|
Maki Tagashira, & Toshihiro Osaragi. (2021). Accessibility Assessment of Vulnerable Roadside Areas after a Major Earthquake. 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. 553–566). Blacksburg, VA (USA): Virginia Tech.
Abstract: In order to reduce human casualty after a large earthquake, it is vital to secure the traffic function of main roads. Local governments promote the seismic reinforcement of roadside buildings, however, the project is not going well as planned. There is a high demand for appropriate information of its effect. In this paper, we proposed a method to identify the roadside areas with vulnerable accessibility to disaster bases after a large earthquake. First, we defined the accessibility indices; Link Isolation ratio (LI ratio) and Network Isolation ratio (NI ratio). Then, using the simulation model, we evaluated the accessibility to disaster base hospitals using emergency transportation roads in the Tokyo Metropolitan Area. LI ratio tended to be low in areas with a sparse road network. Furthermore, some hospitals indicated a severely high NI ratio. In secondary medical areas with these hospitals, it is necessary to consider the measures to improve accessibility.
|
|
|
Ke Wang, Yongsheng Yang, Genserik Reniers, Jian Li, & Quanyi Huang. (2021). An Attribute-based Model to Retrieve Storm Surge Disaster Cases. 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. 567–580). Blacksburg, VA (USA): Virginia Tech.
Abstract: In China, storm surge disasters cause severe damages in coastal regions. One of the most important tasks is to predict affected regions and their relative damage levels to support decision-making. This study develops a two-stage retrieval model to search the most similar past disaster case to complete prediction. Based on spatial attributes of cases, the top-ranking past cases with a similar location to the target case are selected. Among these past cases, the most similar past case is selected by disaster attribute similarities. Three typical storm surge case studies have been used and implemented into this proposed model and the results show that all the most affected regions can be predicted. The proposed model simplifies the prediction process and updates results quickly. This study provides useful information for the government to make real-time response plans.
|
|
|
Jose J. Gonzalez, Colin Eden, Eirik Abildsnes, Martin Hauge, Monica Trentin, Luca Ragazzoni, et al. (2021). Elicitation, analysis and mitigation of systemic pandemic risks. 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. 581–596). Blacksburg, VA (USA): Virginia Tech.
Abstract: The Covid-19 pandemic has disrupted the health care system and affected all sectors of society, including critical infrastructures. In turn, the impact on society's infrastructures has impacted back on the health care sector. These interactions have created a system of associated risks and outcomes, where the outcomes of risks are risks themselves and where the resulting consequences are complex vicious cycles. Traditional risks assessment methods cannot cope with interdependent risks. This paper describes a novel risk systemicity approach to elicit and mitigate the systemic risks of a major pandemic. The approach employed the internet-based software strategyfinder[TM] in workshops to elicit relevant risk information from sixteen appropriately selected experts from the health care sector and major sectors impacted by and impacting back on the health care sector. The risk information was processed with powerful analytical tools of strategyfinder to allow the experts to prioritise portfolios of strategies attacking the vicious cycles.
|
|
|
Yangyang Meng, Xiangliang Tian, Chang Liu, Zhongwen Li, Zhijie Zhou, & Maohua Zhong. (2020). Research on Emergency Capability Evaluation of Network Operation-Based Urban Rail Transit. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 530–544). Blacksburg, VA (USA): Virginia Tech.
Abstract: In the process of network operation, it is of great significance to evaluate the emergency capability for the safety and resilience of urban rail transit. In this work, we proposed an emergency capability evaluation model of network operation-based urban rail transit by building a four-level index system. AHP (Analytic Hierarchy Process) method demonstrated the effectiveness of the evaluation index system. The ranking of index importance Wi characterizes the emergency capability of network operation-based urban rail transit. Taking Shenzhen Metro as an example, this study analyzed the risk in the actual network operation, evaluated the emergency capability of network operation and calculated the comprehensive score of emergency capability. Furthermore, based on the correlation analysis results from the emergency capability indexes, we put forward some measures to improve the weaker indexes in the evaluation. The results indicate that the emergency capability evaluation method of network operation-based urban rail transit proposed in this study can better guide the emergency management of network operation-based urban rail transit.
|
|
|
Pengfei Zhou, Tao Chen, Guofeng Su, Bingxu Hou, & Lida Huang. (2020). Research on the Forecasting and Risk Analysis Method of Snowmelt Flood. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 545–557). Blacksburg, VA (USA): Virginia Tech.
