| Records |
| Author |
Cornelia Caragea; Nathan McNeese; Anuj Jaiswal; Greg Traylor; Hyun-Woo Kim; Prasenjit Mitra; Dinghao Wu; Andrea H. Tapia; Lee Giles; Bernard J. Jansen; John Yen |
| Title |
Classifying text messages for the haiti earthquake |
Type |
Conference Article |
| Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
| Volume |
|
Issue |
|
Pages |
|
Keywords  |
Abstracting; Artificial intelligence; Disaster prevention; Information systems; Learning systems; Text processing; Disaster relief; Emergency response; Emergency situation; Haiti earthquakes; Information technology infrastructure; Nongovernmental organizations; Relief workers; Self-organizing behavior; Earthquakes |
| Abstract |
In case of emergencies (e.g., earthquakes, flooding), rapid responses are needed in order to address victims' requests for help. Social media used around crises involves self-organizing behavior that can produce accurate results, often in advance of official communications. This allows affected population to send tweets or text messages, and hence, make them heard. The ability to classify tweets and text messages automatically, together with the ability to deliver the relevant information to the appropriate personnel are essential for enabling the personnel to timely and efficiently work to address the most urgent needs, and to understand the emergency situation better. In this study, we developed a reusable information technology infrastructure, called Enhanced Messaging for the Emergency Response Sector (EMERSE), which classifies and aggregates tweets and text messages about the Haiti disaster relief so that non-governmental organizations, relief workers, people in Haiti, and their friends and families can easily access them. |
| Address |
College of Information Sciences and Technology, Pennsylvania State University, University Park, PA-16801, United States |
| Corporate Author |
|
Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
| Track |
Analytical Information Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
371 |
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| Author |
Remko Van Der Togt; Euro Beinat; Henk J. Scholten |
| Title |
Location-based emergency medicine: Medical Location Services for emergency management: Information and coordination of rescue resources |
Type |
Conference Article |
| Year |
2004 |
Publication |
Proceedings of ISCRAM 2004 – 1st International Workshop on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2004 |
| Volume |
|
Issue |
|
Pages |
45-50 |
| Keywords |
Accidents; Disaster prevention; Disasters; Geographic information systems; Global positioning system; Health care; Information services; Information systems; Law enforcement; Location; Location based services; Radio; Risk management; Risks; Data quality; Emergency medicine; Handhelds; Mobile; Resource planning; Spatial informations; Triage; Information management |
| Abstract |
Crisis and disaster management in the Netherlands has made huge leaps forward in recent years with regard to different organisations trying to manage one or more aspects of the safety chain. This research focuses on the information structure of health care during disasters with an aim to improve disaster management and tries to answer the following question: How can location based services improve information services within health care during disasters? Through the use of literature and interviews this thesis describes how disaster management can be improved through the use of Location Based Services (LBS). The scope of this research is aimed at better understanding the organisational processes during somatic health care. By defining a case and on the basis of literature and interviews in the Province of Utrecht, it was possible to develop a three layer graph model (3LGM). This model shows an overview of information processes performed by the health care organisation during the first hour after an accident. In this context, the 3LGM model is used to obtain an overview of the quality of information processing in such a problem area. The organisational structure, which deals with disaster management, consists of a strong co-operation between the police, fire departments, the local government and the 'Medical Aid during Accidents and Disasters' (GHOR). The size of the organisation depends largely upon the scale of the disaster, however the current information structure is not suitable for storing and processing the information in an efficient and effective manner. The same applies when displaying information related to casualties and safety within an area. With the help of location based services consisting of, geographical information systems (GIS), global positioning systems (GPS) and second or third generation telecommunication technologies, the existing information structure can be optimised. Expected advantages are higher accessibility to health care, a safer environment for rescuers, more time for managing the healthcare processes and an improved interdisciplinary co-operation between the police, fire departments, the local government and the GHOR. © Proceedings ISCRAM 2004. |
| Address |
Spatial Information Laboratory, Institute for Environmental Studies, Free University, De Boelelaan 1087, Amsterdam, Netherlands |
| Corporate Author |
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Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971080 |
Medium |
|
| Track |
POSTER SESSION |
Expedition |
|
Conference |
1st International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
230 |
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| Author |
Abdullah Konak |
| Title |
Improving network connectivity in emergency ad hoc wireless networks |
Type |
Conference Article |
| Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
| Volume |
|
Issue |
|
Pages |
36-44 |
| Keywords |
Ad hoc networks; Artificial intelligence; Disaster prevention; Disasters; Information systems; Intelligent agents; Social networking (online); Ad hoc wireless networks; Communication infrastructure; Computational results; Decentralized approach; Flocking; Network connectivity; Reliable communication; Swarm Intelligence; Mobile ad hoc networks |
