share this record to Facebook



	Author	Sebastian Lindner; Stephan Kühnel; Hans Betke; Stefan Sackmann
	Title	Simulating Spontaneous Volunteers – A Conceptual Model			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	159-169
	Keywords	spontaneous volunteers, disaster management, agent-based simulation, conceptual model, SUV behavior
	Abstract	Recent disasters have revealed growing numbers of citizens who participate in responses to disasters. These so-called spontaneous unaffiliated on-site volunteers (SUVs) have become valuable resources for mitigating disaster scales. However, their self-coordination has also led to harm or putting themselves in danger. The necessity to coordinate SUVs has encouraged researchers to develop coordination approaches, yet testing, evaluating, and validating these approaches has been challenging, as doing so requires either real disasters or field tests. In practice, this is usually expensive, elaborate, and/or impossible, in part, to conduct. Simulating SUVs' behaviors using agent-based simulations seems promising to address this challenge. Therefore, this contribution presents a conceptual model that provides the basis for implementing SUV agents in simulation software to perform suitable simulations and to forecast citizens' behaviors under a given set of circumstances. To achieve adequate simulations, the conceptual model is based on the identification of 25 behavior-affecting attributes.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Command and control studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2097
Share this record to Facebook



	Author	Xiaoyong Ni; Hong Huang; Shiwei Zhou; Boni Su; Jianchun Zheng; Wei Zhu; Huali Liu
	Title	Simulation of The Urban Waterlogging and Emergency Response Strategy at Subway Station's Entry-exit Platform in Heavy Rainstorm			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	99-120
	Keywords	Simulation, urban waterlogging, subway stations, emergency response strategy
	Abstract	Underground space like subway stations is prone to be flooded which can lead to severe and unpredictable damage and even threaten human lives. In this paper, four groups of contrastive simulation of urban waterlogging at two subway stations' entry-exit platforms in heavy rainstorm are conducted, and emergency response strategies are suggested. A waterlogging simulation method named UPFLOOD based on shallow water equations is proposed considering complex topography. It has been found that the waterlogging at subway station's entry-exit platforms is easily influenced by several factors and the site selection of the subway stations is very important. A disaster process construction method based on PN model is proposed and it has been found that the response strategies including plugging, drainage and evacuation are important for disaster mitigation. This study helps decision makers to response quickly to meet the emergency of the waterlogging disaster at subway stations caused by heavy rainstorm.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Analytical Modeling and Simulation	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2093
Share this record to Facebook



	Author	Patrick Lieser; Alaa Alhamoud; Hosam Nima; Björn Richerzhagen; Sanja Huhle; Doreen Böhnstedt; Ralf Steinmetz
	Title	Situation Detection based on Activity Recognition in Disaster Scenarios			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	737-753
	Keywords	Disaster Relief, Activity Recognition, Machine Learning, Wearables
	Abstract	In disaster situations like earthquakes and hurricanes, people have difficulties accessing shelter and requesting help. Many smartphone applications provide behavioral advice or means to communicate during such situations. However, to what extent a person is affected by a disaster is often unclear, as these applications rely on the user's subjective assessment. Therefore, detecting a user's situation is key to provide more meaningful information in such applications and to allows first responders to better assess incoming messages. We propose a predictive model that recognizes four normal and ten disaster-related activities achieving an average f1-score of up to 90.1\%, solely based on sensor readings of the subject's mobile device. We conduct an extensive measurement-based evaluation to assess the impact of individual model parameters on the prediction accuracy. Our model is orientation-independent, position-independent, and subject-independent, making it an ideal foundation for future context-aware emergency applications.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Universal Design of ICT in Emergency Management	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2147
Share this record to Facebook