Abstract: Risk analysis of snowmelt flood is an urgent demand in cold highland areas. This paper focuses on the method for the rapid and reliable forecast of daily snowmelt, snow water runoff, and snowmelt flood risk. A neural network algorithm is used to calculate snow density distribution, snow depth and snow-water equivalent with the brightness temperature data. Then, daily snowmelt is predicted using the degree-day factor method with the temperature distribution. On this basis, we use the steepest descent method and Manning formula with hydrographic information to simulate snow water runoff. We also propose a method to predict the snowmelt flood risk with the geographic feature and historical flood data. The evaluated risk is compared with monitored data in the Xinjiang Autonomous Region of China, which shows good consistency. At last, we develop a risk analysis system to generate the snowmelt flood risk map and provide risk analysis service.
|
|
|
Patricia Quiroz-Palma, Ma Carmen Penadés, & Ana-Gabriela Núñez. (2020). Resilience Learning for Emergency Plan Management in Organizations. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 558–567). Blacksburg, VA (USA): Virginia Tech.
Abstract: Many governments, organizations, practitioners and researchers involved in collaboration on resilience in emergency management are agreed that this is a key aspect. The QuEP+R framework aims to improve resilience in an organization's emergency plan management, in which the stakeholders must be adequately prepared and trained for their responsibilities in the emergency plan, providing techniques that propose the improvement of the emergency plan besides resilience. However, for these techniques to be effective, organizations need the theoretical resilience proposed in QuE+R to be implemented. The CiET framework was designed for this purpose and has learning objectives and training contents related to QuEP+R techniques to train stakeholders. The CiET capability plan contents have been classified by resilience dimensions towards the optimization of resilience in emergency plan management. The integration is supported by I+R-Tool, which generates the capability plans automatically from the results of the QuEP+R assessment, which outcomes in a stakeholder's effective training, contributing to the optimization and improvement of the resilience, therefore, in improving the quality of emergency plans. Hence, the aim remains to search for the continuous improvement of the emergency plan management within organizations.
|
|
|
Lars Gerhold, Roman Peperhove, & Edda Brandes. (2020). Using Scenarios in a Living Lab for improving Emergency Preparedness. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 568–579). Blacksburg, VA (USA): Virginia Tech.
Abstract: Emergency preparedness and management processes are highly influenced by the use of digital technologies. Unfortunately, due to their rapid development, stakeholders from civil protection as well as policy makers often are not aware of new technological possibilities, their potentials and risks. This paper offers a methodological approach to experience evolving technologies by using scenarios in a living lab, equipped with demonstrators from recent research projects. The scenarios are presented to stakeholders from civil protection and policy making by telling a future story about the potential usage of emerging technologies. The Future Security Lab allows addressees to see, understand and use technologies that may become relevant within the next five to ten years and so a profound basis for knowledge transfer is offered. The case study “Digitalization of Emergency Preparedness 2025” demonstrates how scenarios can be used to integrate demonstrators in stories about the future of civil protection. First results of an evaluation provide positive feedback from attendees.
|
|
|
Alexander Gabriel, Florian Klein, & Frank Fiedrich. (2020). Modelling of Passenger Handling Processes in Railway Stations – A Mixed-Methods Approach. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 580–592). Blacksburg, VA (USA): Virginia Tech.
