Abstract: In the new millennium new technologies (should) play an ever more prominent role in the management of mass casualty incidents (MCI). Drawing on empirical data from a four-year research project (SOGRO), the article reflects on the impact of information technologies (IT) on the organisation of emergency response and on rescue services against the backdrop of broader organisational shifts and contemporary demands. Because IT strengthens a particular way of MCI management, it is firstly described as expressing and reifying specific considerations of emergency response experts. Secondly, the benefits of an IT-based emergency response are critically reviewed. IT collects and makes available data about the rescue operation. Thus, it makes a formerly blurred rescue operation transparent. Although its operational benefit remains vague for on-scene executives, the visualisation reduces uncertainties among them. Thirdly, the article points out the inherent logics of IT. Its implementation not only satisfies newly evolved information needs, but also increases the control density.

Abstract: The purpose of this work is to enhance the understanding of command and control in collectives, paying particular attention to coalition situations when multiple, typically autonomous agencies are expected to work together harmoniously. There are two different approaches to dealing with commands, one approach focuses on individual command components and the other studies the interplay between different commands. This paper is a first attempt at bringing these two views together, with the aim of understanding what is needed for human autonomous systems to work as collectives through command and control systems that achieve their full capability through “command by intent”, while also encouraging and encompassing new agile behaviour both at the individual and organizational level. We have identified key aspects of commands in collectives (both from existing literature and from our own work) and demonstrate our findings in case studies taken from hurricane Katrina, 1995 Oklahoma city bombings, the 2001 attack on the Pentagon, as well as some incidents of lower complexity, such as an oil spillage on a motorway.

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.

Abstract: As a country which frequently suffers from natural disasters, especially earthquakes, China has implemented its own disaster management system to respond to them. The Chinese government gained practical experiences on how to respond to severe earthquakes after the 2008 Wenchuan Earthquake and 2010 Yushu Earthquake. Although China has done a lot to improve its response operations, challenges remain. This paper analyses what these challenges are by using the Sphere Standard as a benchmark to measure the Chinese response operations. The Sphere project was launched in 1997 by Non-Government Organizations (NGOs), the International Federation of Red Cross and Red Crescent Societies. It framed a Humanitarian Charter and established the Minimum Standards for response which emphasize meeting the urgent survival needs of people in the affected regions, while asserting their basic human right to a life with dignity. Based on this analysis, suggestions are provided to improve China's earthquake response operations.

Abstract: Detecting the occurrence of hydraulic accidents or contamination events in the shortest time has always been a significant but difficult task. The simple and efficient way is to identify the sudden changes or outliers hidden in the vast amounts of monitoring data produced minute by minute, which is unpractical for human. A new method, which employs a data self-recognition approach to achieve that automatically, has been proposed in this paper. The autoregressive moving average (ARMA) model was employed in this research to construct the self-recognition model. 56 months monitoring data from Changping water distribution network in Beijing, which was firstly cut into different time-slice series, was used to establish the ARMA model. This provided a prediction confidence interval in order to identify the outliers in the test data series. The results showed a good performance in outlier identification and the accuracy ranges from 90% to 95%.Thus, the ARMA model showed great potential in dealing with monitoring data and achieving the expected performance of data self-recognition technology.

Abstract: The growing use of a variety of information systems in crisis management both by non-governmental organizations (NGOs) and emergency management agencies makes the challenges of information sharing and interoperability increasingly important. The use of semantic web technologies is a growing area and is a technology stack specifically suited to these challenges. This paper presents a review of ontologies, vocabularies and taxonomies that are useful in crisis management systems. We identify the different subject areas relevant to crisis management based on a review of the literature. The different ontologies and vocabularies available are analysed in terms of their coverage, design and usability. We also consider the use cases for which they were designed and the degree to which they follow a variety of standards. While providing comprehensive ontologies for the crisis domain is not feasible or desirable there is considerable scope to develop ontologies for the subject areas not currently covered and for the purposes of interoperability.

