In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 1 ( 2021-1-28), p. e0244409-
Abstract:
El Niño is an extreme weather event featuring unusual warming of surface waters in the eastern equatorial Pacific Ocean. This phenomenon is characterized by heavy rains and floods that negatively affect the economic activities of the impacted areas. Understanding how this phenomenon influences consumption behavior at different granularity levels is essential for recommending strategies to normalize the situation. With this aim, we performed a multi-scale analysis of data associated with bank transactions involving credit and debit cards. Our findings can be summarized into two main results: Coarse-grained analysis reveals the presence of the El Niño phenomenon and the recovery time in a given territory, while fine-grained analysis demonstrates a change in individuals’ purchasing patterns and in merchant relevance as a consequence of the climatic event. The results also indicate that society successfully withstood the natural disaster owing to the economic structure built over time. In this study, we present a new method that may be useful for better characterizing future extreme events.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0244409
DOI:
10.1371/journal.pone.0244409.g001
DOI:
10.1371/journal.pone.0244409.g002
DOI:
10.1371/journal.pone.0244409.g003
DOI:
10.1371/journal.pone.0244409.g004
DOI:
10.1371/journal.pone.0244409.g005
DOI:
10.1371/journal.pone.0244409.g006
DOI:
10.1371/journal.pone.0244409.g007
DOI:
10.1371/journal.pone.0244409.g008
DOI:
10.1371/journal.pone.0244409.g009
DOI:
10.1371/journal.pone.0244409.g010
DOI:
10.1371/journal.pone.0244409.g011
DOI:
10.1371/journal.pone.0244409.g012
DOI:
10.1371/journal.pone.0244409.g013
DOI:
10.1371/journal.pone.0244409.g014
DOI:
10.1371/journal.pone.0244409.t001
DOI:
10.1371/journal.pone.0244409.t002
DOI:
10.1371/journal.pone.0244409.s001
DOI:
10.1371/journal.pone.0244409.s002
DOI:
10.1371/journal.pone.0244409.r001
DOI:
10.1371/journal.pone.0244409.r002
DOI:
10.1371/journal.pone.0244409.r003
DOI:
10.1371/journal.pone.0244409.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
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