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Sophie Gerstmann, Hans Betke, & Stefan Sackmann. (2019). Towards Automated Individual Communication for Coordination of Spontaneous Volunteers. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: In recent years, spontaneous volunteers often turned out to be a critical factor to overcome disaster situations and
avoid further damages to life and assets. These Volunteers coordinate their activities using social media and
mobile devices but are not integrated in usual command and control structures of disaster responders. The lack of
professional disaster response knowledge leads to a waste of potential workforce or even dangerous situations for
the volunteers. In this paper, a novel approach for a centralized coordination of spontaneous volunteers through
disaster response professionals while using popular communication channels esp. messaging services (e.g.
Facebook Messenger, WhatsApp) is presented. The architecture of a volunteer coordination system focusing on
automated multi-channel communication is shown and the possibilities of a universal chatbot for individual
assignment and scheduling of volunteers are discussed. The paper also provides first insights in a demonstrator
system as a practical solution.
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Starr Roxanne Hiltz, Amanda Hughes, Muhammad Imran, Linda Plotnick, Robert Power, & Murray Turoff. (2019). Requirements for Software to Support the use of Social Media in Emergency Management: A Delphi Study. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Social Media contain a wealth of information that could improve the situational awareness of Emergency Managers during a crisis, but many barriers stand in the way. These include information overload, making it impossible to deal with the flood of raw posts, and lack of trust in unverified crowdsourced data. The purpose of this project is to build a communications bridge between emergency responders and technologists who can provide the advances needed to realize social media?s full potential. We are employing a Delphi study survey design, which is a technique for exploring and developing consensus among a group of experts around a particular topic. Participants include emergency managers and technologists with experience in software to support the use of social media in crisis response, from many countries. The topics of the study are described and preliminary, partial results presented for Round 1 of the study, based on 33 responses.
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Stathis G. Arapostathis. (2019). Instagrammers report about the deadly wildfires of East Attica, 2018, Greece: An introductory analytic assessment for disaster management purposes. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: This article contributes to identifying the capabilities of Instagram when utilized as a source of Volunteered
Geographic Information (VGI) for disaster management (DM) purposes. The geographic focus of this research is
in the Mediterranean area. As case study, the fire event of East Attica 2018, Greece, was chosen. This major fire
occurred on the 23rd of July 2018 and caused the death of 100 people, the injury of additional 164 while the total
burnt area was about 1275,9ha. It is the deadliest in modern Greece?s history and the second deadliest at a global
level, within the 21st century. About 15000 related photos along with the corresponding captions and timestamps
were crawled from Instagram. An initial sample of about 1100, was analyzed, by using a certain methodology
divided in certain steps, the most important of which include the classification of the information to certain
categories, geo-referencing and the creation of graphs and maps that visualize the processed data.
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Steve Peterson, Keri Stephens, Hemant Purohit, & Amanda Hughes. (2019). When Official Systems Overload: A Framework for Finding Social Media Calls for Help during Evacuations. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: During large-scale disasters it is not uncommon for Public Safety Answering Points (e.g., 9-1-1) to encounter
service disruptions or become overloaded due to call volume. As observed in the two past United States hurricane
seasons, citizens are increasingly turning to social media whether as a consequence of their inability to reach
9-1-1, or as a preferential means of communications. Relying on past research that has examined social media
use in disasters, combined with the practical knowledge of the first-hand disaster response experiences, this paper
develops a knowledge-driven framework containing parameters useful in identifying patterns of shared
information on social media when citizens need help. This effort explores the feasibility of determining
differences, similarities, common themes, and time-specific discoveries of social media calls for help associated
with hurricane evacuations. At a future date, validation of this framework will be demonstrated using datasets
from multiple disasters. The results will lead to recommendations on how the framework can be modified to make
it applicable as a generic disaster-type characterization tool.
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Steven Sheetz, Andrea Kavanaugh, Edward Fox, Riham Hassan, Seungwon Yang, Mohamed Magdy, et al. (2019). Information Uses and Gratifications Related to Crisis: Student Perceptions since the Egyptian Uprising. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: People use diverse sources of information, e.g., newspapers, TV, Internet news, social media, and face-to-face
conversations, to make sense of crises. We apply uses and gratifications theory (UGT) and structural equation
modeling to illustrate how using internet-based information sources since the political uprisings in Egypt influence
perceptions of information satisfaction. Consistent with expectations we find that content and process gratifications
constructs combine to explain information satisfaction, while social gratifications do not significantly influence
satisfaction in the context of a crisis. This suggests that UGT is useful for evaluating the use of information
technology in a context where information is limited in quantity and reliability.
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Susanne Kubisch, Johanna Stötzer, Sina Keller, María Bull, & Andreas Braun. (2019). Combining a social science approach and GIS-based simulation to analyse evacuation in natural disasters: A case study in the Chilean community of Talcahuano. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: In rapid-onset disasters the time needed for evacuation is crucial. Aside from the behaviour of the population, the
road network plays a fundamental role. It serves as a medium to reach a safe area. This study analyses the entire
evacuation process, from decision-making up to the arrival at an evacuation zone by combining standardised
questionnaires and GIS-based simulation. Based on a case study in the Chilean community of Talcahuano, an
event-based past scenario and a hypothetical future scenario is investigated, integrating the affected population in
the research process. The main problem identified in past evacuations has been time delay due to congestions,
which also is evident in the results of the hypothetical future scenario. A result which supports evacuation by foot.