Abstract: The constantly increasing number of passengers using public transportation leads to an expansion of the ser-vices offered by public transportation companies. The existing transportation infrastructures, especially rail-way stations, can only partly cope with this rapid growth. There is already overcrowding on platforms and access routes, especially during disruptions caused by natural disasters or major public events. This crowding may result in personal injury or shutdown of operations for safety reasons. The research project CroMa aims at improving robustness, safety, security and performance of railway stations at peak loads. The paper contributes thereto by developing an approach to assess railway infrastructure in terms of the risk of overcrowding. The core of this research is to combine qualitative workshop results with quantitative database analysis. Furthermore, the paper gives an outlook on the ongoing process model development as a basis for a semi-quantitative evaluation tool for railway stations applicable by end users.
|
|
|
Ana-Gabriela Núñez, Sebastián Cedillo, Andrés Alvarado Martínez, & Ma Carmen Penadés. (2020). Towards the Building of a Resilient City able to Face Flood Risk Scenarios. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 593–601). Blacksburg, VA (USA): Virginia Tech.
Abstract: Despite the efforts that have been made to inform the community about the possible environmental risks, there is still a general lack of information. Currently, we are working on a flood risk scenario focused on a proposal towards a resilient culture together with the support of Information Technologies (IT) as a way to manage information. The goal is twofold: (i) on the one hand, to manage data in a small scenario to analyze and process the data collected from sensors in different sites in a micro-basin. Data get from data processing such as flow and velocity will then be the input data for hydraulic models to predict floods downstream; (ii) on the other hand, to publicize the predictions and the data already processed means people can benefit from information on flood risks, and the different participants may change their perception and consider cooperating in improving resilience.
|
|
|
Miguel Ramirez de la Huerga, Victor A. Bañuls, Pilar Ortiz Calderon, & Rocio Ortiz Calderon. (2020). A Delphi-Based Approach for Analysing the Resilience Level of Local Goverments in a Regional Context. In Amanda Hughes, Fiona McNeill, & Christopher W. Zobel (Eds.), ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management (pp. 602–611). Blacksburg, VA (USA): Virginia Tech.
Abstract: This article shows the research process carried out by Regional Government of southern Europe, with more than 8 million citizens, to create an Information System to serve as a diagnostic and certification model for the resilience level of the municipalities of that region. This Information System will allow the local authorities of the regional governments to know in what situation they are and what they should do to improve their resilience level. The research framework is based on the best practices in urban resilience. One of the relevant characteristics of the work is the integration of the knowledge of a very heterogeneous group of experts for the identification of the special needs of the target region that has been articulated through a Delphi process.
|
|
|
Hoang Nam Ho, Mourad Rabah, Ronan Champagnat, & Frédéric Bretrand. (2019). Towards an Automatic Assistance in Crisis Resolution with Process Mining. 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: To deal with a crisis situation, experts must undertake a chain of activities, called process, to minimize crisis
consequences. To assist the expert in making decision in crisis resolutions, authors propose a method aiming at
discovering crisis response processes. This method is based on a two-step strategy: the first step classifies the
system?s traces, representing stakeholders? past actions, into different sets, where each one represents a set of
response processes according to a specific context; the second step uses process mining algorithm to discover
the corresponding response plan process model based on the obtained chain of activities for each previously
classified context. These response plans will be a referenced aid for experts while making crisis resolution,
according to each context. The proposed approach is illustrated on the traces issued from the crisis caused by the
2010 Xynthia storm in France.
|
|
|
Marian Zulean, Gabriela Prelipcean, & Florin Druga. (2019). From Hindsight to Foresight: using collaborative methodologies to tackle the wicked problems and improve the the Emergency System. 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: The main goal of this WiPe is to analyze a wicked problem of disaster management, to offer an external
evaluation on how the emergency system worked and to plan a foresight exercise able to design a personalized
emergency response services to citizens. The first part of the paper is rather a hindsight analysis regarding
disaster management of ?Colectiv 2015?, one of the worst manmade disasters in the recent Romanian history.
