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@ARTICLE{Ezaki:818075,
author = {Ezaki, Takahiro and Ohtsuka, Kazumichi and Chraibi, Mohcine
and Boltes, Maik and Yanagisawa, Daichi and Seyfried, Armin
and Schadschneider, Andreas and Nishinari, Katsuhiro},
title = {{I}nflow {P}rocess of {P}edestrians to a {C}onfined
{S}pace},
journal = {Collective dynamics},
volume = {1},
issn = {2366-8539},
address = {Köln},
publisher = {Institut für Theoretische Physik},
reportid = {FZJ-2016-04609},
pages = {A4},
year = {2016},
abstract = {To better design safe and comfortable urban spaces,
understanding the nature of human crowd movement is
important. However, precise interactions among pedestrians
are difficult to measure in the presence of their complex
decision-making processes and many related factors. While
extensive studies on pedestrian flow through bottlenecks and
corridors have been conducted, the dominant mode of
interaction in these scenarios may not be relevant in
different scenarios. Here, we attempt to decipher the
factors that affect human reactions to other individuals
from a different perspective. We conducted experiments
employing the inflow process in which pedestrians
successively enter a confined area (like an elevator) and
look for a temporary position. In this process, pedestrians
have a wider range of options regarding their motion than in
the classical scenarios; therefore, other factors might
become relevant. The preference of location is visualized by
pedestrian density profiles obtained from recorded
pedestrian trajectories. Non-trivial patterns of space
acquisition, e.g., an apparent preference for positions near
corners, were observed. This indicates the relevance of
psychological and anticipative factors beyond the private
sphere, which have not been deeply discussed so far in the
literature on pedestrian dynamics. From the results, four
major factors, which we call flow avoidance, distance cost,
angle cost, and boundary preference, were suggested. We
confirmed that a description of decision-making based on
these factors can give a rise to realistic preference
patterns, using a simple mathematical model. Our findings
provide new perspectives and a baseline for considering the
optimization of design and safety in crowded public areas
and public transport carriers.},
cin = {JSC},
ddc = {380},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)16},
doi = {10.17815/CD.2016.4},
url = {https://juser.fz-juelich.de/record/818075},
}