Balogh, Z., Gatial, E., Dolatabadi, S. H., Dlugolinský, Štefan, Saltarella, M., Scipioni, M. P., et al. (2023). Communication Protocol for using Nontraditional Information Sources between First Responders and Citizens during Wildfires. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 152–165). Omaha, USA: University of Nebraska at Omaha.
Abstract: One of the biggest challenges faced during the wildfires is communication. A specific case represents the need to establish communication between first responders and the public. This paper presents a proposal for a generic protocol to ensure effective communication between fire fighters and many citizens at the incident site or in the surrounding area using nontraditional information sources such as a dedicated mobile app or social media. Specific challenges, concepts and technologies relevant to such communication are described specifically customized for forest fires and wildfires. The protocol itself is provided by proposing information flows between the involved actors. Moreover, several technologies including a Citizen Engagement Mobile App, an Edge Micro Data Center for forward command centers, a Mesh in the Sky communication infrastructure or a Dashboard integrating and displaying all the data in one place is shortly introduced. The presented paper is a work in progress.
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Carolyn Huston, Jennifer Davis, Petra Kuhnert, & Andrew Bolt. (2023). Creating Trusted Extensions to Existing Software Tools in Bushfire Consequence Estimation. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 25–34). Palmerston North, New Zealand: Massey Unversity.
Abstract: Bushfire modelling has advanced with wildfire simulators such as Spark and Phoenix Rapidfire that can generate plausible fire dynamics and simulations that decision-makers can easily explore. With extreme weather impacting the Australian landscapes through the onset of droughts and heatwaves, it is becoming more important to make decisions rapidly from fire simulations. An element of this decision-making process is trust, in which the decision-maker feels empowered to make decisions from models of complex systems like fire. We propose a framework for decision-making that makes use of a fire emulator, a surrogate version of Spark, to facilitate faster exploration of wildfire predictions and their uncertainties under a changing climate. We discuss the advantages and next steps of an emulator model using the mechanisms and conditions framework, a powerful vocabulary and design framework that builds in trust to allow users of a technology to understand and accept the features of a system.
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Elif Demir, Tahsin Yomraliolu, & Arif Ç. Aydinolu. (2011). Using Geo-Information Technologies to increase the effectiveness of fire brigade services in Turkey. 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 coordinated response of fire has become a priority need for effective participation of actors. Within this scope, Geo-Information Technologies (GIT) will help to reduce of catastrophic results of disaster and protect lives and resources, with dynamic use of geo-data in fire disaster management. Interoperable geo-data is urgent need for fire disaster management. With assigned tasks, fire brigade is the most effective actor for the fire disaster management at different phases. In this study, actors that could act in a GIT based fire disaster management are defined. Activities in management phases of the possible fire disaster and geo-data needs to manage these activities were determined. According to this background, case activities such as producing fire risk map, optimizing locations of response teams, and the like were developed by using GIT. This approach can be a preliminary work to trigger effective and collaborate use of geo-data in fire brigade services.
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Sebastian Denef, Tobias Dyrks, Leonardo Ramirez, Sebastian Denef, Berthold Penkert, & Daniel Meyer. (2009). Designing for firefighters-building empathy through live action role-playing. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we present a role-playing workshop in a firefighting scenario conducted within the frame of a multidisciplinary consortium. Our work focuses on developing a navigation ubicomp infrastructure leveraging the cognitive skills of firefighters. Technology for navigation must understand existing navigation practices in order to provide adequate support. To deal with the complexity of this process, we use a participatory design approach based on a strong synergy among partners. We argue that a key aspect for the creation of this synergy is the construction of a bond of empathy allowing technology experts to understand the needs of the users of technology and also allowing firefighters to understand the role and activities of technology developers in the process. We present an account of the workshop conducted and some insights of the role that this method can play for complex, multidisciplinary teams working on developing safety-critical technology.
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Dilini Rajapaksha, Kacper Sokol, Jeffrey Chan, Flora Salim, Mukesh Prasad, & Mahendra Samarawickrama. (2023). Analysing Donors’ Behaviour in Non-profit Organisations for Disaster Resilience. In V. L. Thomas J. Huggins (Ed.), Proceedings of the ISCRAM Asia Pacific Conference 2022 (pp. 258–267). Palmerston North, New Zealand: Massey Unversity.