After four years of investigations and reports and many recovery measures ?Colectiv 2015? is still a complex
problem that needs external evaluation. The second part of the paper is a two-tier research: an intermediary
analysis of the wicked problem, using Barry Turner?s framework and a design of a foresight exercise. In the
Conclusions of WiPe we propose a design of research meant to: 1) better understand the causes and
shortcomings of disaster management and failure of foresight and 2) help the Emergency System in Romania
build a disaster resilience mechanism.
|
|
|
Patricia Quiroz-Palma, Ma Carmen Penadés, & Ana-Gabriela Núñez. (2019). Towards a Capability Model for Emergency Training Improvement. 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: Giving adequate attention to training personnel within an organization to perform an activity of any kind
determines its success or failure. Training in emergency management is a key point and the participants must have
adequate preparation for each activity they carry out. The different activities in each emergency management
phase generate the appropriate training according to the role performed by stakeholders. The training is provided
through techniques and IT support tools that consolidate the knowledge imparted by the trainer. This paper
describes the initial steps in creating a capability model to support the training of stakeholders and ensure the
effectiveness of the response teams, as well as the appropriate actions of workers and citizens in an emergency.
Knowledge is consolidated through training, evaluation and feedback from practice. The proposed model is being
integrated in the QuEP framework to guide organizations in assessing and improving the management of their
emergency plans.
|
|
|
Victor A. Bañuls Silvera, Rafael Cantueso Burguillos, Fernando Tejedor Panchón, Miguel Ramírez de la Huerga, & Murray Turoff. (2019). A Delphi approach for the establishment of the fundamental principles of an Organizational Security System in Public Administration. 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: The aim of this work is defining fundamental principles of an Internal Security System in the presence of intentional risks in Public Administration. The relevance of this object of study has increased even more with the emergence of new terrorist groups and the proliferation of organized crime, which have been categorized as a maximum threat to Security by the government. This context has led to new regulations and legislation on Security matters at the national and international level to protect assets, people and the activity of the Administration itself. Despite the large number of regulations and relevance of this topic, there is not any study which defines in a comprehensive manner the requirements that a security system must have in the presence of intentional risks in Public Administration. The results of this work are intended to be a reference for the Public Administration, for the prevention and reaction to damage to people, property, and operation, intentionally caused by external agents, personnel themselves or users. These principles have been applied and validated through a Delphi process in the Administration of the Regional Government of Andalusia in which more than 40 security-related managers have participated.
|
|
|
Ana Gabriela Núñez Avila, & Mª Carmen Penadés Gramage. (2019). Towards an organization certified in emergency plans management. 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: QuEP is a framework that guides organizations in assessing and improving their emergency plan management by
following a set of principles, practices, and techniques at the different maturity levels established in the QuEP model.
Its main objective is to be applied to real cases to discover the state of an organization?s emergency plan management
and recommend techniques for improvement. In this paper, we describe the first application of QuEP as a prior step
to its implementation and possible use in official certifications for emergency plans with a guarantee of quality. So,
we have applied a real case in a UPV building towards the certification of the emergency plan management.
|
|
|
Abbas Ganji, Negin Alimohammadi, & Scott Miles. (2019). Challenges in Community Resilience Planning and Opportunities with Simulation Modeling. 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: The importance of community resilience has become increasingly recognized in emergency management and
post-disaster community well-being. To this end, three seismic resilience planning initiatives have been
conducted in the U.S. in the last decade to envision the current state of community resilience. Experts who
participated in these initiatives confronted challenges that must be addressed for future planning initiatives.
We interviewed eighteen participants to learn about the community resilience planning process, its
characteristics, and challenges. Conducting qualitative content analysis, we identify six main challenges to
community resilience planning: complex network systems; interdependencies among built environment systems;
inter-organizational collaboration; connections between the built environment and social systems;
communications between built environment and social institutions? experts; and communication among
decision-makers, social stakeholders, and community members. To overcome the identified challenges, we
discuss the capability of human-centered simulation modeling as a combination of simulation modeling and
human-centered design to facilitate community resilience planning.