| Abstract |
Wireless Ad Hoc Networks (MANETs) can to provide first responders and disaster management agencies with a reliable communication network in the event of a large-scale natural disaster that devastates majority of the existing communication infrastructure. Without requiring a fixed infrastructure, MANETs can be quickly deployed after a large-scale natural disaster or a terrorist attack. On the other hand, MANETs have dynamic topologies which could be disconnected because of the mobility of nodes. This paper presents a decentralized approach to maintain the connectivity of a MANET using autonomous, intelligent agents. Concepts from the social network analysis along with flocking algorithms are utilized to guide the deployment decision of agents. Unlike a basic flocking algorithm where all nodes have the same importance, network metrics are used to quantify the relative importance of nodes. Computational results are presented to demonstrate the effect of various local agent behaviors on the global network connectivity. |
| Address |
Penn State Berks, United States |
| Corporate Author |
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Thesis |
|
| Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
| Track |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
659 |
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| Author |
Bogdan Tatomir; Leon J.M. Rothkrantz |
| Title |
Crisis management using mobile ad-hoc wireless networks |
Type |
Conference Article |
| Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
| Volume |
|
Issue |
|
Pages |
147-149 |
| Keywords |
Ad hoc networks; Disaster prevention; Information systems; Personal digital assistants; Traffic congestion; Wireless telecommunication systems; Crisis management; Current situation; Disaster management; Distributed blackboard; Icons; Mobile ad hoc wireless networks; Pda; Wireless communications; Management information systems |
| Abstract |
In this paper we describe a disaster management system. It is assumed that each individual in the field is equipped with a PDA (Personal Digital Assistant) and that can communicate with other PDAs in the vicinity. Together the PDAs form an ad-hoc network. Users can enter their own observations to the PDA, like the position of victims, or a description of the current situation at particular location (e.g. smoke, emergency exits, traffic congestion). This information is entered in a special iconic language. Reversibly, the PDAs inform the users on the overall current situation of the crisis. In order to come to a shared view of the world, the knowledge that is present in the network has to be shared and fused. The proposed way to communicate is via a shared blackboard. This approach facilitates communication in a time and place independent way. |
| Address |
Delft University of Technology, Netherlands |
| Corporate Author |
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Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
| Track |
POSTER SESSION |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
996 |
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| Author |
Nancy Shank; Brian Sokol; Michelle Hayes; Cristina Vetrano |
| Title |
Human services data standards: Current progress and future vision in crisis response |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
| Volume |
|
Issue |
|
Pages |
352-361 |
| Keywords |
Air; Digital storage; Disaster prevention; Disasters; Information management; Information systems; Standards; Xml; Can; Data standards; Hmis; Homeless; Human services; Information and referral; Interoperability |
| Abstract |
Interorganizational coordination is crucial among human services providers responsible for responding to both personal and widespread crises. Too often, however, agencies providing disaster relief, shelter, and connection to other social service systems operate in information silos. Moreover, organizations that assist the same people may be duplicating services or ineffectively providing services to those in need. In the past, there has been no easy way for human service organizations to share information about clients, resources, and services. Over the last decade, distinct initiatives have begun to standardize data collection, storage, and transmission standards within human service domains. This paper describes several human services standards currently in use or under development in the United States and discusses how each support distinct, yet related, human service information management during disasters. The paper concludes with a call for the development of an overarching human services data interoperability standard. |
| Address |
University of Nebraska Public Policy Center, United States; Abt Assoc., Inc., United States; Cloudburst Group, United States; American Red Cross, United States |
| Corporate Author |
|
Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
| Track |
Information Systems for Humanitarian Operations |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
943 |
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| Author |
Marline Claessens; Nicolas Lewyckyj; Jane Biesemans; Jurgen Everaerts |
| Title |
Pegasus, a UAV project for disaster management |
Type |
Conference Article |
| Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
| Volume |
|
Issue |
|
Pages |
233-236 |
| Keywords |
Aircraft accidents; Disaster prevention; Disasters; Information systems; Remote sensing; Solar energy; Disaster management; Emergency situation; European governments; Geographical information; High resolution data; Local authorities; Technological researches; UAV (unmanned aerial vehicle); Unmanned aerial vehicles (UAV) |
| Abstract |