This paper argues that a combination of scientific methods is essential for analysing evacuation and to reduce the
risk due to time delay, critical route and transport medium choice.
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Terje Gjøsæter, Jaziar Radianti, & Weiqin Chen. (2019). Understanding Situational Disabilities and Situational Awareness in Disasters. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: In this paper, a scenario-based approach augmented with personas typically used in universal design and
interactive design domains is used to illustrate the occurrence of situational disabilities in emergency situations,
and to show how environmental factors can trigger these situational disabilities. With the help of personas
representing selected archetypical characteristics and roles, the scenarios are further examined to show how these
situational disabilities can affect the situational awareness of different stakeholders, not only in the command and
control centers, but also first responders in the field as well as affected members of the public. This approach
provides a better understanding of the importance of universal design of ICT for Emergency Management, not
only for people with disabilities and the elderly, but for anyone.
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Thomas Spielhofer, Anna Sophie Hahne, Christian Reuter, Marc-André Kaufhold, & Stefka Schmid. (2019). Social Media Use in Emergencies of Citizens in the United Kingdom. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: People use social media in various ways including looking for or sharing information during crises or emergencies
(e.g. floods, storms, terrorist attacks). Few studies have focused on European citizens? perceptions, and just one
has deployed a representative sample to examine this. This article presents the results of one of the first
representative studies on this topic conducted in the United Kingdom. The study shows that around a third (34%)
have used social media during an emergency and that such use is more widespread among younger people. In
contrast, the main reasons for not using social media in an emergency include technological concerns and that the
trustworthiness of social media content is doubtful. However, there is a growing trend towards increased use. The
article deduces and explores implications of these findings, including problems potentially arising with more
citizens sharing information on social media during emergencies and expecting a response.
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Toshihiro Osaragi, & Noriaki Hirokawa. (2019). Simulation Analysis of Fire Hydrant Usability Levels after Large Earthquake. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Since large earthquakes can disrupt water supply networks, it is essential to gain an understanding of the expected
usability of fire hydrants in post-quake firefighting activities. In this study, data about water supply networks was
collected and a water outage simulation model was constructed in order to predict the likelihood that individual
fire hydrants would become unusable in the wake of a large earthquake. The water outage simulation model was
integrated with a previously developed urban zone damage simulation and a fire department activity simulation
in order to carry out a simulation-based analysis of the 23 wards of Tokyo, after which a quantitative analysis of
the relation-ship between use of fire hydrants and the number of buildings lost to fire was performed. This analysis
revealed the benefits of hardening water lines against earthquakes, fire hydrant usage variations depending on
locality, and the benefits of using water pressure sensors to identify usable fire hydrants.
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Valerio Lorini, Carlos Castillo, Francesco Dottori, Milan Kalas, Domenico Nappo, & Peter Salamon. (2019). Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: This paper describes a prototype system that integrates social media analysis into the European Flood Awareness
System (EFAS). This integration allows the collection of social media data to be automatically triggered by flood
risk warnings determined by a hydro-meteorological model. Then, we adopt a multi-lingual approach to find
flood-related messages by employing two state-of-the-art methodologies: language-agnostic word embeddings
and language-aligned word embeddings. Both approaches can be used to bootstrap a classifier of social media
messages for a new language with little or no labeled data. Finally, we describe a method for selecting relevant and
representative messages and displaying them back in the interface of EFAS.
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Victor A. Bañuls Silvera, Rafael Cantueso Burguillos, Fernando Tejedor Panchón, Miguel Ramírez de la Huerga, & Murray Turoff. (2019). A Delphi approach for the establishment of the fundamental principles of an Organizational Security System in Public Administration. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: The aim of this work is defining fundamental principles of an Internal Security System in the presence of intentional risks in Public Administration. The relevance of this object of study has increased even more with the emergence of new terrorist groups and the proliferation of organized crime, which have been categorized as a maximum threat to Security by the government. This context has led to new regulations and legislation on Security matters at the national and international level to protect assets, people and the activity of the Administration itself. Despite the large number of regulations and relevance of this topic, there is not any study which defines in a comprehensive manner the requirements that a security system must have in the presence of intentional risks in Public Administration. The results of this work are intended to be a reference for the Public Administration, for the prevention and reaction to damage to people, property, and operation, intentionally caused by external agents, personnel themselves or users. These principles have been applied and validated through a Delphi process in the Administration of the Regional Government of Andalusia in which more than 40 security-related managers have participated.
