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Christelle Pierkot, Sidonie Christophe, & Jean François Girres. (2019). Exploring multiplexing tools for co-visualization in crisis units. 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: Natural hazards can generate damages in large inhabited areas in a very short time period. Crisis managers must
plan interventions very quickly to facilitate the arrival of the first emergency. In a crisis unit, experts visualize
heterogeneous visual representations of spatio-temporal information, in order to facilitate decision-making,
based on various types of screens, i.e. laptops, tablets, or wall screens. Visualizing all this information at the
same time on the same interface would lead to cognitive overload. In this paper, we assume that it could be of
interest to provide innovative co-visualization models and tools, to bring hazard, geospatial and climate
information together, in a shared interface. We propose to explore spatial and temporal multiplexing tools within
a dedicated geovisualization environment, in order to help expert decision-making. The proposition is
implemented with the case study of a tsunami event in the Caribbean sea.
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Esteban Bopp, Johnny Douvinet, & Damien Serre. (2019). Sorting the good from the bad smartphone application to alert residents in case of disasters – Experiments in France. 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 number of smartphone applications to alert and inform the population in a risk situation in France is too large
and these solutions are still unknow by the population. This study proposes an evaluation protocol based on various
indicators, which take into account the capacity of the applications to send a targeted alert, their attractiveness, the
ability of individuals to emit information and number of hazards considered. The results obtained on 50
applications deployed in France show that very few of them meet the objectives of the alert, in the sense defined
by civil security, because of a single-risk approach, a unique sense of communication, and the low acceptance of
these solutions by citizens.
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Humasak Simanjuntak, & Fabio Ciravegna. (2019). Semantic Understanding of Human Mobility Lifestyle to support Crisis Management. 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, we propose a method for understanding the semantics of mobility (mainly related to lifestyle)
patterns based on stay point detection from tracking data. The method identifies the context (trip purpose and
visited point of interest) of tracking data by using large-scale data collection infrastructure. We evaluate our
method with a tracking dataset in Birmingham (European project SETA) generated by 534 users from
September 2017 to September 2018. To this end, we compare insights from the tracking data with check-in
mobility in social media. The results show that both data capture rich human lifestyle features related to the
visited point of interest. Our study provides solid evidence that lifestyle patterns from tracking and social media
data can indeed be useful for understanding and gauging the level of disruption after a crisis, as it is possible to
check the deviation of habits from normal conditions and post-crisis.
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Jorge Vargas-Florez, Grovher Palomino, Andres Flores, Gloria Valdivia, Carlos Saito, Daniel Arteaga, et al. (2019). Identifying potential landslide location using Unmanned Aerial Vehicles (UAVs). 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 impact of landslides is determined by the previous state of vulnerability and susceptibility present in a
community. Vulnerability is related to physical aspects and susceptibility is defined as the propensity or
tendency of an area to be affected by the occurrence of a given hazard. Knowledge of geography allows us to
characterize and measure some of these factors. For example, in landslides called huaicos in Peru, these are
related to the existence of a slope and soil type of the hills favorable to the loosening of land masses, as well as
the increase in rainfall and the presence of streams. The use of UAVs (Unmanned Aerial Vehicles, commonly
called drones) for the identification of susceptibility zones is presented in this paper. The result is positive for
using the georeferenced data to identify potential landslide flow using as unique criterion surface slopes.
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Martin Hilljegerdes, & Ellen-Wien Augustijn-Beckers. (2019). Evaluating the effects of consecutive hurricane hits on evacuation patterns in Dominica. 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 Caribbean island of Dominica is at constant risk of being hit by tropical storms during the hurricane season.
Therefore, Dominica and areas in similar situations need to raise their resilience to natural hazards. The potential
consequences of climate change intensify this risk. After a hurricane hit, repair of damage to buildings and
infrastructure can take several months. As hurricane frequency is increasing and time between hurricanes
fluctuates, modeling sequences of hurricane events can help to determine different evacuation strategies. This
paper introduces an agent-based model, simulating two hurricane events in one season. The prototype simulates
the movement of evacuees over a road network and damage to buildings and infrastructure. Initial results show
marked differences between road movements of evacuees during a second evacuation. Although shifts in the
average shelter occupation are small (up to 2%) for our case study, this can indicate that adjustments to shelter
capacities are necessary.
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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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