The Flemish Institute for Technological Research (Vito) in Belgium has initiated in 2000 the PEGASUS (Policy support for European Governments by Acquisition of information from Satellite and UAV-borne Sensors) project which envisages the development of a solar powered UAV (Unmanned Aerial Vehicle) containing several types of instruments for remote sensing and flying at an altitude of about 20 km. The aircraft can be deployed rapidly in crisis situations and provide disaster managers with ~1 m resolution images (or better if required) of the affected area. High quality data shall be received in less than half an hour from a mobile ground station that is in direct contact with the UAV, which can operate as long as requested by the user. The PEGASUS HALE-UAV is a flexible and cost-effective tool that will allow officials and local authorities to dispose quickly over relevant geographical information in an emergency situation. The first demonstration flight of the PEGASUS HALE-UAV shall take place in the summer of 2005 over Flanders. |
| Address |
Flemish Institute for Technological Research (Vito), Centre for Remote Sensing and Earth Observation (TAP), Boeretang 200, 2400 Mol, Belgium |
| Corporate Author |
|
Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
| Track |
GEOGRAPHIC INFORMATION SYSTEMS |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
400 |
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| Author |
Matthias Lendholt; Martin Hammitzsch |
| Title |
Generic information logistics for early warning systems |
Type |
Conference Article |
| Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
Alarm systems; Disaster prevention; Disasters; Hazards; Information systems; Terminology; Tsunamis; Cap; Disaster management; Early warning; Edxl; Information logistics; Interoperability |
| Abstract |
The delivery of user-tailored warning messages for heterogeneous user groups is a challenge rarely covered by hazard monitoring and early warning systems. While attention is mostly focused on sensor measurements and disaster prediction, warning message dissemination is often based on technical terminology and is not appropriate for the majority of interested user groups. This article describes the concepts of generic information logistics developed for the distant early warning system (DEWS). It is designed to not be limited to specific hazard types, languages or other deployment specifics. Instead, it enables the generation of user-tailored warning messages that account for specific needs and it provides several filter mechanisms to avoid unintended message flooding in emergency situations. Moreover, the importance of spatial references in messages is highlighted and accounted for in both automatic message processing and message reception by humans. Warning messages are based on the common alerting protocol (CAP) to allow interoperability with other early warning systems. |
| Address |
German Research Centre for Geosciences, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
| Track |
Early Warning and Alert Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
686 |
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| Author |
Hussain Aziz Saleh |
| Title |
Dynamic optimisation of the use of space technology for rapid disaster response and management |
Type |
Conference Article |
| Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
| Volume |
|
Issue |
|
Pages |
139-141 |
| Keywords |
Algorithms; Artificial intelligence; Disaster prevention; Information systems; Optimization; Satellite ground stations; Disaster management; Disaster warnings; Dynamic optimisation; Intelligent Algorithms; Meta heuristics; Natural and man-made disasters; Real-world problem; Space technologies; Disasters |
| 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. |
| Address |
Department of Civil Engineering, Faculty of Engineering, Ghent University, Krijgslaan 281 IDM, S8, B-9000 Gent, Belgium |
| Corporate Author |
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Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
| Track |
POSTER SESSION |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
905 |
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| Author |
Kostas Kolomvatsos; Kakia Panagidi; Stathes Hadjiefthymiades |
| Title |
Optimal spatial partitioning for resource allocation |
Type |
Conference Article |
| Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
| Volume |
|
Issue |
|
Pages |
747-757 |
| Keywords |
Algorithms; Disaster prevention; Disasters; Image segmentation; Information systems; Particle swarm optimization (PSO); Risk management; Disaster management; Emergency management; Emergency response; Intelligent techniques; Numerical results; Particle swarm optimization algorithm; Pso; Spatial partitioning; Resource allocation |
| Abstract |
Spatial partitioning consists of the problem of finding the best segmentation of an area under specific conditions. The final goal is to identify parts of the area where a number of resources could be allocated. Such cases are common in disaster management scenarios. In this paper, we consider such a scenario and propose a methodology for the resource allocation for emergency response. We utilize an intelligent technique that is based on the Particle Swarm Optimization algorithm. We define the problem by giving specific formulations and describe the proposed algorithm. Moreover, we provide a method for separating the area into cells and describe a technique for calculating cell weights based on the underlying spatial data. Finally, we present a case study for allocating a number of ambulances and give numerical results concerning the run time and the total coverage of the examined area. |
| Address |
Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece |
| Corporate Author |
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Thesis |
|
| Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Planning and Foresight |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
658 |
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| Author |
Timothy Clark; Rich Curran |
| Title |
Geospatial site suitability modeling for US department of defense humanitarian assistance projects |
Type |
Conference Article |
| Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
| Volume |
|
Issue |
|
Pages |
463-467 |
| Keywords |
Analytic hierarchy process; Decision support systems; Disaster prevention; Disaster mitigation; Disaster preparedness; Geo-spatial analysis; Multicriteria decision; Suitability analysis; Information systems |
| Abstract |
