Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94786
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorHou, Yen_US
dc.creatorMoogoor, Aen_US
dc.creatorDieterich, Aen_US
dc.creatorSong, Sen_US
dc.creatorYuen, Ben_US
dc.date.accessioned2022-08-30T07:30:52Z-
dc.date.available2022-08-30T07:30:52Z-
dc.identifier.issn1361-9209en_US
dc.identifier.urihttp://hdl.handle.net/10397/94786-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Hou, Y., Moogoor, A., Dieterich, A., Song, S., & Yuen, B. (2021). Exploring built environment correlates of older adults’ walking travel from lifelogging images. Transportation research part D: transport and environment, 96, 102850 is available at https://doi.org/10.1016/j.trd.2021.102850.en_US
dc.subjectBuilt environmenten_US
dc.subjectOlder adultsen_US
dc.subjectSingaporeen_US
dc.subjectVisual lifeloggingen_US
dc.subjectWalking travelen_US
dc.titleExploring built environment correlates of older adults’ walking travel from lifelogging imagesen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationTitle on author’s file: Exploring built environment correlates of older adults’ walking travel in real-time from lifelogging images: A pilot study of three neighbourhoods in Singaporeen_US
dc.identifier.volume96en_US
dc.identifier.doi10.1016/j.trd.2021.102850en_US
dcterms.abstractUtilising time-stamped lifelogging images collected from a sample of 30 older adults in three neighbourhoods of Singapore, this study explores older adults’ daily walking travel patterns and their associations with neighbourhood-level built environment features. The visual lifelogging method uses a wearable camera to automatically record individual activities from a “first-person” perspective and capture novel information of environmental features encountered by individuals in real time. The findings reveal that older participants in the study areas, on average, take about 4 walking trips per day with an average trip length of about 15 minutes. Neighbourhood facilities including public open spaces, senior activity centres, and food courts are the most visited destinations while urban design features such as covered walkways, tree shades and street furniture are frequently encountered during walking trips.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part D, Transport and environment, July 2021, v. 96, 102850en_US
dcterms.isPartOfTransportation research. Part D, Transport and environmenten_US
dcterms.issued2021-07-
dc.identifier.scopus2-s2.0-85108978234-
dc.identifier.artn102850en_US
dc.description.validate202208 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1413, BRE-0069-
dc.identifier.SubFormID44896-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextSingapore’s Ministry of National Development and National Research Foundation under the Land and Liveability National Innovation Challenge Funding Programmeen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS53863352-
dc.description.oaCategoryGreen (AAM)en_US
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