Abstract: With the advancement and proliferation of technology, non-profit organisations have embraced social media platforms to improve their operational capabilities through brand advocacy, among many other strategies. The effect of such social media campaigns on these institutions, however, remains largely underexplored, especially during disaster periods. This work introduces and applies a quantitative investigative framework to understand how social media influence the behaviour of donors and their usage of these platforms throughout (natural) disasters. More specifically, we explore how on-line engagement – as captured by Facebook interactions and Google search trends – corresponds to the donors’ behaviour during the catastrophic 2019–2020 Australian bushfire season. To discover this relationship, we analyse the record of donations made to the Australian Red Cross throughout this period. Our exploratory study reveals that social media campaigns are effective in encouraging on-line donations made via a dedicated website. We also compare this mode of giving to more regular, direct deposit gifting.
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Lisa Fern, Stoney Trent, & Martin Voshell. (2008). A functional goal decomposition of urban firefighting. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 305–314). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: In this paper we describe a functional goal decomposition of urban firefighting as part of a larger cognitive task analysis. Previous research indicates that firefighter decision strategies employ a pattern-matching technique that allows them to choose the first workable option based on similar previous experiences. This study builds upon this research by employing multiple cognitive task analysis methods to further examine firefighter decisions through a functional goal decomposition. The functional goal decomposition outlines the functions, decisions and information requirements of firefighting in terms of two overarching goals-save lives and protect property. Information requirements provide useful insight into the difficulties of firefighter decision-making. Though still in the preliminary stages, this project has generated a number of design recommendations to support urban firefighting. Future analyses are also discussed.
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María Hernandez, Susana Montero, David Díez, Ignacio Aedo, & Paloma Díaz. (2009). Towards an interoperable data model for forest fire reports. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The creation of action statistics of fire extinction services is a common activity in the management of forest-fires emergencies. The compilation of action data and the elaboration of statistics based upon those data allow drawing relevant information about forest fires emergencies and fire extinction services. The creation of action statistics requires the exchange of heterogeneous data, with different granularity and detail, among scattered sources. This paper introduces a Forest Fire Report Data Model devoted to be a data reference model for sharing and exchanging forest fire reports in order to achieve syntactic interoperability among independent systems. The definition of the model has been based on the review of forest fire statistics made by different agencies as well as the experience gained in developing an information system, called SIU6, for the creation of action reports of.
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María Hernandez, Susana Montero, David Díez, Paloma Díaz, & Ignacio Aedo. (2010). A data transfer protocol for forest fire statistics: Achieving interoperability among independent agencies. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The elaboration of statistics after a catastrophic situation allows us not only to analyze the economic, ecological and social impact of the event but also to improve the emergency management process. One compelling example of data collection for statistics is forest fires. The agencies involved in providing data have its own systems to collect data and mechanisms to send them, as well as, its data format for storing. Since such mechanisms are usually proprietary, and in order to normalize the exchange of data with statistics generating systems, a data transfer protocol should be used. In this paper we present a data transfer protocol called Forest Fire Statistics Protocol (FFSP). This protocol aims at transmitting consolidated forest fire data between independent agencies. The data transferred are based on the Forest Fire Report Data Model. Both mechanisms are based on open standards providing both technical interoperability and a solution that might be developed once and fit the needs of all. FFSP has been implemented as a web service over SOAP, SSL/TLS and TCP protocols.
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Humaira Waqas, & Muhammad Imran. (2019). #CampFireMissing: An Analysis of Tweets About Missing and Found People From California Wildfires. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Several research studies have shown the importance of social media data for humanitarian aid. Among others,
the issue of missing and lost people during disasters and emergencies is crucial for disaster managers. This work
analyzes Twitter data from a recent wildfire event to determine its usefulness for the mitigation of the missing and
found people issue. Data analysis performed using various filtering techniques, and trend analysis revealed that
Twitter contains important information potentially useful for emergency managers and volunteers to tackle this
issue. Many tweets were found containing full names, partial names, location information, and other vital clues
which could be useful for finding missing people.