The purpose of this paper is to outline the requirement for data-driven methods for determining optimal geographic locations of United States Department of Defense (DOD) Humanitarian Assistance (HA) resources, including disaster mitigation and preparedness projects. HA project managers and tactical implementers charged with cost-efficient deployment of HA resources are challenged to produce measurable effects, in addition to contributing to broader Joint and Interagency-informed security assistance strategies. To address these issues, our ongoing research advocates geospatial multi-criteria site suitability decision support capabilities that leverage 1) existing geospatial resource location-allocation methodology as applied in government, retail, and commercial sectors; 2) user-generated criteria and objective preferences applied in widely-used decision frameworks; 3) assessments of the feasibility of obtaining data at a geographic scale where DOD tactical/operational level users can benefit from the model outputs; and 4) social science theory related to the HA domain criteria that form the foundation of potential decision models. |
| Address |
Army Geospatial Center, US Army Corps of Engineers, United States; Engineer Research and Development Center, US Army Corps of Engineers, United States |
| Corporate Author |
|
Thesis |
|
| Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Emergency Management Information Systems |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
401 |
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| Author |
Gabriel Jakobson; Nandan Parameswaran; John Buford; Lundy Lewis; Pradeep Ray |
| Title |
Situation-Aware multi-Agent system for disaster relief operations management |
Type |
Conference Article |
| Year |
2006 |
Publication |
Proceedings of ISCRAM 2006 – 3rd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2006 |
| Volume |
|
Issue |
|
Pages |
313-324 |
| Keywords |
Architecture; Disasters; Information systems; Multi agent systems; BDI Agent; Belief-desire-intention models; Disaster relief operations; Disaster situations; Large-scale disasters; Situation assessment; Situation identifications; Situation management; Disaster prevention |
| Abstract |
Natural and human-made disasters create unparalleled challenges to Disaster Situation Management (DSM). One of the major weaknesses of the current DSM solutions is the lack of comprehensive understanding of the overall disaster operational situation, and very often making decisions based on a single event. Such weakness is clearly exhibited by the solutions based on the widely used Belief-Desire-Intention (BDI) models for building the Muiti-Agent Systems (MAS). In this work we present the adaptation of the AESOP situation management architecture to address the requirements of disaster relief operations. In particular, we extend the existing BDI model with the capability of situation awareness. We describe how the key functions of event collection, situation identification, and situation assessment are implemented in MAS architecture suitable to the characteristics of large-scale disaster recovery. We present the details of a BDI agent in this architecture including a skeleton ontology, and the distributed service architecture of the AESOP platform. |
| Address |
Altusys Corp, Australia; University of New South Wales, Australia; Southern New Hampshire University, United States |
| Corporate Author |
|
Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Newark, NJ |
Editor |
B. Van de Walle, M. Turoff |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9090206019; 9789090206011 |
Medium |
|
| Track |
MULTIAGENT SYSTEMS FOR EMERGENCY MANAGEMENT |
Expedition |
|
Conference |
3rd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
617 |
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| Author |
Rene Windhouwer; Gerdien A. Klunder; F.M. Sanders |
| Title |
Decision support system emergency planning, creating evacuation strategies in the event of flooding |
Type |
Conference Article |
| Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
| Volume |
|
Issue |
|
Pages |
171-180 |
| Keywords |
Artificial intelligence; Behavioral research; Decision support systems; Disaster prevention; Disasters; Information systems; Oil well flooding; Risk perception; Traffic control; Decision support system (dss); Decision supports; Emergency planning; Evacuation; Evacuation strategy; Extreme weather; River flooding; Traffic flow; Floods |
| Abstract |
The Decision Support System (DSS) Emergency Planning is designed for use in the event of sea or river flooding. It makes accessible all the information related to the decision whether to evacuate an area. An important factor in this decision is the time required for the evacuation. The model used by the DSS Emergency Planning system to estimate the time required employs a strategy that prevents congestion on the road network in the area at risk. The use of the DSS Emergency Planning system during the proactive and prevention phases enables disaster containment organisations to prepare better for a flood situation. Moreover, all relevant information is saved and is therefore available for the post-disaster evaluation. The DSS Emergency Planning system can play a significant role in ensuring that the evacuation of an area at risk goes according to plan. In the future the DSS Emergency Planning system can also be used to evacuate people in the event of a nuclear, natural fire or extreme weather disaster. |
| Address |
Ingenieursbureau Oranjewoud, Netherlands; TNO Inro, Netherlands |
| Corporate Author |
|
Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
| Track |
DECISION SUPPORT SYSTEMS |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
1094 |
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| Author |
Gary M. Fetter; Mauro Falasca |
| Title |
Establishing the need for decision support in disaster debris disposal |
Type |
Conference Article |
| Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
Artificial intelligence; Civil defense; Debris; Decision support systems; Disaster prevention; Disasters; Knowledge based systems; Risk management; User interfaces; Waste disposal; Atlantic hurricane; Decision support system frameworks; Decision supports; Disaster preparedness; Disaster recovery; Emergency management; Nature of disasters; Work-in-progress; Information management |
