Douglas C. Pattie, & Stefanie Dannenmann. (2008). Evaluation and strengthening of early warning systems in countries affected by the 26 December 2004 Tsunami. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 415–423). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The objective of this international initiative was to provide an integrated framework for strengthening early warning systems in the Indian Ocean region by building on existing systems and facilitating coordination among specialized and technical institutions. The project supported the development of tsunami early warning systems in collaboration with numerous United Nations and other organizations devoted to disaster risk management and risk reduction. For the practitioner of early warning systems, the project has been divided into two areas-warning system development and preparedness. As a cross-cutting theme, the project promoted multi-hazard end-to-end systems in a regional context by emphasizing (i) risk knowledge, (ii) monitoring and warning service, (iii) communications and dissemination of understandable warnings and (iv) response capability and preparedness. The activities of the project were structured into five components-system implementation, integrated risk management, public awareness and education, community-level approaches and project coordination. Practitioners should note that the work represents a first step for establishing a complete tsunami early warning system within a multi-hazard framework.
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Louis-Francis Pau, & Peter Simonsen. (2008). Emergency messaging to general public via public wireless networks. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 3–11). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Warnings to the broad population in an emergency situation, irrespective of location and condition, is a public policy responsibility. Public wireless networks offer now the opportunity to deliver emergency warnings in this way with explanations, because in many countries the mobile penetration rates and coverage are higher than any other access form. The paper summarizes the analysis of the selection process between Short messaging services (SMS) and Cell Broadcast (CB) messaging in the context of Denmark based on end user requirements, stakeholder roles and case-based analysis. It demonstrates the many technical, cost-benefit and other trade-offs needed in supporting the population now with a dependable and wide-spread technology. This research is the basis for a national policy.
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Yrjo Raivio, & Ronja Addams-Moring. (2006). Mobile emergency announcements with really simple syndication (RSS 2.0). In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 164–171). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Broadcasting methods, such as the radio, the television and sirens, have been the main choices for delivering emergency announcements (EA)-Also called public warnings, emergency alerts or citizens warnings-during the last 60 odd years. Unfortunately, broadcast EAs do not reach all people, and the reason for the EA and the actions required can remain unclear. Today, the high penetration of personal mobile phones offers new options to authorities. As a result, a new research and implementation area, Mobile Emergency Announcement (MEA), has emerged. The GSM Short Message System (SMS) is already deployed for MEA delivery. Simultaneously, in the World Wide Web (WWW) a novel news delivery technology, called Really Simple Syndication 2.0 (RSS) is spreading. This paper describes a concept for how RSS can be harnessed for MEA use. First, MEA requirements are briefly reviewed. Second, the eXtended Markup Language (XML) based Common Alerting Protocol (CAP) and the syndication protocol RSS 2.0 are presented. Third, the central implementation issues are presented. Finally, the proposed solution is critically reviewed.
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S. M. Dassanayake, I. Mahakalanda, D. M. R. Sanjula, B. Dissanayake, R. M. Pasan, I. Gunathunga, et al. (2023). Geospatial Impact Analytics of Hydrometeorological Hazards: A Study on Urban and Suburban Floods in Sri Lanka using Online Textual Data. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 156–163). Palmerston North, New Zealand: Massey Unversity.
Abstract: Urban and suburban communities in tropical countries like Sri Lanka typically experience hydrometeorological hazards that substantially damage property and lives. Although accurate forecasts of weather events are available, the decision-makers often fail to mitigate the actual impact of these forecasts alone. The adverse impacts experienced by the community and reported by news and online media complement this fact. The forecast-impact disparity underpins the scope for holistically linking the forecast data with actual impact. This paper presents a work-in-progress study that develops a geospatial analytics framework using online textual data for assessing the spatiotemporal impact of the hydrometeorological hazards in disaster hot spots. The preliminary findings show prospects for extending the study to impact-focused visualization and forecasting that capture the community's and decision makers' attention for better interventions. For example, these include the degree of disaster response, planning and scheduling critical infrastructure and estimating damages, compensations and insurance claims.
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Hussain Aziz Saleh. (2005). Dynamic optimisation of the use of space technology for rapid disaster response and management. In B. C. B. Van de Walle (Ed.), Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management (pp. 139–141). Brussels: Royal Flemish Academy of Belgium.
