Skip to content

Research at St Andrews

Revisiting the past: replicating fifty-year-old flow analysis using contemporary taxi flow data

Research output: Contribution to journalArticle

Author(s)

Urska Demsar, Jonathan Reades, Ed Manley, Michael Batty

School/Research organisations

Abstract

Over 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.
Close

Details

Original languageEnglish
Pages (from-to)811-828
Number of pages19
JournalAnnals of the American Association of Geographers
Volume108
Issue number3
Early online date27 Nov 2017
DOIs
Publication statusPublished - 2018

    Research areas

  • Comparative Spatial Analysis, Replication, Quantitative Method Development, Principal Components Analysis (PCA), Movement Analytics

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. A systematic review of methods for studying the impacts of outdoor recreation on terrestrial wildlife

    Marion, S., Davies, A., Demsar, U., Irvine, J., Stephens, P. & Long, J., 14 Jan 2020, In : Global Ecology and Conservation. 22, e00917.

    Research output: Contribution to journalReview article

  2. Designing geovisual analytics environments and displays with humans in mind

    Çöltekin, A., Christophe, S., Robinson, A. & Demšar, U., 11 Dec 2019, In : ISPRS International Journal of Geo-Information. 8, 12, 6 p., 572.

    Research output: Contribution to journalEditorial

  3. Optimizing the use of biologgers for movement ecology research

    Williams, H., Taylor, L., Benhamou, S., Bijleveld, A., Clay, T., de Grissac, S., Demsar, U., English, H., Franconi, N., Gómez-Laich, A., Griffiths, R., Kay, W., Morales, J. M., Potts, J., Rogerson, K., Rutz, C., Spelt, A., Trevail, A., Wilson, R. & Börger, L., 1 Oct 2019, In : Journal of Animal Ecology. Early View

    Research output: Contribution to journalArticle

  4. Potential path volume (PPV): a geometric estimator for space use in 3D

    Demšar, U. & Long, J. A., 29 Apr 2019, In : Movement Ecology. 7, 14 p., 14.

    Research output: Contribution to journalArticle

  5. Introduction to the special section on Visual Movement Analytics

    Demšar, U., Slingsby, A. & Weibel, R., 8 Nov 2018, In : Information Visualization. Online First, 5 p.

    Research output: Contribution to journalEditorial

Related by journal

  1. Multiscale measures of population: within- and between-city variation in exposure to the sociospatial context

    Petrović, A., van Ham, M. & Manley, D., 29 Jan 2018, In : Annals of the American Association of Geographers. 108, 4, p. 1057-1074 18 p.

    Research output: Contribution to journalArticle

  2. Encountering misrecognition: being mistaken for being Muslim

    Hopkins, P., Botterill, K., Sanghera, G. & Arshad, R., 2017, In : Annals of the American Association of Geographers. 107, 4, p. 934-948

    Research output: Contribution to journalArticle

ID: 250534717

Top