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contributor authorDaniel Eckhardt
contributor authorAdriana Leiras
contributor authorAntônio Márcio Tavares Thomé
date accessioned2022-05-07T20:14:49Z
date available2022-05-07T20:14:49Z
date issued2021-12-02
identifier other(ASCE)NH.1527-6996.0000539.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282170
description abstractWe propose the usage of social media as the primary way to collect and consolidate disaster data to provide a less costly and faster economic evaluation process. Through a systematic literature review (SLR) of over 406 peer-reviewed papers, this study first offers a taxonomy to show how social media can be applied to economic disaster assessments. Then we deliver an economic assessment to a flooding disaster in Brazil based on text mining of Twitter messages. Finally, we compare our findings with the Brazilian local government’s assessment and the literature. The results prove the feasibility of delivering a multisector disaster economic evaluation report based entirely on social media. The comparison analysis shows that social media is a valuable tool for the design and implementation of public policies, allowing the traceability of the collected information, the identification of unaccounted costs, and inquiries into the amounts and costs estimated by the local government.
publisherASCE
titleUsing Social Media for Economic Disaster Evaluation: A Systematic Literature Review and Real Case Application
typeJournal Paper
journal volume23
journal issue1
journal titleNatural Hazards Review
identifier doi10.1061/(ASCE)NH.1527-6996.0000539
journal fristpage05021020
journal lastpage05021020-13
page13
treeNatural Hazards Review:;2021:;Volume ( 023 ):;issue: 001
contenttypeFulltext


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