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Xiaodan Yu, & Deepak Khazanchi. (2019). The Influence of Swift Trust on Virtual Team's Sensemaking in Crisis: A Research Model. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Virtual teams are an important form of collaboration, especially in the context of transboundary crises. Achieving
team effectiveness through good sensemaking is key to virtual teams? success in responding to crisis. However,
there is still a lack of understanding about the relationship of this sensemaking in a virtual team during crisis to
the virtual team?s development of swift trust. Adapting from a model of sensemaking, in this paper, we propose a
research model to describe the relationships among swift trust, sensemaking and virtual team performance in the
context of virtual teams during crisis.
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Xiujuan Zhao, Jianguo Chen, Peng Du, Wei Xu, Ran Liu, & Hongyong Yuan. (2019). Location-allocation model for earthquake shelter solved using MPSO algorithm. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Constructing shelters in suitable quantities, with adequate capacities and at the right locations is essential for evacuees under earthquake disasters. As one of the disaster management methods, constructing shelters can help to significantly reduce disruption and devastation to affected population. Mathematical models have been used to solve this problem allied with a heuristic optimization algorithm. The optimization of evacuation efficiency, as one of the most important objectives, has many expressive forms, such as minimizing evacuation distance and evacuation time. This paper proposes a new model that aims to minimize evacuation time with a new calculation method and to maximize total evacuees? comfort level. The modified particle swarm optimization (MPSO) algorithm is employed to solve the model and the result is compared with a model that calculated evacuation time differently and a model without distance constraint, respectively.
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Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, & Ferda Ofli. (2019). Identifying Disaster Damage Images Using a Domain Adaptation Approach. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Approaches for effectively filtering useful situational awareness information posted by eyewitnesses of disasters,
in real time, are greatly needed. While many studies have focused on filtering textual information, the research
on filtering disaster images is more limited. In particular, there are no studies on the applicability of domain
adaptation to filter images from an emergent target disaster, when no labeled data is available for the target disaster.
To fill in this gap, we propose to apply a domain adaptation approach, called domain adversarial neural networks
(DANN), to the task of identifying images that show damage. The DANN approach has VGG-19 as its backbone,
and uses the adversarial training to find a transformation that makes the source and target data indistinguishable.
Experimental results on several pairs of disasters suggest that the DANN model generally gives similar or better
results as compared to the VGG-19 model fine-tuned on the source labeled data.
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Yingjie Li, Seoyeon Park, Cornelia Caragea, Doina Caragea, & Andrea Tapia. (2019). Sympathy Detection in Disaster Twitter Data. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Nowadays, micro-blogging sites such as Twitter have become powerful tools for communicating with others in
various situations. Especially in disaster events, these sites can be the best platforms for seeking or providing social
support, of which informational support and emotional support are the most important types. Sympathy, a sub-type
of emotional support, is an expression of one?s compassion or sorrow for a difficult situation that another person
is facing. Providing sympathy to people affected by a disaster can help change people?s emotional states from
negative to positive emotions, and hence, help them feel better. Moreover, detecting sympathy contents in Twitter
can potentially be used for finding candidate donors since the emotion ?sympathy? is closely related to people who
may be willing to donate. Thus, in this paper, as a starting point, we focus on detecting sympathy-related tweets.
We address this task using Convolutional Neural Networks (CNNs) with refined word embeddings. Specifically, we
propose a refined word embedding technique in terms of various pre-trained word vector models and show great
performance of CNNs that use these refined embeddings in the sympathy tweet classification task. We also report
experimental results showing that the CNNs with the refined word embeddings outperform not only traditional
machine learning techniques, such as Naïve Bayes, Support Vector Machines and AdaBoost with conventional
feature sets as bags of words, but also Long Short-Term Memory Networks.
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Yuya Shibuya, & Hideyuki Tanaka. (2019). Detecting Disaster Recovery Activities via Social Media Communication Topics. In Z. Franco, J. J. González, & J. H. Canós (Eds.), Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management. Valencia, Spain: Iscram.
Abstract: Enhancing situational awareness by mining social media has been widely studied, but little work has been done
focusing on recovery phases. To provide evidence to support the possibility of harnessing social media as a sensor
of recovery activities, we examine the correlations between topic frequencies on Twitter and people?s socioeconomic
recovery activities as reflected in the excess demand for used cars and housing, after the Great East
Japan Earthquake and Tsunami of 2011. Our research suggests that people in the disaster-stricken area
communicated more about recovery and disaster damages when they needed to purchase used cars, while the nonlocal
population communicated more about going to and supporting the disaster-stricken area. On the other hand,
regarding the excess demand for housing, when the local population of the disaster-stricken area started to resettle,
they communicated their opinions more than in other periods about disaster-related situations.
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Zeno Franco, José J. González, & José H. Canós. (2019). Proceedings of the 16th International Conference on Information Systems for Crisis Response And Management (Z. Franco, J. J. González, & J. H. Canós, Eds.). Valencia, Spain: Iscram.
Abstract: The theme of ISCRAM 2019 is Towards individual-centric emergency management
systems. This edition wishes to highlight the particular needs of the individual
stakeholder in Crisis and Emergency Management and to stimulate discussions that
enable the design of individual-centric crisis and emergency management systems.
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