Abstract: Natural disasters and emergencies create the need for communication between and among the affected populace and emergency responders as well as other parties such as governmental agencies and aid organizations. Such communications include the dissemination of key information such as evacuation orders and locations of emergency shelters. In particular, the coordination of efforts between responding organizations require additional communication solutions that typically rely heavily on wireless communications to complement fixed line infrastructure due to the ease of use and portability. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and network providers following previous disasters, there appears to be little optimization effort involved with respect to maximizing key performance measures of the deployment or minimizing overall cost to deploy. This work does not focus on the question of what entity will operate the portable base stations or wireless equipment utilized during a disaster, only the question of optimizing placement for planning and real time management purposes. This work examines current wireless network optimization models and points out that none of them include the necessary variables for a disaster planning or emergency deployment context. Due to the fact that the choice of wireless technology impacts the nature of an overall model, a brief discussion of exemplar wireless technologies is included. The work also proposes criteria that must be taken into account in order to have a useful model for deployment of mobile base stations and related wireless communications equipment.

Abstract: Crisis communication during power outages poses several challenges. Frist, the causes of power outages are often events such as severe weather, which also lead to complications. Second, power outages themselves lead to limitations in everyday life. Third, communication infrastructures, that are necessary for crisis communication, are often affected. This work focuses on the communication of the organizations responsible for recovery work (emergency services, public administration, energy network operators) to the public affected by the power outage. Therefore this paper investigates the perception and the information demands of citizens and communication infrastructures in different scenarios. Taking the users' needs into consideration, an Information and Communication Technology (ICT) based concept for crisis communication, which combines general information with location-specific and setting-specific information was implemented as a prototype smartphone application and evaluated with 12 potential end users. ICT-based concepts can gain acceptance, however they should be understood as supplemental for some target groups and in some scenarios.

Abstract: This paper explores issues of security, privacy and liberty arising in relation to ICT supported emergency management. The aim is to inform the design of emergency management information systems (EMIS) and architectures that support emergent interoperability and assembly of emergency management systems of systems. We show how transformations of social and material practices of privacy boundary management create challenges, opportunities and dangers in this context. While opportunities include development of more efficient and agile emergency management models, building on smart city concepts, dangers include surveillance, social sorting and an erosion of civil liberties. Against this backdrop, we briefly explore human practice focused 'privacy by design' as a candidate design avenue.

Abstract: In this article, work in progress on a system for rapid aerial mapping is presented. We believe that a tool able to quickly generate an up-to-date high resolution aerial view, e.g. shortly after a natural disaster or a big incident occurs, can be a highly valuable asset to help first responders in the decision making. The presented work focuses on the path planning capabilities of the system, together with the area partitioning and workload distribution among a team of multi-rotor unmanned aircraft. Sensor footprint and range of the involved aircraft may differ. The presented approach is based on an approximate cellular decomposition of the area of interest. The results of this work will be integrated into an existing system which already provides a mobile ground control station able to supervise and control multiple sensor carriers.

Abstract: The use, or barriers to use, of crowdsourced data by emergency managers has been a significant topic of scholarly discussion during the past several years. The single strongest barrier to use has been identified as one of data quality (Tapia, et. al, 2011). We argue that within this environment the Emergency Manager (EM) acts as a decision-maker and evaluator of crowdsourced data. The final judgement on whether to incorporate crowdsourced data into a Crisis response lies with the EM. In this paper we make a brief argument for the role of EM as trustworthy data analyst and then propose a model for capturing the trust-analytical behavior through game theory (Griffin, et. al, 2012). Lastly, we propose a simple computer game, which uses our model through which we will capture EM trust-analytical behavior though a future empirical data collection effort.

Abstract: In urban search and rescue (USAR) situations resources are limited and workload is high. Robots that act as team players instead of tools could help in these situations. A Virtual Reality (VR) experiment was set up to test if team performance of a human-robot team increases when the robot act as such a team player. Three robot settings were tested ranging from the robot as a tool to the robot as a team player. Unexpectedly, team performance seemed to be the best for the tool condition. Two side-effects of increasing robot's teammembership could explain this result: Mental workload increased for the humans who had to work with the team-playing robot, whereas the tendency to share information was reduced between these humans. Future research should, thus, focus on team-memberships that improve communication and reduce cognitive workload.