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Björn J.E. Johansson, Jiri Trnka, & Rego Granlund. (2007). The effect of geographical information systems on a collaborative command and control task. In K. Nieuwenhuis P. B. B. Van de Walle (Ed.), Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers (pp. 191–200). Delft: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper tests the claimed benefits of using geographical information systems (GIS) in emergency response operations. An experimental study comparing command teams using GIS and paper-based maps is presented. The study utilized a combined approach using microworld simulations together with physical artefacts. Participants in the experiment took the role of command teams, facing the task of extinguishing a simulated forest fire. A total of 132 persons, forming 22 teams, participated in the study. In eleven of the teams, the participants were given access to GIS with positioning of fire-brigades as well as sensor data about the fire outbreak. In the other eleven teams, the participants were using paper-based maps. The result shows that teams using GIS performed significantly better than teams with paper-based maps in terms of saved area. Communication volume was considerably reduced in the case of GIS teams. Implications of these results on GIS are discussed as well as methodological considerations for future research.
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Lyuba Mancheva, Adam Carole, & Dugdale Julie. (2019). Multi-agent geospatial simulation of human interactions and behaviour in bushfires. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Understanding human behaviour and interactions in risk situations may help to improve crisis management
strategies in order to avoid the worst scenarios. In this paper we present a geospatial agent-based model and
simulation of human behaviour in bushfires. We have modelled the social interactions between different actors
involved in bushfires such as firefighter, police, emergency centre managers and civilians. We use the Belief,
Desire and Intention (BDI) architecture to model realistic human behaviour, and the FIPA-ACL standard to
model the communications. We use geospatial data to represent the environment in a realistic way. We show
how the model has been implemented and how we have unified the communications model and the BDI
architecture. Finally, we compare the processing time of two implementations of our model representing a 2D
simple and a 3D GIS environment.
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Maël Arnaud, Carole Adam, & Julie Dugdale. (2017). The role of cognitive biases in reactions to bushfires. In eds Aurélie Montarnal Matthieu Lauras Chihab Hanachi F. B. Tina Comes (Ed.), Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management (pp. 85–96). Albi, France: Iscram.
Abstract: Human behaviour is influenced by many psychological factors such as emotions, whose role is already widely recognised. Another important factor, and all the more so during disasters where time pressure and stress constrain reasoning, are cognitive biases. In this paper, we present a short overview of the literature on cognitive biases and show how some of these biases are relevant in a particular disaster, the 2009 bushfires in the South-East of Australia. We provide a preliminary formalisation of these cognitive biases in BDI (beliefs, desires, intentions) agents, with the goal of integrating such agents into agent-based models to get more realistic behaviour. We argue that taking such “irrational” behaviours into account in simulation is crucial in order to produce valid results that can be used by emergency managers to better understand the behaviour of the population in future bushfires.
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Graeme McFerren, & Philip Frost. (2009). The Southern African advanced fire information system. In S. J. J. Landgren (Ed.), ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives. Gothenburg: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper concerns the development of the South African Advanced Fire Information System (AFIS). We describe a use case of wildfires causing electricity transmission lines to be adversely affected. This use case provided the rationale for investment into a system for detecting and monitoring wildfires. AFIS functionality is described and we quantify its user acceptance and benefits before discussing ongoing research and implementation efforts to allow AFIS to become a standards-compliant, service-oriented system serving the original use case but re-deployable or re-usable by other organisations for similar or alternative purposes. We end with a view of future work that will potentially allow AFIS to reach a wider audience.
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Mojir, K. Y., Maceviciute, E., Olson, N., Gatial, E., & Balogh, Z. (2023). Citizen Engagement in wildfire management: needs, challenges, methods and framework. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 761–772). Omaha, USA: University of Nebraska at Omaha.
Abstract: With climate change, the frequency and spread of wildfires have intensified globally, bearing disastrous impacts on wildlife, the economy, and human well-being. Efforts on broad fronts are required, including proactive public participation. However, studies related to citizen engagement in the context of wildfire management remain limited. Therefore, there is a need for further studies in this area. This paper reports on ongoing work conducted in the context of an H2020 project called SILVANUS. The study investigates the methods, practices, needs and challenges related to citizen engagement in wildfire management. The authors have developed a tentative citizen engagement framework, and preliminary results related to citizens' needs and challenges are presented. The study identifies relevant topics, training contents, and methods that can be used for public engagement in wildfire management. The paper contributes towards designing future engagement modalities, technologies and training materials related to wildfire management and potentially even other crises.
