Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1

Middleton, Stuart E.; Zielinski, Andrea; Necmioğlu, Öcal; Hammitzsch, Martin

doi:10.1007/978-3-319-11364-7_2

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…burned building, damaged roads, fires, tents or shelters, major destruction, and so on. The use of social media in disasters is another direction of recent DHVs practices [22,23]. The exploitation of Twitter for crisis management has been growing in the last decade using different methods and various applications, ranging from natural disasters such as earthquakes or floods to major political conflicts.…”

Section: Further Development Of Dhvs' Practicesmentioning

confidence: 99%

Digital Volunteers in Disaster Response: Accessibility Challenges

Radianti

Gjøsæter

2019

Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments

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The emergence of the Digital Humanitarian Volunteer (DHV) movements when disaster strikes have drawn the attention of researchers and practitioners in the emergency management and humanitarian domain. While there are established players in this rapidly developing field, there are still unresolved challenges, including accessibility of their digital tools and platforms. The purposes of this paper are twofold. First, it describes the background, impact and future potential of the DHV movement, and discusses the importance of universal design for the digital tools and platforms used for crowdsourcing of crisis information. Second, this paper shows how lack of concern for universal design and accessibility can have significant negative impact on the practical use of these tools, not only for people with disabilities, but also for anyone and in particular the DHVs who may be affected by situational disabilities in the field in an emergency situation. The insights from the findings serve as feedback on how to improve digital humanitarian response by broadening the base of potential volunteers as well as making the related tools and platforms more reliably usable in the field.

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Section: Further Development Of Dhvs' Practicesmentioning

confidence: 99%

Digital Volunteers in Disaster Response: Accessibility Challenges

Radianti

Gjøsæter

2019

Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments

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“…A social media crisis mapping platform and statistical analysis were used in Middleton et al 4 to generate a real-time crisis map. Crisis management is studied in Middleton et al 7 How to increase situational awareness is discussed in Yin et al 6…”

Section: Related Workmentioning

confidence: 99%

“…The answer has been sought by engagement of social media, 6 and depicting ways to deal with crisis management. 7 The second question that arises is how to anticipate the range of events, disasters and accidents in advance as we do not know to what extent these disasters and various events will occur in society and nature.…”

Section: Introductionmentioning

confidence: 99%

Classification of incoming calls for the capital city of Slovenia smart city 112 public safety system using open Internet of Things data

Grasic

Kos

Boshkoska

2018

International Journal of Distributed Sensor Networks

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There are many natural conditions in the world, such as floods and earthquakes that cause major accidents. The actual question is how to anticipate and predict such events, which enables us to prepare ourselves in advance. We are interested in the advance classification of incoming calls to the smart city 112 public safety system for Ljubljana, the capital city of Slovenia, and the whole country. We used open Internet of Things data for Ljubljana and the whole of Slovenia for the years 2013-2016. Using different classification methods, different models were obtained and compared with each other. We have provided a report on how accurate the forecasts are and what classification result differences occur when different models or data of the capital city or the whole of Slovenia are used. The results obtained are a sound basis for further work on improving the classification in advance of incoming calls to the smart city 112 public safety system.

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Identifying Relevant Messages in a Twitter-based Citizen Channel for Natural Disaster Situations

Cobo

Parra

Navón

2015

Proceedings of the 24th International Conference on World Wide Web

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During recent years the online social networks (in particular Twitter) have become an important alternative information channel to traditional media during natural disasters, but the amount and diversity of messages poses the challenge of information overload to end users. The goal of our research is to develop an automatic classifier of tweets to feed a mobile application that reduces the difficulties that citizens face to get relevant information during natural disasters. In this paper, we present in detail the process to build a classifier that filters tweets relevant and non-relevant to an earthquake. By using a dataset from the Chilean earthquake of 2010, we first build and validate a ground truth, and then we contribute by presenting in detail the effect of class imbalance and dimensionality reduction over 5 classifiers. We show how the performance of these models is affected by these variables, providing important considerations at the moment of building these systems.

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Spatio-Temporal Decision Support System for Natural Crisis Management with TweetComP1

Cited by 4 publications

References 13 publications

Digital Volunteers in Disaster Response: Accessibility Challenges

Digital Volunteers in Disaster Response: Accessibility Challenges

Classification of incoming calls for the capital city of Slovenia smart city 112 public safety system using open Internet of Things data

Identifying Relevant Messages in a Twitter-based Citizen Channel for Natural Disaster Situations

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