Abstract: Modern space and information technologies provide valuable tools for the solution of many real-world problems in fields of managing effects of natural and man-made disasters, geomatic engineering, etc. Therefore, the need to develop and optimise the use of these technologies in an efficient manner is necessary for providing reliable solutions. This paper aims to develop powerful optimisation algorithms extending current highly successful ideas of artificial intelligence for developing of the disaster warning network which is a system of satellites and ground stations for providing real time early warning of the impact of the disaster and minimise its effects (e.g., earthquakes, landslides, floods, volcanoes, etc). Such intelligent algorithms can provide a degree of functionality and flexibility suitable both for constructing high-accuracy models and in monitoring their behaviour in real time.
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Samuel Auclair, Pierre Gehl, Mickael Delatre, Christophe Debray, & Philippe Méresse. (2022). In-depth Analysis of Practitioners' Perceptions about Seismic Early Warning Prior to Aftershocks: The Point of View of the USAR Community. In Rob Grace, & Hossein Baharmand (Eds.), ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management (pp. 740–754). Tarbes, France.
Abstract: Urban Search and Rescue (USAR) teams are particularly exposed to the risk of collapse of buildings due to aftershocks, making concept of earthquake early warning (EEW) particularly interesting. In addition to scientific advances in EEW, it is crucial to understand what are the real expectations and needs of USAR teams, and to what extent EEW solutions could meet them. In this study, we conduct a survey to collect insights from USAR rescuers: it highlights that aftershocks are a major concern for them. In this context, we find that the concept of EEW is very favorably received by the respondents, who consider different types of possible actions upon receipt of an early warning. This study provides a basis for the functional specifications of future solutions of EEW useful to all USAR teams, as well as for the definition of their modalities of engagement on the field.
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João A. Santos, Sara Rodrigues, Neves, Ana Vieira, Conceiçao J. Fortes, Maria Teresa Reis, et al. (2011). MOIA: An integrated decision support tool for port management. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper describes MOIA, a numerical tool that evaluates sea-wave effects on port operations and broadcasts warning messages whenever the safety of such operations are deemed to be at risk. The evaluation of the sea-wave transformation from offshore – where the results of numerical models for sea-wave forecast at a regional level are available – up to the port area is described. Also, the procedures used to evaluate the sea-wave effects on sailing ships, focusing on the amplitude of the vertical movements of a selected point in the ship, are explained. Such procedures are combined and applied to an example where the average downtime for the navigation at four points along the sailing lane is evaluated for the entrance voyages into the port of Praia da Vitória (Azores) of a given ship.
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Krispijn Scholte, & Leon J.M. Rothkrantz. (2014). Personal warning system for vessels under bad weather conditions. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 359–368). University Park, PA: The Pennsylvania State University.
Abstract: Many services provide weather forecasts, including severe weather alerts for the marine. It proves that many ships neglect the warnings because they expect to be able to handle the bad weather conditions. In order to identify possible unsafe situations the Coast Guard needs to observe marine vessel traffic 24 hours, 7 days a week. In this paper we propose a system that is able to support the Coast Guard. Ships can be localized and tracked individually using the Automatic Identification System (AIS). We present a system which is able to send a personal alert to ships expected to be in danger now or the near future. Ships will be monitored in the dangerous hours and routed to safe areas in the shortest time. The system is based on AIS data, probabilistic reasoning and expertise from the Coast Guard. A first prototype will be presented for open waters around the Netherlands.
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Nabil Seddigh, Biswajit Nandy, & John Lambadaris. (2006). An internet public alerting system: A canadian experience. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 141–146). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: Public officials have the responsibility of giving public directions and issuing warnings in the event of an emergency. Traditionally, siren systems, radio and television have been used as the primary means for issuing public alerts. Recently, there has been increased interest in evaluating the Internet's suitability for issuing public alerts during times of emergency. This paper presents a Canadian experience with the design and trials of an Internet-based emergency public alerting system (IPAS). We discuss a proposed set of requirements and system architecture. We also include a discussion of the challenges to be overcome in developing such systems and report on experiments and field trials using the IPAS system developed during this project. Our objective is to provide motivation for future research and industry work in this area.
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Simone Sillem, & Erik(J.W.F.) Wiersma. (2006). Comparing cell broadcast and text messaging for citizens warning. In M. T. B. Van de Walle (Ed.), Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management (pp. 147–153). Newark, NJ: Royal Flemish Academy of Belgium.
