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Technology and disaster relief: The Türkiye-Syria earthquake case study
Linnaeus University, School of Business and Economics, Department of Marketing and Tourism Studies (MTS). Sabancı University, Türkiye.ORCID iD: 0000-0003-2248-0802
2023 (English)In: Innovation - Research and development for human, economic and institutional growth [Working title] / [ed] L. Aldieri, Taufiq Choudhry, London: IntechOpen , 2023Chapter in book (Refereed)
Sustainable development
SDG 3: Ensure healthy lives and promote well-being for all at all ages, SDG 11: Make cities and human settlements inclusive, safe, resilient, and sustainable, SDG 9: Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation
Abstract [en]

This chapter examines how technology has been used in relief efforts following the devastating earthquakes that struck southeast Turkey and northern and western Syria in February 2023. With over 50,000 deaths and 100,000 injuries, the earthquakes presented one of the worst disasters of the century, requiring significant aid and relief efforts. Examples of AI and social media use cases in accelerating and amplifying rescue and humanitarian relief efforts are presented. Emerging technologies like robots, virtual and augmented reality, the Internet of Things (IoT), and blockchain technology have the potential to revolutionize disaster relief work in the years to come. The chapter also explores the potential for new technologies, such as the metaverse, to simulate earthquakes and train people on how to respond to them. The conclusion summarizes the importance of technology in disaster relief efforts and highlights the need to continue investing in, testing, and scaling up technological solutions to ensure better preparedness for future disasters.

Place, publisher, year, edition, pages
London: IntechOpen , 2023.
Series
Business, management and economics
Keywords [en]
Disaster management, Emerging technologies, Relief efforts, Innovation, Kahramanmaraş earthquake, search & rescue.
National Category
Business Administration
Research subject
Economy
Identifiers
URN: urn:nbn:se:lnu:diva-125595DOI: 10.5772/intechopen.111612ISBN: 9781837689972 (print)OAI: oai:DiVA.org:lnu-125595DiVA, id: diva2:1811645
Available from: 2023-11-13 Created: 2023-11-13 Last updated: 2024-10-23Bibliographically approved

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Ozturkcan, Selcen

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Citation style
  • apa
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  • nn-NB
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  • Other locale
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Output format
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