	Author	Samaneh Madanian; David Airehrour; Marianne Cherrington; NikhilKumar Patil
	Title	Smart Cap for Visually Impaired in Disaster Situations			Type	Conference Article
	Year	2018	Publication	Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific.	Abbreviated Journal	Iscram Ap 2018
	Volume		Issue		Pages	317-325
	Keywords	Visually Impaired, Resilience, Disaster, Smart Cap, Internet of Things.
	Abstract	Natural and manmade disasters pose a myriad of challenges, which are more severe for individuals with disabilities. Ordinarily to perform daily activities, the disabled get support from assistive technological devices and services; these are commonly disrupted during and after disasters. A proposed solution to support those with visual impairment is a cost-effective wearable 'Smart Cap'. The Smart Cap provides narratives about the surrounding environment while establishing communication between the user (the visually impaired) and a rich online reservoir of knowledge base system capable of vocalising narratives. As a proof-of-concept, this study is implemented using Raspberry Pi, the Amazon Web Services and a P-Cap fitted with a camera. The aim of this research work is to provide an assistive technology to help the visually impaired navigate their way out of any potentially disastrous situation like other citizens would. The proposed system and its usage in disaster situations is an innovative, cost-effective solution specifically addressing the needs of visually impaired persons.
	Address	Nmit; Nmit; Aut; Nmit
	Corporate Author				Thesis
	Publisher	Massey Univeristy	Place of Publication	Albany, Auckland, New Zealand	Editor	Kristin Stock; Deborah Bunker
	Language	English	Summary Language		Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN		ISBN		Medium
	Track	Human centred design for collaborative systems supporting 4Rs (Reduction, Readiness, Response and Recovery)	Expedition		Conference
	Notes				Approved	no
	Call Number				Serial	1661
Share this record to Facebook



	Author	William R. Smith; Keri K. Stephens; Brett Robertson; Jing Li; Dhiraj Murthy
	Title	Social Media in Citizen-Led Disaster Response: Rescuer Roles, Coordination Challenges, and Untapped Potential			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	639-648
	Keywords	Crisis communication, social media, emergent groups, mobile technology, emergency management
	Abstract	Widespread disasters can overload official agencies' capacity to provide assistance, and often citizen-led groups emerge to assist with disaster response. As social media platforms have expanded, emergent rescue groups have many ways to harness network and mobile tools to coordinate actions and help fellow citizens. This study used semi-structured interviews and photo elicitation techniques to better understand how wide-scale rescues occurred during the 2017 Hurricane Harvey flooding in the Greater Houston, Texas USA area. We found that citizens used diverse apps and social media-related platforms during these rescues and that they played one of three roles: rescuer, dispatcher, or information compiler. The key social media coordination challenges these rescuers faced were incomplete feedback loops, unclear prioritization, and communication overload. This work-in-progress paper contributes to the field of crisis and disaster response research by sharing the nuances in how citizens use social media to respond to calls for help from flooding victims.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Social Media Studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2138
Share this record to Facebook



	Author	Apoorva Chauhan; Amanda Lee Hughes
	Title	Social Media Resources Named after a Crisis Event			Type	Conference Article
	Year	2018	Publication	ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management	Abbreviated Journal	Iscram 2018
	Volume		Issue		Pages	573-583
	Keywords	Crisis Informatics, Crisis Named Resources, Social Media
	Abstract	Crisis Named Resources (CNRs) are the social media accounts and pages named after a crisis event. CNRs typically appear spontaneously after an event as places for information exchange. They are easy to find when searching for information about the event. Yet in most cases, it is unclear who manages these resources. Thus, it is important to understand what kinds of information they provide and what role they play in a response. This paper describes a study of Facebook and Twitter CNRs around the 2016 Fort McMurray wildfire. We report on CNR lifecycles, and their relevance to the event. Based on the information provided by these resources, we categorize them into 8 categories: donations, fundraisers, prayers, reactions, reports, needs and offers, stories, and unrelated. We also report on the most popular CNR on both Facebook and Twitter. We conclude by discussing the role of CNRs and the need for future investigation.
	Address
	Corporate Author				Thesis
	Publisher	Rochester Institute of Technology	Place of Publication	Rochester, NY (USA)	Editor	Kees Boersma; Brian Tomaszeski
	Language	English	Summary Language	English	Original Title
	Series Editor		Series Title		Abbreviated Series Title
	Series Volume		Series Issue		Edition
	ISSN	2411-3387	ISBN	978-0-692-12760-5	Medium
	Track	Social Media Studies	Expedition		Conference	ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
	Notes				Approved	no
	Call Number				Serial	2132
Share this record to Facebook