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http://hdl.handle.net/1942/39584
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DC Field | Value | Language |
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dc.contributor.author | Moncayo-Unda, Milton Giovanny | - |
dc.contributor.author | Van Droogenbroeck, Marc | - |
dc.contributor.author | Saadi, Ismail | - |
dc.contributor.author | COOLS, Mario | - |
dc.date.accessioned | 2023-02-27T10:21:56Z | - |
dc.date.available | 2023-02-27T10:21:56Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2023-02-23T15:08:13Z | - |
dc.identifier.citation | Data in brief, 45 (Art N° 108776) | - |
dc.identifier.uri | http://hdl.handle.net/1942/39584 | - |
dc.description.abstract | Collecting GPS data using mobile devices is essential to understanding human mobility. However, getting this type of data is tricky because of some specific features of mo-bile operating systems, the high-power consumption of mo-bile devices, and users' privacy concerns. Therefore, data of this kind are rarely publicly available for scientific purposes, while private companies that own the data are often reluc-tant to share it. Here we present a large anonymous lon-gitudinal dataset of Activity Point Location (APL) generated from mobile devices' GPS tracking. The GPS data were col-lected by using the Google Location History (GLH), accessible in the Google Maps application. Our dataset, named AnLo-COV hereafter, includes anonymised data from 338 persons with corresponding socio-demographics over approximately ten years (2012-2022), thus covering pre-and post-COVID periods, and calculates over 2 million weekly-classified APL extracted from approximately 16 million GPS tracking points in Ecuador. Furthermore, we made our models publicly avail-able to enable advanced analysis of human mobility and ac-tivity spaces based on the collected datasets.(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ) | - |
dc.description.sponsorship | We are grateful to all the people who agreed to provide their Google Location History file to build the AnLoCOV dataset. The authors also thank the Académie de Recherche et d’Enseignement Supérieur (ARES), the Central University of Ecuador, and the University of Liège for their financial support and for hosting this research project. The research also was funded through the Special Fund for Research “MIRS”, financed by the Wallonia-Brussels Federation. | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.rights | 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) | - |
dc.subject.other | Google location history (GLH) | - |
dc.subject.other | Activity point location (APL) | - |
dc.subject.other | GPS | - |
dc.subject.other | Timeline tracking | - |
dc.subject.other | Longitudinal data | - |
dc.title | An anonymised longitudinal GPS location dataset to understand changes in activity-travel behaviour between pre- and post-COVID periods | - |
dc.type | Journal Contribution | - |
dc.identifier.volume | 45 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Moncayo-Unda, MG (corresponding author), Cent Univ Ecuador, Fac Engn & Appl Sci, Quito 170521, Ecuador.; Moncayo-Unda, MG (corresponding author), Univ Liege, Local Environm Management & Anal LEMA UEE, B-4000 Liege, Belgium. | - |
dc.description.notes | mmoncayo@uce.edu.ec | - |
local.publisher.place | RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 108776 | - |
dc.identifier.doi | 10.1016/j.dib.2022.108776 | - |
dc.identifier.pmid | 36533280 | - |
dc.identifier.isi | 000912975900003 | - |
dc.contributor.orcid | Moncayo Unda, Milton Giovanny/0000-0002-1517-7322; Van Droogenbroeck, | - |
dc.contributor.orcid | Marc/0000-0001-6260-6487; Saadi, Ismail/0000-0002-3569-1003 | - |
dc.identifier.eissn | - | |
local.provider.type | wosris | - |
local.description.affiliation | [Moncayo-Unda, Milton Giovanny] Cent Univ Ecuador, Fac Engn & Appl Sci, Quito 170521, Ecuador. | - |
local.description.affiliation | [Moncayo-Unda, Milton Giovanny; Saadi, Ismail; Cools, Mario] Univ Liege, Local Environm Management & Anal LEMA UEE, B-4000 Liege, Belgium. | - |
local.description.affiliation | [Van Droogenbroeck, Marc] Univ Liege, Montefiore Inst Elect Engn & Comp Sci, B-4000 Liege, Belgium. | - |
local.description.affiliation | [Saadi, Ismail] Univ Gustave Eiffel, IFSTTAR, COSYS GRETTIA, F-77420 Marne la Vallee, France. | - |
local.description.affiliation | [Cools, Mario] KULeuven Campus Brussels, Dept Informat Management Simulat & Modeling, B-1000 Brussels, Belgium. | - |
local.description.affiliation | [Cools, Mario] Hasselt Univ, Fac Business Econ, B-3500 Hasselt, Belgium. | - |
local.dataset.doi | 10.17632/vk77k9gvg3.2 | - |
local.uhasselt.international | yes | - |
item.fullcitation | Moncayo-Unda, Milton Giovanny; Van Droogenbroeck, Marc; Saadi, Ismail & COOLS, Mario (2022) An anonymised longitudinal GPS location dataset to understand changes in activity-travel behaviour between pre- and post-COVID periods. In: Data in brief, 45 (Art N° 108776). | - |
item.fulltext | With Fulltext | - |
item.validation | vabb 2024 | - |
item.contributor | Moncayo-Unda, Milton Giovanny | - |
item.contributor | Van Droogenbroeck, Marc | - |
item.contributor | Saadi, Ismail | - |
item.contributor | COOLS, Mario | - |
item.accessRights | Open Access | - |
crisitem.journal.issn | 2352-3409 | - |
crisitem.journal.eissn | 2352-3409 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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An anonymised longitudinal GPS location dataset to understand changes in activity-travel behaviour between pre- and post-COVID periods.pdf | Published version | 1.31 MB | Adobe PDF | View/Open |
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