| Abstract |
One of the most important and costly aspects of recovery operations is debris collection and disposal. The unique nature of disaster debris and the extreme amounts generated as a result of the disaster event create challenges for decision makers that are not typically encountered during every day solid-waste disposal operations. This work-in-progress research is aimed at identifying the unique aspects of disaster debris disposal and the need for decision support, which addresses these unique aspects, to assist emergency management coordinators with allocating resources during on-going debris cleanup operations. We will present a decision support system framework, discuss aspects of the knowledge base, model base, and user interface, and show how an emergency management coordinator might use the system during ongoing daily operations using real-world data from a 2003 Atlantic hurricane. |
| Address |
Global Management and Strategy Department, Western Carolina University, United States; Department of Marketing and Supply Chain Management, East Carolina University, United States |
| Corporate Author |
|
Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
| Track |
Analytical Information Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
490 |
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| Author |
Geoffrey Hoare; Jeffrey Nield; Tom Belcuore; Tom Rich |
| Title |
Information needs and decision support in health and medical disasters |
Type |
Conference Article |
| Year |
2008 |
Publication |
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2008 |
| Volume |
|
Issue |
|
Pages |
778-786 |
| Keywords |
Artificial intelligence; Database systems; Decision making; Decision support systems; Disaster prevention; Disasters; Health; Information systems; Decision makers; Decision supports; Disaster management; Incident command systems; Incident Management; Information overloads; Medical decision making; Medical systems; Information management |
| Abstract |
During a disaster, health and medical decision makers need accurate, timely information. However, it is seldom readily available to the right decision makers, at the right time. Quite a number of databases currently exist with information about health and medical organizations which decision makers need during a disaster. Some of these databases have functions that facilitate decision-making and communication before, during and after a disaster. In theory, linking several existing databases will supply this information. Also, other functions can be provided in one package for incident management and monitoring of the preparedness capacity of a State's health and medical systems. But, this has not happened yet in Florida. This research assessed the different users needs, defined the information required to make good decisions and is testing a pilot decision support system of linked databases. |
| Address |
Florida Department of Health, United States; ESS Group, United States; Abt Assoc., United States |
| Corporate Author |
|
Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Washington, DC |
Editor |
F. Fiedrich, B. Van de Walle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780615206974 |
Medium |
|
| Track |
Applications for Mitigating Information Overload |
Expedition |
|
Conference |
5th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
586 |
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| Author |
Stella Moehrle |
| Title |
Generic self-learning decision support system for large-scale disasters |
Type |
Conference Article |
| Year |
2012 |
Publication |
ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2012 |
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
Artificial intelligence; Decision making; Decision support systems; Disaster prevention; Disasters; Information systems; Complex structure; Decision makers; Decision making process; Decision process; Disaster management; Emergency response; Large-scale disasters; Work in progress; Emergency services |
| Abstract |
Large-scale disasters, particularly failures of critical infrastructures, are exceptional situations which cannot be solved with standard countermeasures. The crises are complex and the decision makers face acute time pressure to respond to the disaster. IT based decision support systems provide potential solutions and assist the decision making process. Many decision support systems in emergency response and management concentrate on one kind of disaster. Moreover, complex structures are modeled and recommendations are made rule-based. This work in progress paper describes the first steps towards the development of a generic and self-learning decision support system. The methodology used is case-based reasoning. The paper concludes with a sample emergency decision process. © 2012 ISCRAM. |
| Address |
Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
Simon Fraser University |
Place of Publication |
Vancouver, BC |
Editor |
L. Rothkrantz, J. Ristvej, Z.Franco |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780864913326 |
Medium |
|
| Track |
Track Decision Support Methods for Complex Crises |
Expedition |
|
Conference |
9th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
171 |
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| Author |
Flávio E. A. Horita; João Porto De Albuquerque |
| Title |
An approach to support decision-making in disaster management based on volunteer geographic information (VGI) and spatial decision support systems (SDSS) |
Type |
Conference Article |
| Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
| Volume |
|
Issue |
|
Pages |
301-306 |
| Keywords |
Artificial intelligence; Decision making; Decision support systems; Disaster prevention; Information systems; Disaster management; Extreme events; Geographic information; Spatial decision support systems; Updated informations; Vgi; Volunteered geographic information; Work-in-progress; Disasters |
| Abstract |
