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@ARTICLE{Lee:904535,
author = {Lee, Ji-Hye and Goh, Segun and Kim, Jong Won and Lee,
Keumsook and Choi, M. Y.},
title = {{S}patiotemporal behaviors of the ridership of a public
transportation system during an epidemic outbreak: case of
{MERS} in {S}eoul},
journal = {Journal of the Korean Physical Society},
volume = {79},
number = {11},
issn = {0374-4884},
address = {Heidelberg},
publisher = {Springer},
reportid = {FZJ-2021-06105},
pages = {1069 - 1077},
year = {2021},
abstract = {During May and June 2015, an outbreak of the Middle East
respiratory syndrome (MERS) occurred in Korea, which raised
the fear of contagion throughout society and suppressed the
use of public transportation systems. Exploring daily
ridership data of the Seoul bus transportation system, along
with the number of infected patients and search volume in
web portals, we observe that ridership decreased abruptly
while attention was heavily focused online. Then this
temporal reduction recovered exponentially with a
characteristic time of 3 weeks when newly confirmed cases
began to decrease. We also find with the data of ranked
keywords of web portals that areas with severely reduced
ridership tended to cluster and spatiotemporal variations of
such clusters were highly associated with general hospitals
where MERS patients were treated. On the other hand, the
spatial reduction in ridership relaxed algebraically with
the distance from a general hospital while the outbreak was
severe. We further probe the influence of the epidemic
outbreak in the framework of linear response theory, which
relates the responses to the epidemic outbreak
(“perturbation”) with correlations in the absence of the
perturbation. Indeed, the spatial correlation function of
the ridership changes is observed to follow a power law,
sharing the same exponent as the spatial relaxation of the
response function. This new theoretical approach offers a
useful tool for understanding responses of public
transportation system to epidemic or accidental disasters.},
cin = {IBI-5 / IAS-2},
ddc = {530},
cid = {I:(DE-Juel1)IBI-5-20200312 / I:(DE-Juel1)IAS-2-20090406},
pnm = {5243 - Information Processing in Distributed Systems
(POF4-524)},
pid = {G:(DE-HGF)POF4-5243},
typ = {PUB:(DE-HGF)16},
pubmed = {34720363},
UT = {WOS:000710880300004},
doi = {10.1007/s40042-021-00303-y},
url = {https://juser.fz-juelich.de/record/904535},
}