TY - JOUR
T1 - Impact of natural disasters on consumer behavior
T2 - Case of the 2017 El Niño phenomenon in Peru
AU - Alatrista-Salas, Hugo
AU - Gauthier, Vincent
AU - Nunez-Del-Prado, Miguel
AU - Becker, Monique
N1 - Publisher Copyright:
© 2021 Alatrista-Salas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
KW - Cluster Analysis
KW - Consumer Behavior
KW - El Nino-Southern Oscillation
KW - Humans
KW - Peru
KW - Time Factors
UR - http://www.scopus.com/inward/record.url?scp=85100305272&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/d5b26bf6-4ea1-364d-8d16-d3ef7de668fe/
U2 - 10.1371/journal.pone.0244409
DO - 10.1371/journal.pone.0244409
M3 - Article in a journal
C2 - 33507933
AN - SCOPUS:85100305272
SN - 1932-6203
VL - 16
JO - PLoS ONE
JF - PLoS ONE
IS - 1
M1 - e0244409
ER -