Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/34774
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | LIU, Feng | - |
dc.contributor.author | Gao, ZY | - |
dc.contributor.author | JANSSENS, Davy | - |
dc.contributor.author | WETS, Geert | - |
dc.contributor.author | Jia, B | - |
dc.contributor.author | Yang, Y | - |
dc.date.accessioned | 2021-09-02T08:19:48Z | - |
dc.date.available | 2021-09-02T08:19:48Z | - |
dc.date.issued | 2021 | - |
dc.date.submitted | 2021-08-30T14:14:39Z | - |
dc.identifier.citation | Transportation research. Part C, Emerging technologies, 128 , Art. N° 103136 | - |
dc.identifier.uri | http://hdl.handle.net/1942/34774 | - |
dc.description.abstract | As employers, suppliers, and transport providers, organisations generate a large portion of traffic flows on transport networks. However, despite the significance of business travel to overall mobility, the underlying activity compositions of the movement and decision-making processes within organisations are not well understood. In this study, a new method is developed based on GPS data to identify typical business activity-travel patterns and characteUsing GPS data collected from the real operation of 6,500 commercial vehicles over a period of three months, the proposed method was tested. In total, five profiles were constructed, accommodating activity-travel patterns associated with vans, cars, trucks-35 t (light trucks), trucks-3ax (medium trucks), and buses. Similarities and differences in these profiles across vehicle types were revealed, and specific locations corresponding to the activities of the patterns were further examined. Moreover, using these profiles as a reference, the travel practice of a specific vehicle was evaluated. The experimental results demonstrate the potential and effectiveness of the approach in depicting business travel patterns, providing a deep understanding of business travel behaviour, and assisting the design and evaluation of policies for more sustainable business transport. | - |
dc.language.iso | en | - |
dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
dc.rights | © 2021 Elsevier Ltd. All rights reserved | - |
dc.subject.other | GPS data | - |
dc.subject.other | Activity-travel patterns | - |
dc.subject.other | Business travel behaviour | - |
dc.subject.other | Sequential Pattern Mining | - |
dc.subject.other | Sequence Alignment Methods | - |
dc.title | Identifying business activity-travel patterns based on GPS data | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 128 | - |
local.bibliographicCitation.jcat | A1 | - |
local.publisher.place | THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 103136 | - |
dc.identifier.doi | 10.1016/j.trc.2021.103136 | - |
dc.identifier.isi | 000662797300008 | - |
dc.identifier.eissn | - | |
local.provider.type | Web of Science | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | yes | - |
item.contributor | LIU, Feng | - |
item.contributor | Gao, ZY | - |
item.contributor | JANSSENS, Davy | - |
item.contributor | WETS, Geert | - |
item.contributor | Jia, B | - |
item.contributor | Yang, Y | - |
item.validation | ecoom 2022 | - |
item.fullcitation | LIU, Feng; Gao, ZY; JANSSENS, Davy; WETS, Geert; Jia, B & Yang, Y (2021) Identifying business activity-travel patterns based on GPS data. In: Transportation research. Part C, Emerging technologies, 128 , Art. N° 103136. | - |
item.accessRights | Restricted Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 0968-090X | - |
crisitem.journal.eissn | 1879-2359 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s20-S0968090X21001558-main.pdf Restricted Access | Published version | 5.17 MB | Adobe PDF | View/Open Request a copy |
WEB OF SCIENCETM
Citations
5
checked on Apr 22, 2024
Page view(s)
56
checked on Jul 15, 2022
Download(s)
6
checked on Jul 15, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.