<div class="csl-bib-body">
<div class="csl-entry">Stähli, L., Giannopoulos, I., & Raubal, M. (2021). Evaluation of pedestrian navigation in Smart Cities. <i>Environment and Planning B: Urban Analytics and City Science</i>, <i>48</i>(6), 1728–1745. https://doi.org/10.1177/2399808320949538</div>
</div>
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dc.identifier.issn
2399-8083
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/137249
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dc.description.abstract
This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display navigation. The results of the experiment with 45 participants conducted in a virtual environment suggest that the augmented reality navigation performs best concerning efficiency and effectiveness and the landmark-based navigation performs worst in the context of Smart Cities.
de
dc.description.abstract
This work addresses recent research in the area of pedestrian navigation aids that aims at finding alternatives to the widely used map-based turn-by-turn navigation systems in the context of Smart City environments. Four different approaches of pedestrian navigation systems were compared to each other in a user experiment that was conducted in a virtual environment: (1) map-based, (2) landmark-based, (3) augmented reality, and (4) public display navigation. The results of the experiment with 45 participants conducted in a virtual environment suggest that the augmented reality navigation performs best concerning efficiency and effectiveness and the landmark-based navigation performs worst in the context of Smart Cities.
en
dc.relation.ispartof
Environment and Planning B: Urban Analytics and City Science
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dc.subject
Architecture
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dc.subject
Urban Studies
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dc.subject
Smart City
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dc.subject
Augmented Reality
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dc.subject
Pedestrian navigation
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dc.subject
Landmarks
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dc.subject
Management, Monitoring, Policy and Law
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dc.subject
Geography, Planning and Development
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dc.subject
Public Display
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dc.subject
Virtual Environment
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dc.subject
Nature and Landscape Conservation
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dc.title
Evaluation of pedestrian navigation in Smart Cities
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dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
1728
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dc.description.endpage
1745
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dc.type.category
Original Research Article
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tuw.container.volume
48
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tuw.container.issue
6
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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wb.publication.intCoWork
International Co-publication
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tuw.researchTopic.id
X1
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tuw.researchTopic.name
außerhalb der gesamtuniversitären Forschungsschwerpunkte
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
Environment and Planning B: Urban Analytics and City Science