<div class="csl-bib-body">
<div class="csl-entry">Lee, M., Jeon, I., & Jun, C. (2019). Time-distance Accessibility of Public Transport considering In-vehicle Crowding based on Smart card data. In G. Gartner & H. Huang (Eds.), <i>LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services</i>. Wien. https://doi.org/10.34726/lbs2019.40</div>
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dc.identifier.uri
https://doi.org/10.34726/lbs2019.40
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/679
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dc.description.abstract
In this study, we propose the time-distance accessibility of public transport considering in-vehicle crowding. It is an indicator that measures how easy to reach other areas by travel times. The time-distance includes not only general factors such as in-vehicle time, out-of-vehicle time, and transfer penalties but also feelings of exhaustion due to in-vehicle crowding level. The crowding was computed by smart card data. We analyzed the accessibility of public transport in the Seoul city by using the proposed index.
en
dc.language
English
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dc.language.iso
en
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dc.publisher
Wien
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Public transport
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dc.subject
Accessibility
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dc.subject
Time-distance
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dc.subject
Smart card
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dc.subject
Crowding
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dc.title
Time-distance Accessibility of Public Transport considering In-vehicle Crowding based on Smart card data
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.identifier.doi
10.34726/lbs2019.40
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dc.rights.holder
The Author(s)
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
LBS 2019 : Adjunct Proceedings of the 15th International Conference on Location-Based Services
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tuw.version
vor
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dc.identifier.libraryid
AC15512993
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dc.description.numberOfPages
6
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-7067
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.editor.orcid
0000-0003-2002-5339
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tuw.event.name
15th International Conference on Location-Based Services