KaydedilenlerDerginizi ekleyin

Dergiler / Afet ve Risk Dergisi / 2018 / Cilt: 1 - Sayı: 2

A Literature Review on Big Data and Social Media Usage in Disaster Management

Türkay DERELİ
Nazmiye ÇELİK
Cihan ÇETİNKAYA
Sayfa
114–125
Yayın Tarihi
2018-10-31
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In this study, a literature review is conducted considering big data and social media in the light of disaster management and specifically disaster relief.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Most of the disaster management activities are naturally related to traditional operation research and management science applications.
📊
Temel Bulgular & Veri:Relevant information taken from social media and the intelligent web has increased the situational awareness of decision makers.
💡
Sonuç & Katkı:In this study, a literature review is conducted considering big data and social media in the light of disaster management and specifically disaster relief.
🔬Tür:Literatür & Derleme Çalışması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Big data · disaster management · disaster relief

Özet

Most of the disaster management activities are naturally related to traditional operation research and management science applications. But recently, big data information technology and social media in particular has become an integral part of disaster management. Relevant information taken from social media and the intelligent web has increased the situational awareness of decision makers. Disaster management decisions have important impacts on; the safety of disaster victims, environment, economic systems, organizations etc. Reliable, timely, consistent, sufficient and qualified information is critical in the phases of disaster management. In this study, a literature review is conducted considering big data and social media in the light of disaster management and specifically disaster relief.

Abstract

Most of the disaster management activities are naturally related to traditional operation research and management science applications. But recently, big data information technology and social media in particular has become an integral part of disaster management. Relevant information taken from social media and the intelligent web has increased the situational awareness of decision makers. Disaster management decisions have important impacts on; the safety of disaster victims, environment, economic systems, organizations etc. Reliable, timely, consistent, sufficient and qualified information is critical in the phases of disaster management. In this study, a literature review is conducted considering big data and social media in the light of disaster management and specifically disaster relief.

🔖

Bu Makaleye Atıf Yap

DERELİ, T., ÇELİK, N., ÇETİNKAYA, C. (2018). A Literature Review on Big Data and Social Media Usage in Disaster Management. Afet ve Risk Dergisi, Cilt: 1 - Sayı: 2, 114–125. https://ajindex.com/articles/75408

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (11)

  1. Acerbo, F., & Rossi, C. (2017). Filtering Informative Tweets during Emergencies:A Machine Learning Approach. Proceedings of the First CoNEXT Workshop on ICT Tools for Emergency Networks and DisastEr Relief, (pp. 1-6).
  2. Incheon, Republic of Korea. Alshareef, H., & Grigoras, D. (2016). Using social media and the mobile cloud to enhance emergency and risk management. 15 th International Symposium on Parallel and Distributed Computing, (pp. 92-99).
  3. Fuzhou, China. Ancheta, J., Sy, C., Maceda, L., Oco, N., & Roxas, R. (2017). Computer-assisted thematic analysis of Typhoon. Proc. of the 2017 IEEE Region 10 Conference (TENCON), (pp. 723-726).
  4. Malaysia. Basu, M., Ghosh, K., Das, S., Dey, R., Bandyopadhyay, S., & Ghosh, S. (2017). Identifying Post-Disaster Resource Needs and Availabilities from Microblogs. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, (pp. 427-430).
  5. Sydney, Australia. Caragea, C., McNeese, N., Jaiswal, A., Tarylor, G., & Mitra, P. (2011). Classifying Text Messages for the Haiti Earthquake. 8th International ISCRAM Conference, (pp. 1-10). Lisbon,Portugal. Cherichi, S., & Larodec, R. (2016). Using Big Data Values to Enhance Social Event Detection Pattern. Computer Systems and Applications (AICCSA), 2016 IEEE/ACS 13th International Conference of. Morocco. Galindo, G., & Batta, R. (2013). Review of recent developments in OR/MS research in disaster operations management. European Journal of Operational Research, 201-211.
  6. Gupta, S., Altay, N., & Luo, Z. (2017). Big Data in Humanitarian Supply Chain Management: a Review and Further Research Directions. Ann Oper Res. IFRC. (2018, May). Retrieved from International Federation of Red Cross and Red Crescent Societies: http://www.ifrc.org/en/what-we-do/disaster-management/about-disasters/what-is-a-disaster/
  7. Lai, C. (2016). A study of emergent organizing and technological affordances after a natural disaster. Organizing and technological affordances, 507-523.
  8. Landwehr, P., Wei, W., Kovalchuck, M., & Carley, K. (2016). Using Tweets to Support Disaster Planning, Warning and Response. Safety Science, 33-47.
  9. Laylavi, F., & Rajabifard, A. K. (2017). Event relatedness assessment of Twitter messages for emergency response. Information Processing and Management, 266-280.
  10. Li, X., Wang, Z., Gao, C., & Shi, L. (2017). Reasoning human emotional responses from large-scale social and public media. Applied Mathematics and Computation, 182-193.
  11. Monaghan, A., & Lycett, M. (2013). Big Data