Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorDemsar, Urska
dc.contributor.authorReades, Jonathan
dc.contributor.authorManley, Ed
dc.contributor.authorBatty, Michael
dc.date.accessioned2017-11-29T13:30:08Z
dc.date.available2017-11-29T13:30:08Z
dc.date.issued2018-03
dc.identifier.citationDemsar , U , Reades , J , Manley , E & Batty , M 2018 , ' Revisiting the past : replicating fifty-year-old flow analysis using contemporary taxi flow data ' , Annals of the American Association of Geographers , vol. 108 , no. 3 , pp. 811-828 . https://doi.org/10.1080/24694452.2017.1374164en
dc.identifier.issn2469-4452
dc.identifier.otherPURE: 250534717
dc.identifier.otherPURE UUID: d0417435-9e39-4650-9750-dcd9c46b2e41
dc.identifier.otherScopus: 85035108540
dc.identifier.otherORCID: /0000-0001-7791-2807/work/48516848
dc.identifier.otherWOS: 000428672900012
dc.identifier.urihttps://hdl.handle.net/10023/12190
dc.descriptionJR wishes to acknowledge the support of the EPSRC (Grant # EP/I018433/1). JR, UD and MB were supported by the European Commission grant COSMIC: Complexity in Spatial Dynamics (Complexity-NET/FP6 ERANET) during the early stages of this work. MB further wishes to thank the European Research Council for support under 249393-ERC-2009-AdG.en
dc.description.abstractOver sixty years ago, geography began its so-called quantitative revolution, where for the first time statistical methods were used to explain the spatial nature of geographic phenomena. Computers made some of this possible, but their limited power did not allow for more than relatively small analytic explorations and consequently many of these earlier ideas are now buried in the mists of time. Here we attempt to replicate one of these early analyses using taxi flow data collected in 1962 and originally used by Goddard (1970 Goddard, J. B. 1970. Functional regions within the city centre: A study by factor analysis of taxi flows in Central London. Transactions of the Institute of British Geographers 49:161–82; then at the London School of Economics) to extract functional regions within London's city center. Our experiment attempts to replicate Goddard's methodology on a modern taxi flow data set, acquired through Global Positioning System tracking. We initially expected that our analysis would be directly comparable with Goddard's, potentially providing insights into temporal change in the spatial structure of the city core. Attempts at replicating the original analysis have proved enormously difficult, however, for several reasons, including the many subjective choices made by the researcher in articulating and using the original method and the specific characteristics of contemporary taxi flow data. We therefore opt to replicate Goddard's approach as closely and as logically as possible and to fill in gaps based on statistically informed choices. We have also run the analysis on two spatial scales—Central London and a wider area—to explore how scales of analyses that were beyond the capacities of Goddard's early computations also help to shape our understanding of the results he obtained.
dc.format.extent19
dc.language.isoeng
dc.relation.ispartofAnnals of the American Association of Geographersen
dc.rights© 2018 The Author(s). Published with license by Taylor & Francis © Urška Demšar, Jonathan Reades, Ed Manley, and Michael Batty. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.subjectComparative Spatial Analysisen
dc.subjectReplicationen
dc.subjectQuantitative Method Developmenten
dc.subjectPrincipal Components Analysis (PCA)en
dc.subjectMovement Analyticsen
dc.subjectGF Human ecology. Anthropogeographyen
dc.subjectG Geography (General)en
dc.subjectNDASen
dc.subjectBDCen
dc.subjectR2Cen
dc.subject.lccGFen
dc.subject.lccG1en
dc.titleRevisiting the past : replicating fifty-year-old flow analysis using contemporary taxi flow dataen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.identifier.doihttps://doi.org/10.1080/24694452.2017.1374164
dc.description.statusPeer revieweden
dc.date.embargoedUntil2017-11-27


This item appears in the following Collection(s)

Show simple item record