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Christine Owen, Jan Douglas, & Gregory Hickey. (2008). Information flow and teamwork in Incident Control Centers. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 742–751). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: This paper reports research in progress into a study of information flow and teamwork in Incident Management Teams (IMTs) in Australia. The research project, funded by the Bushfire Co-operative Research Centre. The overall research design includes interviews with experienced personnel, observations of real-time incidents and training simulations and a national questionnaire of incident management practices. Data reported in this conference session will focus on a sample of observation data conducted in two training simulations of a wildfire incident. Observations were video recorded and key IMT members wore lapel microphones. Video data has been coded for use of artifacts (e.g., maps, status boards) and room movement. Audio data has been coded for by the quantity and quality of interactions within and between IMT functions. The presentation aims to contribute to an understanding of what enables and constrains effective teamwork and information flow within Incident Control Centers (ICCs) in Australia.
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Kate Starbird, & Leysia Palen. (2010). Pass it on?: Retweeting in mass emergency. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: We examine microblogged information generated during two different co-occurring natural hazards events in Spring 2009. Due to its rapid and widespread adoption, microblogging in emergency response is a place for serious consideration and experimentation for future application. Because microblogging is comprised of a set of practices shaped by a number of forces, it is important to measure and describe the diffuse, multiparty information exchange behaviors to anticipate how emergency governance might best play a role. Here we direct consideration toward information propagation properties in the Twitterverse, describing features of information redistribution related to the retweet (RT ) convention. Our analysis shows that during an emergency, for tweets authored by local users and tweets that contain emergency-related search terms, retweets are more likely than non-retweets to be about the event. We note that users are more likely to retweet information originally distributed through Twitter accounts run by media, especially the local media, and traditional service organizations. Comparing local users to the broader audience, we also find that tweet-based information redistribution is different for those who are local to an emergency event.
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Stathis G. Arapostathis. (2019). Instagrammers report about the deadly wildfires of East Attica, 2018, Greece: An introductory analytic assessment for disaster management purposes. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: This article contributes to identifying the capabilities of Instagram when utilized as a source of Volunteered
Geographic Information (VGI) for disaster management (DM) purposes. The geographic focus of this research is
in the Mediterranean area. As case study, the fire event of East Attica 2018, Greece, was chosen. This major fire
occurred on the 23rd of July 2018 and caused the death of 100 people, the injury of additional 164 while the total
burnt area was about 1275,9ha. It is the deadliest in modern Greece?s history and the second deadliest at a global
level, within the 21st century. About 15000 related photos along with the corresponding captions and timestamps
were crawled from Instagram. An initial sample of about 1100, was analyzed, by using a certain methodology
divided in certain steps, the most important of which include the classification of the information to certain
categories, geo-referencing and the creation of graphs and maps that visualize the processed data.
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Jeannette N. Sutton, Leysia Palen, & Irina Shklovski. (2008). Backchannels on the front lines: Emergent uses of social media in the 2007 Southern California Wildfires. In B. V. de W. F. Fiedrich (Ed.), Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management (pp. 624–631). Washington, DC: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: Opportunities for participation by members of the public are expanding the information arena of disaster. Social media supports “backchannel” communications, allowing for wide-scale interaction that can be collectively resourceful, self-policing, and generative of information that is otherwise hard to obtain. Results from our study of information practices by members of the public during the October 2007 Southern California Wildfires suggest that community information resources and other backchannel communications activity enabled by social media are gaining prominence in the disaster arena, despite concern by officials about the legitimacy of information shared through such means. We argue that these emergent uses of social media are pre-cursors of broader future changes to the institutional and organizational arrangements of disaster response.
