Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore

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dc.contributor.author Chen, Qingqing
dc.contributor.author Chuang, I-Ting
dc.contributor.author Poorthuis, Ate
dc.date.accessioned 2021-10-05T04:11:45Z
dc.date.available 2021-10-05T04:11:45Z
dc.date.issued 2021-11-1
dc.identifier.issn 0198-9715
dc.identifier.uri https://hdl.handle.net/2292/56765
dc.description.abstract Traditional approaches to human mobility analysis in Geography often rely on census or survey data that is resource-intensive to collect and often has a limited spatio-temporal scope. The advent of new technologies (e.g. geosocial media platforms) provides opportunities to overcome these limitations and, if properly leveraged, can yield more granular insights about human mobility. In this paper, we use an anonymized Twitter dataset collected in Singapore from 2012 to 2016 to investigate this potential to help understand the footprints of urban neighbourhoods from both a spatial and a relational perspective. We construct home-to-destination networks of individual users based on their inferred home locations. In aggregated form, these networks allow us to analyze three specific mobility indicators at the neighbourhood level, namely the distance, diversity, and direction of urban interactions. By mapping these three indicators of the spatial footprint of each neighbourhood, we can capture the nuances in the position of individual neighbourhoods within the larger urban network. An exploratory spatial regression reveals that socio-economic characteristics (e.g. share of rental housing) and the built environment (i.e. land use) only partially explain these three indicators and a residual analysis points to the need to explicitly include each neighbourhood's position within the transportation network in future work.
dc.language en
dc.publisher Elsevier BV
dc.relation.ispartofseries Computers Environment and Urban Systems
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.subject 0909 Geomatic Engineering
dc.subject 1205 Urban and Regional Planning
dc.title Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore
dc.type Journal Article
dc.identifier.doi 10.1016/j.compenvurbsys.2021.101708
pubs.begin-page 101708
pubs.volume 90
dc.date.updated 2021-09-09T20:14:48Z
dc.rights.holder Copyright: The author en
pubs.publication-status Accepted
dc.rights.accessrights http://purl.org/eprint/accessRights/RetrictedAccess en
pubs.subtype Journal Article
pubs.elements-id 866001
pubs.number 101708


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