Abstract
Social Media (SM) Volunteered Geographic Information (VGI) is gradually being used for representing the real-time situation during emergency. This chapter presents the SM-VGI review as a new age contribution to emergency management. The study analyses a series of emergencies during the so-called coup attempt within the boundary of Istanbul on the 15th of July 2016 in terms of spatial clusters in time and textual frequencies within 24 h. The aim of the study is to gain an understanding of the usefulness of geo-referenced Social Media Data (SMD) in monitoring emergencies. Inferences exhibit that SM-VGI can rapidly provide the information in the spatiotemporal context with the proper validations, in this way it has advantages to use during emergencies. In addition, even though geo-referenced data embody the small percent of the total volume of the SMD, it would specify reliable spatial clusters for the events, monitoring with optimized-hot-spot analysis and with the word frequencies of its attributes.
Original language | English |
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Title of host publication | Lecture Notes in Intelligent Transportation and Infrastructure |
Publisher | Springer Nature |
Pages | 131-160 |
Number of pages | 30 |
DOIs | |
Publication status | Published - 2021 |
Publication series
Name | Lecture Notes in Intelligent Transportation and Infrastructure |
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Volume | Part F1384 |
ISSN (Print) | 2523-3440 |
ISSN (Electronic) | 2523-3459 |
Bibliographical note
Publisher Copyright:© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Funding
Acknowledgements This work is supported by the Scientific and Technological Research Council of Turkey (TUBITAK-2214/A Grant Program), grant number 1059B141600822, and Istanbul Technical University Scientific Research Projects Funding Program (ITUBAP-40569), grant number MDK-2017-40569. community’s or society’s ability to cope using its own resources” [2]. The Emergency Event Database (EM-DAT) which was launched by the Centre for Research on the Epidemiology of Disasters (CRED) and initially supported by the World Health Organization (WHO) and the Belgian Government [3]. That global disaster event database indexed disasters by conforming at least one the following criteria; 10 or more people dead, 100 or more people affected, The declaration of a state of emergency, call for international assistance [4].
Funders | Funder number |
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CRED | |
Centre for Research on the Epidemiology of Disasters | |
World Health Organization | |
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu | TUBITAK-2214, 1059B141600822 |
Istanbul Teknik Üniversitesi | ITUBAP-40569, MDK-2017-40569 |
Keywords
- Disaster management
- Social media
- Spatial data mining
- Text mining
- Volunteered geographic information