|
|
|
Susanne Kubisch, Johanna Stötzer, Sina Keller, María Bull, & Andreas Braun. (2019). Combining a social science approach and GIS-based simulation to analyse evacuation in natural disasters: A case study in the Chilean community of Talcahuano. 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: In rapid-onset disasters the time needed for evacuation is crucial. Aside from the behaviour of the population, the
road network plays a fundamental role. It serves as a medium to reach a safe area. This study analyses the entire
evacuation process, from decision-making up to the arrival at an evacuation zone by combining standardised
questionnaires and GIS-based simulation. Based on a case study in the Chilean community of Talcahuano, an
event-based past scenario and a hypothetical future scenario is investigated, integrating the affected population in
the research process. The main problem identified in past evacuations has been time delay due to congestions,
which also is evident in the results of the hypothetical future scenario. A result which supports evacuation by foot.
This paper argues that a combination of scientific methods is essential for analysing evacuation and to reduce the
risk due to time delay, critical route and transport medium choice.
|
|
|
Sebastian Lindner, Stefan Sackmann, & Hans Betke. (2019). Simulating Spontaneous Volunteers: A System Entity Structure for Defining Disaster Scenarios. 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: Fast and easy communication, e.g. via Twitter or Facebook, encourages self-coordination between spontaneous
volunteers in disasters. Unfortunately, this is more and more challenging official disaster management. The need
for the directed coordination of spontaneous volunteers triggered researchers to develop effective coordination
approaches. However, evaluating and comparing such approaches as well as their exercising are lacking a
standardized way to describe repeatable disaster scenarios, e.g. for simulations. Therefore, we present a novel
System Entity Structure (SES) for describing disaster scenarios considering the disaster environment,
communication infrastructure, disaster management, and population of spontaneous volunteers. The SES is
discussed as a promising scheme for including spontaneous volunteers in disaster scenarios on a general level. Its
applicability is demonstrated by a Pruned Entity Structure derived from a real disaster scenario. Based on the
results, we give an outlook on our subsequent research, the XML-based Spontaneous Volunteer Coordination
Scenario Definition Language (SVCSDL).
|
|
|
Hans C.A. Wienen, Faiza A. Bukhsh, Eelco Vriezekolk, & Roel J. Wieringa. (2019). Applying Generic AcciMap to a DDOS Attack on a Western-European Telecom Operator. 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: After a large incident on a telecommunications network, the operator typically executes an incident analysis to
prevent future incidents. Research suggests that these analyses are done ad hoc, without a structured approach. In
this paper, we conduct an investigation of a large incident according to the AcciMap method. We find that this
method can be applied to telecommunications networks with a few small changes; we find that such a structured
approach yields many more actionable recommendations than a more focused approach and we find that both the
onset of an incident and the resolution phase merit their own analysis. We also find that such an analysis costs a
lot of effort and we propose a more efficient approach to using this method. An unexpected outcome was that
AcciMap may also be very useful for analyzing crisis organizations.
|
|
|
Min Zhu, Ruxue Chen, Tianye Lin, Quanyi Huang, & Guang Tian. (2019). Describing and Forecasting the Medical Resources assignments for International Disaster Medical relief Forces Using an Injury-Driven Ontology Model. 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: Available medical resources are the basis of efficient disaster medical relief. The medical resources assignment for disaster medical relief forces is usually fixed. However, the injury condition distribution changes in different disaster and so does the demand for the medical resources. So the assignment of medical relief forces should be more flexible and based on the injury. We analyzed the component parts and rules of disaster medical relief, defining the related concepts and rules. Then, we constructed the describing rules of injury-treatment-medical-technique-resource-assignment process. Based on these, we established the ontology of disaster medical relief system and the injury-driven medical resources assignment ontology model (MRAOM). We used the model to describe the medical relief situation after earthquake to demonstrate the model could describe complicated situations. We also used the model to describe and forecast the medical resource assignment of treating batch wounded to demonstrate the model's validity.
