Records |
Author |
Tobias Hellmund; Jürgen Moßgraber; Manfred Schenk; Philipp Hertweck; Hylke van der Schaaf; Hans Springer |
Title |
The Design and Implementation of ZEUS: Novel Support in Managing Large-Scale Evacuations |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
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Issue |
|
Pages |
1003-1014 |
Keywords |
Management of Large-Scale Evacuations, Emergency Accommodation Management, Evacuation Management |
Abstract |
This paper introduces ZEUS, a novel software tool for the management of large-scale evacuations. The tasks ZEUS supports were derived from two Standard Operating Procedures, developed on demand of the German federal states. To this date, the authors are not aware of another software tool that gives technical support to the management and control of large-scale evacuations as ZEUS does. It comprises functionalities to (pre-)plan a large-scale evacuation, as well as functions for the management of the flow of evacuees during an evacuation situation. This paper describes how the requirements of ZEUS were derived from the two named planning frameworks and how use-cases were developed to meet the requirements; these use-cases were conceptualized as different steps of a workflow. In an evaluation, the paper gives credit how ZEUS can provide technical support for the evaluation of large-scale evacuations. ZEUS will undergo a two-staged review process: first, a controlled theoretical scenario is tested and, upon successful completion, a practical test on a large scale will be executed. |
Address |
Fraunhofer IOSB; Fraunhofer IOSB; Fraunhofer IOSB; Fraunhofer IOSB; Fraunhofer IOSB; Ministry of Interior, Digitization, and Migration Baden-Württemberg |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
Other |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
tobias.hellmund@iosb.fraunhofer.de |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2392 |
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Author |
Haya Aldossary; Graham Coates |
Title |
Multi-objective Optimization for Coordinating Emergency Resources in Multiple Mass Casualty Incidents |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
1015-1027 |
Keywords |
Co-ordination, Neighborhood Search Algorithm, Optimization, Scheduling |
Abstract |
Effective co-ordination between resource-constrained emergency services during multiple mass casualty incidents (MCIs) plays a significant role in the response phase. In such a case, the co-ordination problem needs to be solved, namely the allocation of responders-to-incidents, responders-to-casualties, vehicles to travel to casualties at incidents and transport casualties to hospitals, and task assignment to responders and vehicles. A Neighborhood Search Algorithm (NSA) is employed to solve the co-ordination problem with the aim of reducing the suffering of casualties, with varying injuries and health classifications. An application of the NSA is enabled using a hypothetical case study of MCIs including three scenarios in a major urban area of the UK. The experiments conducted show the effectiveness of using different approaches to generate an initial response plan, and the performance of the NSA in developing a final optimized plan. |
Address |
Newcastle University; Newcastle University |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
Other |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
h.aldossary2@newcastle.ac.uk |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2393 |
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Author |
Ylenia Casali; Nazli Yonca Aydin; Tina Comes |
Title |
Zooming into Socio-economic Inequalities: Using Urban Analytics to Track Vulnerabilities – A Case Study of Helsinki |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
|
Issue |
|
Pages |
1028-1041 |
Keywords |
inequality, socio-economic patterns, vulnerability, PCA, GIS, urban analytics, Helsinki |
Abstract |
The Covid19 crisis has highlighted once more that socio-economic inequalities are a main driver of vulnerability. Especially in densely populated urban areas, however, these inequalities can drastically change even within neighbourhoods. To better prepare for urban crises, more granular techniques are needed to assess these vulnerabilities, and identify the main drivers that exacerbate inequality. Machine learning techniques enable us to extract this information from spatially geo-located datasets. In this paper, we present a prototypical study on how Principal Component Analysis (PCA) to analyse the distribution of labour and residential characteristics in the urban area of Helsinki, Finland. The main goals are twofold: 1) identify patterns of socio-economic activities, and 2) study spatial inequalities. Our analyses use a grid of 250x250 meters that covers the whole city of Helsinki, thereby providing a higher granularity than the neighbourhood-scale. The study yields four main findings. First, the descriptive statistical analysis detects inequalities in the labour and residential distributions. Second, relationships between the socio-economic variables exist in the geographic space. Third, the first two Principal Components (PCs) can extract most of the information about the socio-economic dataset. Fourth, the spatial analyses of the PCs identify differences between the Eastern and Western areas of Helsinki, which persist since the 1990s. Future studies will include further datasets related to the distribution of urban services and socio-technical indicators. |
Address |
TU Delft; TU Delft; TU Delft |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
Other |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
Y.Casali@tudelft.nl |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2394 |
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Author |
Bruna Diirr; Vânia de Oliveira Neves; Marcus Vinícius Vasconcelos de Almeida Cunha; Ana Beatriz Kapps dos Reis; Jairo Francisco de Souza |
Title |
Software Requirements for Disaster Management Systems |
Type |
Conference Article |
Year |
2021 |
Publication |
ISCRAM 2021 Conference Proceedings – 18th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2021 |
Volume |
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Issue |
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Pages |
1042-1054 |
Keywords |
Software Requirements, Systematic Literature Mapping, Repository Mining, Disaster Management Systems |
Abstract |
Disasters are a major global problem and a serious threat to sustainable development. In this context, the development of disaster management systems becomes a complex activity, both due to the unpredictability of the events to be treated and the difficulty in extracting or identifying these systems users' needs (requirements). This study aims to understand the requirements usually elicited for disaster management systems and how such requirements are identified. Thus, a systematic mapping of literature (SM) and an open-source repository mining (RM) were performed. Results bring benefits both to academics and practitioners, as detail several characteristics of disaster management systems that could assist these systems development and decision-making, besides providing inputs to guide further research. |
Address |
Universidade Federal do Estado do Rio de Janeiro; Universidade Federal Fluminense; Universidade Federal de Juiz de Fora; Universidade Federal de Juiz de Fora; Federal University of Juiz de Fora |
Corporate Author |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Anouck Adrot; Rob Grace; Kathleen Moore; Christopher W. Zobel |
Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-61-5 |
ISBN |
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Medium |
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Track |
Other |
Expedition |
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Conference |
18th International Conference on Information Systems for Crisis Response and Management |
Notes |
bruna.diirr@uniriotec.br |
Approved |
no |
Call Number |
ISCRAM @ idladmin @ |
Serial |
2395 |
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