The damage caused by recent events in Japan in 2011 and USA in 2012 highlighted the need to adopt measures to increase the resilience of communities against extreme events and disasters. In addition to the conventional and official information that is necessary for adaptation to disasters, recently, common citizens residents in the affected areas also began contributing with voluntary qualified and updated information. In this context, this work-in-progress presents an approach that uses voluntary information – Also known by VGI (Volunteered Geographic Information) – As a data source for Spatial Decision Support Systems (SDSS) in order to assist the decision-making in disaster management. Our approach consists of a framework that integrates voluntary and conventional data, a SDSS and processes and methods for decision-making. As a result, it is expected that this approach will assist official organizations in disaster management by providing mechanisms and information. |
| Address |
Department of Computer Systems, ICMC University of São Paulo, São Carlos/SP, Brazil |
| Corporate Author |
|
Thesis |
|
| Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Decision Support Systems |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
592 |
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| Author |
Albert Y. Chen; Feniosky Peña-Mora; Saumil J. Mehta; Stuart Foltz; Albert P. Plans; Brian R. Brauer; Scott Nacheman |
| Title |
A GIS approach to equipment allocation for structural stabilization and civilian rescue |
Type |
Conference Article |
| Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
Artificial intelligence; Decision support systems; Disaster prevention; Disasters; Geographic information systems; Information systems; Lifesaving equipment; Radio frequency identification (RFID); Equipment allocation; Illinois fire service institutes; Resource repositories; Situational awareness; Structural condition; Structural stabilization; Urban search and rescue; Urban search and rescue operations; Emergency services |
| Abstract |
Efficient request and deployment of critical resources for urban search and rescue operations is vital to emergency response. This paper presents a RFID (Radio Frequency Identification) supported system for on-site data collection to communicate structural condition, to track search and rescue status, and to request and allocate appropriate resources. The system provides a unified interface for efficient posing, gathering, storing and sharing of building assessment information. Visualization and easy access of such information enables rescuers to response to the disaster with better situational awareness. Resource requests are sent to the GIS resource repository service that enables a visual disaster management environment for resource allocation. Request and deployment of critical resources through this system enables lifesaving efforts, with the appropriate equipment, operator, and materials, become more efficient and effective. System development at the Illinois Fire Service Institute has shown promising results. |
| Address |
University of Illinois, Urbana-Champaign, United States; Columbia University, United States; Construction Engineering Research Lab, United States; Universitat of Politècnica, Catalunya, Spain; Illinois Fire Service Institute, United States; Thornton Tomasetti, United States |
| Corporate Author |
|
Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
|
Medium |
|
| Track |
Open Track |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
388 |
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| Author |
Stella Moehrle |
| Title |
On the assessment of disaster management strategies |
Type |
Conference Article |
| Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
| Volume |
|
Issue |
|
Pages |
215-219 |
| Keywords |
Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Case based reasoning systems; Decision makers; Disaster management; Disasters |
| Abstract |
Decision support systems can recommend strategies for disaster management, which can be further discussed by decision-makers. To provide rationales for the recommendations, the strategies need to be assessed according to relevant criteria. If several strategies are available, the criteria can be used for ranking the strategies. This paper addresses the issue concerning the choice of suitable criteria from several perspectives. The assessment integrates concepts on robustness, experience with regard to the implementation of a strategy, quantifiable ratios which can be deduced from simulations, and system-specific parameters. Objectives are to facilitate transparency with respect to the assessments, to provide a basis for discussions concerning the strategies, and to preserve adaptability and flexibility to account for the variability of disasters and users' preferences. The assessment should be used for ranking solutions gained from a case-based reasoning system and to reveal contributions of criteria values to the overall assessment. |
| Address |
Institute for Nuclear and Energy Technologies, Karlsruhe Institute of Technology, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
| Track |
Decision Support Systems |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
776 |
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| Author |
Klaus Granica; Thomas Nagler; Markus M. Eisl; Mathias Schardt; Helmut Rott |
| Title |
Satellite remote sensing data for an alpine related disaster management GIS |
Type |
Conference Article |
| Year |
2005 |
Publication |
Proceedings of ISCRAM 2005 – 2nd International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2005 |
| Volume |
|
Issue |
|
Pages |
221-232 |
| Keywords |
Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Interferometry; Observatories; Satellites; Transportation routes; Change detection; Digital terrain model; Disaster management; Dss; Earth observations; GIS based decision support systems; Satellite remote sensing; Satellite remote sensing data; Disasters |
| Abstract |