Abstract: In life-threatening emergencies, citizens need to be warned. The currently used method for citizens warning in The Netherlands is a siren. AT this moment, research is being carried out into using new technologies as an addition to this siren for citizens warning. Modern telecommunication technologies have great potential for informing the public. Especially the use of text-based features of mobile phones is considered for this function. Advantages of such a system are that these technologies overcome problems of hearing the siren and that text-based messages provide possibilities for giving more and more detailed information. In a number of pilot studies, Delft University of Technology has gained experience with the possibilities of these technologies for citizens warning services. This paper compares two text-based mobile phone technologies that can be used for citizens warning as an addition to the siren.
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Simone De Kleermaeker, & Loana Arentz. (2012). Serious gaming intraining for crisis response. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: In this practitioner report, we present the experiences with the use of the serious game Water Coach in a national training for crisis response professionals in the Netherlands. This paper describes the set-up of the training and its learning objectives. We explain the usability of the Water Coach in such a training and the extended functionalities that were required. Finally, the evaluation of the training, in which we focus on the added value of a serious game in the training for crisis response, is presented. © 2012 ISCRAM.
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Simone Wurster, Frank Fiedrich, Michael Klafft, & Andreas Bohn. (2016). Sudden Cardiac Arrest and the Role of Crowd Tasking Apps for Risk Mitigation. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
Abstract: Sudden cardiac arrest (SCA) is among the three most prominent causes of death in industrialized nations. Therefore, experts are calling for solutions, including smartphone-based systems to mobilize volunteers. German researchers are developing a crisis response system with a crowd tasking app. It aims to help reduce the effects of large-scale events, but also of ad-hoc incidents including SCA. This paper describes an approach to determine the potential of the system to increase the survival rate of SCA illustrated by an example. Its concept was analyzed by five experts from three countries and benefited from their feedback.
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Simone Wurster, Michael Klafft, & Marcel Kühn. (2015). Beyond Saving Lives: Assessing the Economic Benefits of Early Warning Apps for Companies in the Context of Hydrological Hazards. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Natural and man-made hazards are increasingly threatening modern societies. Therefore Turoff, Hiltz, Bañuls and Van Den Eede (2013) highlight the need for boosting efforts in planning for emergencies. Advanced early warning systems (EWS) provide opportunities to increase the resilience of societies. Warning via mobile phones is considered to be the best way of alerting but few public authorities already use this warning channel. EWS also help to protect property but their implementation requires significant investments. Cost-benefit estimations are needed for public authorities, insurance companies and the users, particularly private households and enterprises. This paper contributes a disaster-independent formula to disaster research with specific applications for hydrological hazards. Illustrated by a heavy rain scenario, it shows, in particular, the benefits of EWS for companies. A specific focus is put on lead time aspects.
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Stella van Esch, Marc van den Homberg, & Kees Boersma. (2021). Looking Beyond the Data: an Assessment of the Emerging Data Ecosystem of Nepal's Flood Early Warning Systems. In Anouck Adrot, Rob Grace, Kathleen Moore, & Christopher W. Zobel (Eds.), ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management (pp. 282–293). Blacksburg, VA (USA): Virginia Tech.
Abstract: Increasingly, data-driven instruments are used in disaster risk reduction to foster more efficient, effective, and evidence-based decision-making. This data revolution brings along opportunities and challenges, which are sometimes related to the data itself, but more often seem related to the environment in which the data is put to use. To provide insight into such an emerging data ecosystem, this paper uses a qualitative case study to assess the use of data in flood early warning systems (EWS) in Nepal. In response to the research question 'How does the data ecosystem impact the opportunities and challenges regarding data use in flood early warning systems in Nepal?', this paper discusses the importance of considering the broader context instead of regarding data as an entity unto itself. It shows how actors, policies and other contextual factors impact the effectiveness of data use by either presenting opportunities, like the establishment of a national disaster data repository, or challenges, like inadequate human resources for working with data.
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Sterl, S., Almalla, N., & Gerhold, L. (2023). Conceptualizing a Pandemic Early Warning System Using Various Data: An Integrative Approach. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 284–294). Omaha, USA: University of Nebraska at Omaha.
