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@ARTICLE{Andresen:842627,
author = {Andresen, Erik and Chraibi, Mohcine and Seyfried, Armin},
title = {{A} {R}epresentation of {P}artial {S}patial {K}nowledge:
{A} {C}ognitive {M}ap {A}pproach for {E}vacuation
{S}imulations},
journal = {Transportmetrica / A},
volume = {14},
number = {5},
issn = {2324-9943},
address = {Abingdon},
publisher = {Taylor $\&$ Francis},
reportid = {FZJ-2018-00834},
pages = {433 - 467},
year = {2018},
abstract = {Usually, routing models in evacuation simulations assume
that agents have comprehensive and global knowledge about
the building's structure. They neglect the fact that
pedestrians might possess no or only parts of information
about their position relative to final exits and possible
routes leading to them. For the sake of a more realistic
description of the routing process, we introduce the
systematics of using partial spatial knowledge.
Particularly, we present an agent-based approach modeling
the inaccurate mental representation of pedestrians' spatial
knowledge (the cognitive map). In addition, the model
considers further principles and constraints of human
wayfinding. Furthermore, we present results of a field study
we conducted in an office building. The purpose of this
study was to investigate route choices of people in
dependency on their familiarity with the building. Our
modeling approach is then calibrated using the obtained
results. In this context, the distribution of routes which
were used by the subjects are compared with results of the
model.},
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},
UT = {WOS:000427920200005},
doi = {10.1080/23249935.2018.1432717},
url = {https://juser.fz-juelich.de/record/842627},
}