Natural disasters are an age-old problem that occur regularly in alpine regions, posing a major threat to the safety of settlements and transport routes. Within the project “Safety of Alpine Routes – Application of Earth Observation Combined with GIS (Hannibal)”, financed by the Ministry of Transport and Innovation, information relevant for disaster management has been extracted from satellite remote sensing and integrated into a newly developed GIS based Decision Support System (DSS). Some of the required map information were inferred from ERS- or from SPOT5- and QUICKBIRD satellites, others were taken from conventional data sources such as maps or Digital Terrain Models. |
| Address |
JOANNEUM Research, Austria; ENVEO, Austria; GEOSPACE, Austria |
| Corporate Author |
|
Thesis |
|
| Publisher |
Royal Flemish Academy of Belgium |
Place of Publication |
Brussels |
Editor |
B. Van de Walle, B. Carle |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9076971099 |
Medium |
|
| Track |
GEOGRAPHIC INFORMATION SYSTEMS |
Expedition |
|
Conference |
2nd International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
542 |
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| Author |
Stella Moehrle |
| Title |
Modeling of countermeasures for large-scale disasters using high-level petri nets |
Type |
Conference Article |
| Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
| Volume |
|
Issue |
|
Pages |
284-289 |
| Keywords |
Artificial intelligence; Decision support systems; Disaster prevention; Information systems; Petri nets; Automatic processing; Disaster management; Generic approach; Generic decisions; High-level Petri nets; Large-scale disasters; Disasters |
| Abstract |
In order to support decision-making in large-scale disasters, IT-based decision support systems provide appropriate countermeasures to respond to the event. For the implementation of measures, logical and temporal dependencies have to be considered. Furthermore, factors influencing the choice of measures should be taken into account. This paper presents a generic approach to modeling sequences of countermeasures using Highlevel Petri Nets including information about the influencing factors and endangered objects. Moreover, an approach to combining several nets is proposed, which establish new sequences for recommendation. The research is part of the development of a generic decision support system for large-scale disasters. Consequently, the focus is on modeling in a generic manner and on automatic processing. |
| Address |
Institute for Nuclear and Energy Technologies, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Decision Support Systems |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
777 |
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| Author |
Soudip Roy Chowdhury; Muhammad Imran; Muhammad Rizwan Asghar; Amer-Yahia, S.; Carlos Castillo |
| Title |
Tweet4act: Using incident-specific profiles for classifying crisis-related messages |
Type |
Conference Article |
| Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
| Volume |
|
Issue |
|
Pages |
834-839 |
| Keywords |
Artificial intelligence; Disaster prevention; Classification methods; Crisis informatics; Disaster management; Micro-blogging platforms; Microblogging; Precision and recall; Standard machines; Twitter data-analytics; Information systems |
| Abstract |
We present Tweet4act, a system to detect and classify crisis-related messages communicated over a microblogging platform. Our system relies on extracting content features from each message. These features and the use of an incident-specific dictionary allow us to determine the period type of an incident that each message belongs to. The period types are: Pre-incident (messages talking about prevention, mitigation, and preparedness), during-incident (messages sent while the incident is taking place), and post-incident (messages related to the response, recovery, and reconstruction). We show that our detection method can effectively identify incident-related messages with high precision and recall, and that our incident-period classification method outperforms standard machine learning classification methods. |
| Address |
University of Trento, Italy; Fehler Textmarke Nicht Definiert, University of Trento, Italy; CNRS, LIG, France; QCRI, Doha, Qatar |
| Corporate Author |
|
Thesis |
|
| Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Social Media |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
396 |
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| Author |
Michael R. Bartolacci; Albena Mihovska; Dilek Ozceylan Aubrecht |
| Title |
Optimization modeling and decision support for wireless infrastructure deployment in disaster planning and management |
Type |
Conference Article |
| Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
| Volume |
|
Issue |
|
Pages |
674-677 |
| Keywords |
Base stations; Decision support systems; Disaster prevention; Disasters; Equipment; Information dissemination; Information systems; Mobile telecommunication systems; Optimization; Wireless networks; Communication solutions; Disaster planning; Optimization modeling; Real-time management; Wireless communications; Wireless infrastructure deployments; Wireless network optimizations; Wireless technologies; Wireless telecommunication systems |
| 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. |
| Address |
Penn State University, Berks, United States; CTIF-Aalborg Univerity, Denmark; Sakarya University, Turkey |
| Corporate Author |
|
Thesis |
|
| Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Analytical Modelling and Simulation |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
295 |
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| Author |
Michael R. Bartolacci; Christoph Aubrecht; Dilek Ozceylan Aubrecht |
| Title |
A portable base station optimization model for wireless infrastructure deployment in disaster planning and management |
Type |
Conference Article |
| Year |
2014 |
Publication |
ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2014 |
| Volume |
|
Issue |
|
Pages |
50-54 |
| Keywords |
Base stations; Disaster prevention; Disasters; Information systems; Mathematical models; Optimization; Wireless telecommunication systems; Ad hoc mobile networks; Cellular mobile networks; Disaster planning; Optimization modeling; Real-time management; Wireless communications; Wireless infrastructure deployments; Wireless telecommunications; Emergency services |