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Sébastien Tremblay, Peter Berggren, Martin Holmberg, Rego Granlund, Marie-Eve Jobidon, & Paddy Turner. (2012). A multiteam international simulation of joint operations in 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: Concepts such as trust, shared understanding, cultural differences, mental workload, and organizational structure all impact upon the effectiveness of an organization (e.g., Tindale & Kameda, 2000), and even more so in the context of large scale multinational operations (e.g, Smith, Granlund, & Lindgen, 2010). In order to study these concepts we plan a multinational, distributed experiment with participants from three nations collaborating in the same virtual environment: Canadian, British, and Swedish participants will work together as part of a multinational MTS to deal with a complex task and gain control of a crisis situation. Empirical research on MTS remains limited (see, e.g., DeChurch & Marks, 2006) particularly at the multinational level where the investigation of MTS has been so far focused on case studies and exercises (e.g., Goodwin, Essens, & Smith, 2012). Therefore, there is a need to empirically study multinational MTS in order to assess the specific issues that multinational operations face, notably cultural and languages differences. The simulation environment used as experimental platform for this project is C3Fire (www.c3fire.org, Granlund & Granlund, 2011). C3Fire creates an environment whereby teams must work together to resolve a crisis in the firefighting domain, with the goal of evacuating people in critical areas, putting out the forest fire, and protecting buildings and other areas of value from the burning forest fire. This platform makes it possible to study participants' collaborative processes when dealing with a set of crisis scenarios in the context of a simulated emergency response situation. To deal efficiently with the crisis management operation, participants need to prioritize between different objectives, identify and protect critical areas, and plan and implement activities based on given resources. All these tasks are distributed between team members, compelling participants to exchange information and coordinate within and between teams to execute the task. The task is divided into three areas of responsibility as follows: 1) Information and Planning, responsible for situation assessment and providing the operating picture; 2) Operation and Logistic, responsible for intervention and resource management; and 3) Search and Rescue, responsible for research and management of civilians. C3Fire is designed to: 1) achieve an optimal compromise between internal and external validity; 2) show flexibility in scenario configuration (spectrum of units and roles – including search and rescue functions; Tremblay et al., 2010), allowing researchers to capture emergency response and crisis management and rapid response planning; 3) be highly configurable for testing many different types of teams (e.g., hierarchical vs. horizontal organizations); and 4) readily provide objective, non-intrusive metrics for assessing teamwork effectiveness (including macrocognitive functions and team processes) as well as quantitative measures of task performance (that take into account conflicting mission goals). © 2012 ISCRAM.
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Selim Serhan Yildiz, & Himmet Karaman. (2012). Developing a physics-based model for post-earthquake ignitions. 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: Earthquakes not only cause damages by shaking, but secondary disasters like fire following earthquake (FFE), tsunami, liquefaction, land slide etc. also cause large-scale losses. In some cases, FFEs result in losses more than shaking do as seen in the 1906 San Francisco earthquake and the 1923 Kanto earthquake. FFEs are generally caused by strong ground shakings. Strong shakings damage the structures and infrastructures. As a consequence of earthquake, many ignitions can occur due to damaged gas systems and electrical systems, overturning of electrical appliances and heating equipments and falling of flammable materials from shelves in structures. In addition to interior structure ignitions, damaged infrastructure elements such as gas pipelines and electric transmission lines can also cause ignitions. Some of these ignitions spread due to amount of fuel load (combustible materials), construction material, direction and speed of wind etc. in the environment and they can turn into large urban conflagrations. This paper proposes a physics-based post-earthquake fire ignition model in order to estimate number and location of ignitions in urban areas. © 2012 ISCRAM.
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Zhenyu Yu, Chuanfeng Han, & Ma Ma. (2014). Emergency decision making: A dynamic approach. 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. 240–244). University Park, PA: The Pennsylvania State University.
Abstract: The dynamic nature of emergency decision making exerts difficulty to decision makers for achieving effective management. In this regard, we suggest a dynamic decision making model based on Markov decision process. Our model copes with the dynamic decision problems quantitatively and computationally, and has powerful expression ability to model the emergency decision problems. We use a wildfire scenario to demonstrate the implementation of the model, as well as the solution to the firefighting problem. The advantages of our model in emergency management domain are discussed and concluded in the last.
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Zelenka, J., Kasanický, T. š, Gatial, E., Balogh, Z., Majlingová, A., Brodrechtova, Y., et al. (2023). Coordination of Drones Swarm for Wildfires Monitoring. In Jaziar Radianti, Ioannis Dokas, Nicolas Lalone, & Deepak Khazanchi (Eds.), Proceedings of the 20th International ISCRAM Conference (pp. 144–151). Omaha, USA: University of Nebraska at Omaha.
Abstract: As a result of climate change and global weather patterns, large forest fires are becoming more frequent in different parts of the world. The focus of the presented work is on creation of a complex coordination and communication framework for a swarm of drones specially tailored for use in preventing and monitoring of forest fires. The presented algorithm has been testing and evaluating using a computer simulation. The testing and validation in relevant environment is scheduled during a pilot demonstration exercise with real personnel and equipment, which will take place in Slovakia on April 2023. The presented work is a part of the SILVANUS EU H2020 project, whose objective is the creation of a climate resilient forest management platform for forest fire prevention and suppression. SILVANUS draws on environmental, technical, and social science experts to support regional and national authorities responsible for forest fire management in their respective countries.
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