Andrew Marinik, Ludwig Gantner, Scott Fritz, & Sean Smith. (2020). Developing Performance Metrics of an Emergency Notification System. 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. 663–668). Blacksburg, VA (USA): Virginia Tech.
Abstract: The use of emergency notification systems (ENS), or early warning systems, are not only common practice among Institutes of Higher Education (IHEs), but are required by law in the United States. The dramatic increase in use is matched by the increase in community expectation. This community expectation corresponding with societal shifts challenges Public Safety leaders to implement and maintain a broad and highly reliable ENS. Most Public Safety programs lack the internal resources to consistently assess system risk, reliability, and messaging validity of their ENS sufficient to match the required system performance. Virginia Tech Emergency Management is proposing an ENS evaluation system capable of supporting assessment of reliability and risk across the entire system through the lens of Socio-Technical Systems (STS) theory at a practitioner level. By organizing emergency notification/early warning systems through Human Subsystems, Technical Subsystems, and Task Design the practitioner can assess their system by performance and risk.
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Alessio Malizia, Pablo Acuña, Teresa Onorati, Paloma Díaz, & Ignacio Aedo. (2009). CAP-ONES: An emergency notification system for all. 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 an ontology-based system for managing emergency alert notifications. Our purpose is to generate emergency alerts that are accessible to different kinds of people, paying special attention to more vulnerable collectives like impaired people. By adapting alerts to different devices and users we can allow Emergency Management Systems (EMS) to communicate with collectives like blind or deaf people whom otherwise will be unreachable by usual channels. Moreover, if we consider the constrains imposed by the nature of the emergency situations we can also improve the information transmission to cope with situational disabilities (e.g. smoke during a fire can cause low vision problems). We centered our system architecture on two characteristics: The first one is an ontology that codifies knowledge about accessibility, devices, disabilities, emergencies and media so the alert notification can be tailored according to different parameters; the second one is the use of an open standard like the CAP (Common Alerting Protocol) that enables our system to interoperate with other existing systems.
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Jian Wang, Tim Yardley, Himanshu Khurana, & Liying Wang. (2010). LENS: Location-based emergency notification service. 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: University campuses and municipalities are currently spending large sums of money to acquire systems that allow dissemination of information in emergency situations. The majority of these are mass notification systems that first register multiple contacts for community residents (email, phone, pager, etc.) and then deliver information to those residents at the push of a button to leave a message. Motivated by the limitations of such approaches, in this work we explore the use of existing metropolitan network infrastructures to design a new Location-Based Emergency Notification Service (LENS). LENS selectively redirecting residents to safety information using existing communication channels (e.g., Web browsing over HTTP). LENS eliminates the need for registration, provides minimal interruption to users and involves a low-cost setup. We prototype LENS using off-the-shelf components and demonstrate efficiency and scalability for a 60,000 user campus environment.
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