Abstract: Covid-19 demonstrated the vulnerability of various systems and showed, however, that digital tools and data can serve not only to stop infections but also to detect viruses before or immediately after a zoonosis has occurred, thus preventing a potential pandemic. Although several pandemic early warning systems (P-EWS) and German pandemic-related projects (G-PRP) exist, they often use a limited data range or rely on third-party data. Here, we present a concept of an integrative pandemic early warning system (IS-PAN) applied to Germany using various data such as health data (e.g., clinical/syndromic) or internet data (e.g., social media/apps). Based on a systematic literature research of P-EWS and G-PRP on scientific and public health platforms, we derived indicators that help to detect virus threats with a system consisting of modules monitored in parallel. By integrating various pre collected digital data, this approach can help to identify a potential health threat efficiently and effectively.
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Andrea H. Tapia, Nicolas LaLone, Elizabeth MacDonald, Reid Priedhorsky, & Hall Hall. (2014). Crowdsourcing rare events: Using curiosity to draw participants into science and early warning systems. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 135–144). University Park, PA: The Pennsylvania State University.
Abstract: This research presents a centralized boundary object website and mobile app focused on allowing participants to participate in developing an early warning system through space weather and the beauty of the aurora borealis. Because of the beauty and majesty of auroral activity, people will seek information about when and where these unpredictable events occur. This activity, commonly referred to as nowcasting, can be combined with scientific data collected from observatories and satellites and serve as an early warning system with potentially far greater accuracy and timeliness than the current state of the art. We believe that long-term engagement with a citizen science tool will help bridge the many social worlds surrounding the aurora borealis and lead to the development of an early warning system that may correlate the visibility of the northern lights to violent space weather. We hope this will lead to other real time crowdsourced early warning systems in the future.
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Teun Terpstra, & Hanneke Vreugdenhil. (2011). Filling in the blanks: Constructing effective flood warning messages using the Flood Warning Communicator (FWC). In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper reports the progress that is being made in developing a software tool (the Flood Warning Communicator, FWC) that helps communication professionals constructing effective flood-warning messages. The program provides authorities with a warning message that contains open spaces where event specific information can be inserted. The program uses a database containing (parts of) phrases. Based on the specific situation, a communication professional receives the most suitable standard phrase by clicking on information buttons in a user interface. Together, the phrases form the warning message that sometimes requires minor adjustments such that it suits the specific circumstances. FWC is a well working prototype that allows constructing messages for web sites and short text messages (sms). Research is needed to test and validate these warning messages. In addition, cooperation with public authorities is necessary to make the program suitable for local circumstances (e.g., safety regions and municipalities).
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Thomas Kox. (2015). Criteria affecting people?s decision to take protective measures during winter storm XAVER on 5 December 2013. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: This paper discusses the impact of different dimensions of risk perception on people?s decision to take protective measures against natural hazards. Initial basis of the analysis was the winter storm XAVER which affected huge parts of Northern Europe including Berlin, Germany on 5 December 2013. Preliminary results of a representative online survey within the Berlin population show that affective variables such as fear of severe weather and confidence in weather forecasts showed a significant effect on people?s decision to take protective action. Contrary, high experience of natural hazards did not necessarily lead to action.
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Tina Comes, Brice Mayag, & Elsa Negre. (2015). Beyond Early: Decision Support for Improved Typhoon Warning Systems. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Warnings can help prevent damage and harm if they are issued timely and provide information that help responders and population to adequately prepare for the disaster to come. Today, there are many indicator and sensor systems that are designed to reduce disaster risks, or issue early warnings. In this paper we analyze the different systems in the light of the initial decisions that need to be made in the response to sudden onset disasters. We outline challenges of current practices and methods, and provide an agenda for future research.
To illustrate our approach, we present a case study of Typhoon Haiyan. Although meteorological services had issued warnings; relief goods were prepositioned; and responders predeployed, the delivery of aid was delayed in some of the worst hit regions. We argue for an integrated consideration of preparedness and response to provide adequate thresholds for early warning systems that focus on decision-makers needs.
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Ana Rosa Trancoso, José Delgado Domingos, Maria João Telhado, & João Corte-Real. (2011). Early warning system for meteorological risk in Lisbon municipality: Description and quality evaluation. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The current work describes and evaluates an early warning system for meteorological risk in Lisbon that has been functioning in SMPC since February 2008. The system aims to integrate multiple sources of information and facilitate cross checking observations, forecasts and warnings, allowing for an efficient and timely evaluation of the alert level to issue. Currently, it comprises hourly weather and tide level forecasts and automated warnings for Lisbon city, given by MM5 and WRF models running at IST. Results show MM5 performing better than WRF except for warm weather. The overall skill of the warning system is 40% with some false alarm ratios, mainly for forecasts with more than 3 days in advance. This is a reasonable characteristic for early warning since a potentially problematic situation can be anticipated and checked avoiding unnecessary economic expenditures if the warnings do not persist.