| Abstract |
Disaster response requires communications among all affected parties including emergency responders and the affected populace. Wireless telecommunications, if available through a fixed structure cellular mobile network, satellites, portable station mobile networks and ad hoc mobile networks, can provide this means for such communications. While the deployment of temporary mobile networks and other wireless equipment following disasters has been successfully accomplished by governmental agencies and mobile 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' (including time aspects) to deploy. This work-in-progress does not focus on the question of what entity will operate the portable base during a disaster, but on optimizing the placement of mobile base stations or similar network nodes for planning and real time management purposes. An optimization model is proposed for the staging and placement of portable base stations to support disaster relief efforts. |
| Address |
Pennsylvania State University – Berks, United States; AIT Austrian Institute of Technology, Austria; World Bank, United States; Sakarya University, Turkey |
| Corporate Author |
|
Thesis |
|
| Publisher |
The Pennsylvania State University |
Place of Publication |
University Park, PA |
Editor |
S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih. |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9780692211946 |
Medium |
|
| Track |
Analytic Modeling and Simulation |
Expedition |
|
Conference |
11th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
294 |
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| Author |
Zeno Franco; Nina Zumel; John Holman; Kathy Blau; Larry E. Beutler |
| Title |
Evaluating the impact of improvisation on the incident command system: A modified single case study using the DDD simulator |
Type |
Conference Article |
| Year |
2009 |
Publication |
ISCRAM 2009 – 6th International Conference on Information Systems for Crisis Response and Management: Boundary Spanning Initiatives and New Perspectives |
Abbreviated Journal |
ISCRAM 2009 |
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
Behavioral research; Disaster prevention; Disasters; Human resource management; Information systems; Risk management; Simulators; Improvisation; Incident command systems; Performance assessment; Psychology; Simulation; Intelligent control |
| Abstract |
This study attempted to evaluate the utility of the Incident Command System (ICS) in varying disaster contexts. ICS is mandated in the United States and practitioners assert that it is an effective organizing system for emergency management. However, researchers contend that the utility of ICS is conflated with inter-team familiarity gained during ICS exercises. A military team-in-the-loop simulator was customized to represent the problems, resources, and command structures found in civilian led disaster management teams. A modified single case design drawn from behavioral psychology was used to explore possible casual relationships between changes team heterogeneity and performance. The design also allowed for the evaluation of improvisation on performance. Further, psychological factors that may underpin improvisation were explored. In addition to some preliminary empirical findings, the successes and difficulties in adapting the DDD simulator are briefly discussed as part of an effort to achieved greater interdisciplinary integration. |
| Address |
Pacific Graduate School of Psychology, United States; Quimba Software, United States |
| Corporate Author |
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Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Gothenburg |
Editor |
J. Landgren, S. Jul |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9789163347153 |
Medium |
|
| Track |
Research Methods |
Expedition |
|
Conference |
6th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
506 |
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| Author |
Stefan Moellmann; David Braun; Hagen Engelmann; Wolfgang Raskob |
| Title |
Key performance indicator based calculations as a decision support for the tactical level |
Type |
Conference Article |
| Year |
2011 |
Publication |
8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 |
Abbreviated Journal |
ISCRAM 2011 |
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
Benchmarking; Decision support systems; Disaster prevention; Disasters; Information systems; Key performance indicators; Rest; Soa; Tactical level; Tso; Interoperability |
| Abstract |
For the planning of relief operations the duration and the necessary resources are key factors for a successful completion. Those factors, however, are difficult to estimate due to the large number of influencing factors in a complex crisis situation. This paper presents a software module that supports the planning by calculating the duration and the required resources for relief measures based on key performance indicators (KPI). It is part of a project called SECURITY2People aiming to develop the basics for an integrated disaster management system. The module consists of an easy to use tool to calculate the timing of a relief measure when applied to a given disaster site. In addition it contains a detailed view to display and edit the model of the selected measure which is depicted as a Gantt chart and forms the basis of the calculation. Finally, the paper describes how this module can benefit from interoperability with other modules of this project and existing systems and services. |
| Address |
Karlsruhe Institute of Technology, Germany |
| Corporate Author |
|
Thesis |
|
| Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Lisbon |
Editor |
M.A. Santos, L. Sousa, E. Portela |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
|
Series Title |
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Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9789724922478 |
Medium |
|
| Track |
Intelligent Systems |
Expedition |
|
Conference |
8th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
778 |
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