|
|
|
Christoph Amelunxen, & Janina Isabella Sander. (2019). Information collection using process visualisation in the risk management concept for emergency response. 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: Security-critical processes of emergency response are part of a complex system of people, organisation and
technology. They are often characterised by their own dynamics, interconnectedness and information deficits. In
addition, a wide variety of stakeholders, some from different organisations, work together, each specialising in a
specific area. In order to capture this (process-) knowledge in risk management, information from the experts is
necessary. However, experts are difficult to access, often separated locally, cost-intensive and usually have little
time (discussion-) capacity. A pictogram-based process visualisation was developed within the risk management
concept. The method could be validated within a European project in an expert workshop. This was done using
the example of a CBRN mass casualty incident. By using the methods presented, very good qualitative and
quantitative results can be achieved from the perspectives of various organisations and their experts. The limited
resource ?expert? is used optimally.
|
|
|
Quynh Nhu Nguyen, Antonella Frisiello, & Claudio Rossi. (2019). The Design of a Mobile Application for Crowdsourcing in Disaster Risk Reduction. 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: Disaster Risk Reduction is a complex field in which a huge amount of data is collected and processed every day
in order to plan and run preparedness and response actions, which are required to get ready and to effectively
respond to natural disasters when they strike. This paper, which targets a wide audience, focuses on the design of
a mobile application that aims to integrate the crowdsourcing paradigm in current Disaster Risk Reduction
processes. The design process is integrated in the User Centred Approach, which we apply through a co-design
methodology involving end-users, iterative prototyping and development phases, and five in-field evaluations of
the implemented solution. We describe both the design activities and the results obtained from end-users�
feedbacks focusing on the perspective of first responders.
|
|
|
Zewei Zhang, Hongyong Yuan, & Lida Huang. (2018). Study on the Utility of Emergency Map in Emergency Response. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 377–387). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: As modern cities expand rapidly, the loss of emergency has been more serious. To reduce or even avoid losses caused by disasters, using emergency maps to collect, aggregate, analyze, and communicate information is a prerequisite for efficient response. In this paper, we analyzed the impact factors of information transfer efficiency, and constructed the communication model provided by Emergency Map. By comparing the difference with case deduction between the traditional communication mode in emergency response and the new communication mode based on Emergency Map, which is called Group Communication Mode. We proved the Group Communication Mode had the advantages to improve information transfer efficiency in emergency response. Emergency Map can be an effective tool for the timely transfer of information among departments, which put forward a novel communication mode in emergency decision-making process.
|
|
|
Marcus Dombois, Timo Bittner, & Uwe Rüppel. (2018). Approaching the criticality of information for emergency response and control center operations. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 388–397). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: Successful emergency response and control center operations rely on a great number of information sources. The importance of said information becomes immediately obvious if it is not available when required during an emergency situation. This can be described as the criticality of information, signifying a potential need for action to prepare for functional failures. The concept described in this paper approaches the criticality via an analysis that examines various combinations of information sources and situations in order to identify weaknesses and improve existing procedures. The proposed semi-quantitative assessment was developed taking several attributes and characteristics of criticality into account and afterwards conducted in close cooperation with emergency response institutions.
|
|
|
Hans Christian Augustijn Wienen, Faiza Allah Bukhsh, Eelco Vriezekolk, & Roel J. Wieringa. (2018). Accident Analysis Methods and Models – a Systematic Review. In Kees Boersma, & Brian Tomaszeski (Eds.), ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management (pp. 398–408). Rochester, NY (USA): Rochester Institute of Technology.
Abstract: After a risk has manifested itself and has led to an accident, valuable lessons can be learned that can be taken into account to reduce the risk of a similar accident occurring again. This calls for accident analysis methods. In the past 20 years a large number of accident analysis methods have been proposed and it is difficult to find the right method to apply in a specific circumstance. We conducted a review of the state of the art of accident analysis methods and models across domains. We classify the models using the well-known categorization into sequential, epidemiological and systemic methods. We find that these classes have their own characteristics in terms of speed of application versus pay-off. For optimum risk reduction, methods that take organizational issues into account can add valuable information to the risk management process in an organization.
|
|