Overview
- Addresses disaster recovery on the basis of data-driven empirical analysis utilizing social media and market data
- Presents research based on an interdisciplinary approach combining e.g. disaster recovery studies, crisis informatics, and economics
- Proposes new socio-economic recovery indicators
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Table of contents (12 chapters)
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Front Matter
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Introduction and Framework
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Front Matter
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Empirical Studies of Socio-Economic Activities After the Great East Japan Earthquake and Tsunami
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Front Matter
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Back Matter
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People as Sensors for Socio-Economic Recovery Activities
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Front Matter
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Back Matter
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A Case Study of Hurricane Sandy
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Front Matter
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Back Matter
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Conclusion
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Front Matter
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Keywords
About this book
This book explores the possibility of using social media data for detecting socio-economic recovery activities. In the last decade, there have been intensive research activities focusing on social media during and after disasters. This approach, which views people’s communication on social media as a sensor for real-time situations, has been widely adopted as the “people as sensor” approach. Furthermore, to improve recovery efforts after large-scale disasters, detecting communities’ real-time recovery situations is essential, since conventional socio-economic recovery indicators, such as governmental statistics, are not published in real time. Thanks to its timeliness, using social media data can fill the gap.
Motivated by this possibility, this book especially focuses on the relationships between people’s communication on Twitter and Facebook pages, and socio-economic recovery activities as reflected in the used-carmarket data and the housing market data in the case of two major disasters: the Great East Japan Earthquake and Tsunami of 2011 and Hurricane Sandy in 2012. The book pursues an interdisciplinary approach, combining e.g. disaster recovery studies, crisis informatics, and economics.
In terms of its contributions, firstly, the book sheds light on the “people as sensors” approach for detecting socio-economic recovery activities, which has not been thoroughly studied to date but has the potential to improve situation awareness during the recovery phase. Secondly, the book proposes new socio-economic recovery indicators: used-car market data and housing market data. Thirdly, in the context of using social media during the recovery phase, the results demonstrate the importance of distinguishing between social media data posted both by people who are at or near disaster-stricken areas and by those who are farther away.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Social Media Communication Data for Recovery
Book Subtitle: Detecting Socio-Economic Activities Following a Disaster
Authors: Yuya Shibuya
DOI: https://doi.org/10.1007/978-981-15-0825-7
Publisher: Springer Singapore
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-0824-0Published: 02 December 2019
Softcover ISBN: 978-981-15-0827-1Published: 02 December 2020
eBook ISBN: 978-981-15-0825-7Published: 23 November 2019
Edition Number: 1
Number of Pages: XIII, 228
Number of Illustrations: 28 b/w illustrations, 28 illustrations in colour
Topics: Big Data/Analytics, Business Information Systems, Econometrics, Big Data, Data Mining and Knowledge Discovery