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Daniel Twigt, João Lima Rego, Deborah Tyrrell, & Tineke Troost. (2011). Water quality forecasting systems: Advanced warning of harmful events and dissemination of public alerts. In E. Portela L. S. M.A. Santos (Ed.), 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011. Lisbon: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Operational systems developed to monitor and forecast water quality can play a key role to counter and reduce the impact of harmful water quality events. Through these systems, many of the steps required to provide relevant information to the water quality manager can be automated, reducing the lead time required for a warning to be issued, as well as the potential for human error. The systems can also facilitate the routine dissemination of water quality forecasts to relevant parties in order to trigger early warnings or crisis response. This paper outlines some general characteristics of such water quality forecasting systems, focusing on the various elements from which such systems are composed. In addition, examples of existing systems to forecast bathing water quality and harmful algae blooms are provided as illustration. Such systems are either in a development stage (bathing water quality) or already used in operations (harmful algae blooms).
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Tzu-Yin CHANG, Shang-Yu Wu, & Jyun-Yuan Chen. (2018). Mobile Communication Technology and Cell Broadcast Service for Emergency Alerts. In Kristin Stock, & Deborah Bunker (Eds.), Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. (pp. 97–102). Albany, Auckland, New Zealand: Massey Univeristy.
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.
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Karl Wolf. (2013). Location information interoperability of CAP and PIDF-LO for early warning systems. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 381–385). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The Common Alerting Protocol (CAP) is an open standard, which is universally used for early warning systems and other emergency information systems. Future early warning systems will also disseminate CAP warning messages to location aware Internet devices, such as notebooks, Internet phones or Internet-enabled television sets. These Internet devices have the option to acquire their current location as a Presence Information Data Format – Location Object (PIDF-LO) document by the protocols and means developed by the Internet Engineering Task Force (IETF). When an Internet device receives a CAP message, determination of whether this alert is relevant to the user at the current location is crucial. However, the civic address format of PIDF-LO is not interoperable with CAP. This paper describes these interoperability issues, which were collected during a prototype implementation and proposes a mapping of PIDF-LO location elements to CAP to achieve interoperability.
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Simone Wurster, & Ulrich Meissen. (2014). Towards an economic assessment approach for early warning systems: Improving cost-avoidance calculations with regard to private households. In and P.C. Shih. L. Plotnick M. S. P. S.R. Hiltz (Ed.), ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management (pp. 439–443). University Park, PA: The Pennsylvania State University.
Abstract: In recent years, Early Warning Systems (EWS) have proven their value by saving many lives. However, most in-vestments into EWS were motivated directly by experienced disaster events and rarely pro-actively by possible up-coming threats. In order to change that we think that besides ethical and humanitarian reasons also the positive economic effects should be analyzed. EWS also help to protect property, but their contribution is not as obvious in that field due to the lack of quantitative models. This paper presents a disaster-independent formula that shows the benefits of EWS. Additional value to existing approaches is based on its advanced focus on behavioral aspects and the benefits of EWS in comparison to warnings issued via social media. We consider this work as an important contribution for future investments into warning technologies. However, yet this model just provides a theoretical framework for necessary empirical studies that are subject of further research.
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Ying Zhao, Mengqi Yuan, Guofeng Su, & Tao Chen. (2015). Crowd Security Detection based on Entropy Model. In L. Palen, M. Buscher, T. Comes, & A. Hughes (Eds.), ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management. Kristiansand, Norway: University of Agder (UiA).
Abstract: Identifying the terror attack, illegal public gathering or other mass events risks by utilizing cameras is an important concern both in crowd security area and in pattern recognition research area. This paper provides a physical entropy model to measure the crowd security level.The entropy model was created by identifying individuals?moving velocity and the related probability. The individuals are represented by Harris Corners in videos, thus to avoid the time-consuming human recognition task. Simulation experiment and video detection experiments were conducted, verified that in the disordered state, the entropy is higher; while in ordered state, the entropy is much lower; when the crowd security has a sudden change, the entropy will change. It was verified that the entropy is the applicable indicator of crowd security. By recognizing the entropy mutation, it is possible to automatically detect the abnormal crowd behavior and to set the warning alarm.
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