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Published VersionCC BY V4.0, Open Access
Journal article
Detecting Natural Hazard-Related Disaster Impacts with Social Media Analytics: The Case of Australian States and Territories
Sustainability, Vol.14(2), pp.1-23
2022
Abstract
Natural hazard-related disasters are disruptive events with significant impact on people, communities, buildings, infrastructure, animals, agriculture, and environmental assets. The exponentially increasing anthropogenic activities on the planet have aggregated the climate change and consequently increased the frequency and severity of these natural hazard-related disasters, and consequential damages in cities. The digital technological advancements, such as monitoring systems based on fusion of sensors and machine learning, in early detection, warning and disaster response systems are being implemented as part of the disaster management practice in many countries and presented useful results. Along with these promising technologies, crowdsourced social media disaster big data analytics has also started to be utilized. This study aims to form an understanding of how social media analytics can be utilized to assist government authorities in estimating the damages linked to natural hazard-related disaster impacts on urban centers in the age of climate change. To this end, this study analyzes crowdsourced disaster big data from Twitter users in the testbed case study of Australian states and territories. The methodological approach of this study employs the social media analytics method and conducts sentiment and content analyses of location-based Twitter messages (n = 131,673) from Australia. The study informs authorities on an innovative way to analyze the geographic distribution, occurrence frequency of various disasters and their damages based on the geo-tweets analysis.
Details
- Title
- Detecting Natural Hazard-Related Disaster Impacts with Social Media Analytics: The Case of Australian States and Territories
- Authors
- Tan Yigitcanlar (Corresponding Author) - Queensland University of TechnologyMassimo Regona - Queensland University of TechnologyNayomi Kankanamge - University of MoratuwaRashid Mehmood - King Abdulaziz UniversityJustin D'Costa - Queensland University of TechnologySamuel Lindsay - Queensland University of TechnologyScott Nelson - Queensland University of TechnologyAdiam Brhane - Queensland University of Technology
- Publication details
- Sustainability, Vol.14(2), pp.1-23
- Publisher
- MDPI AG
- Date published
- 2022
- DOI
- 10.3390/su14020810
- ISSN
- 2071-1050
- Copyright note
- © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
- Data Availability
- The data for this study are obtained from QUT Digital Observatory, https://www.qut.edu.au/institute-for-future-environments/facilities/digital-observatory/digital-observatory-databank. An ethical approval was obtained from Queensland University of Technology’s Human Research Ethics Committee (#1900000214) to access and analyze the data. This dataset is not openly available from QUT Digital Observatory; however, the data can be obtained using Twitter API see https://developer.twitter.com/en/products/twitter-api.
- Organisation Unit
- School of Law and Society
- Language
- English
- Record Identifier
- 991068410202621
- Output Type
- Journal article
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- Environmental Sciences
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