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Using circular statistics to explore the geography of the journey to work

Author

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  • Jonathan Corcoran
  • Prem Chhetri
  • Robert Stimson

Abstract

This article introduces the application of circular statistics to an analysis of ‘journey to work’ (JTW) data for the South East Queensland (SEQ) region in Australia. The JTW data include the total number of journeys between an origin (home) and destination zone (work) across SEQ. Using bespoke tools developed in a GIS environment the direction and frequency of each journey is first calculated. Using the outputs from this process, two descriptive measures – namely the circular mean and circular variance – are then computed and the results presented. Analysis of the mapped outputs shows strong JTW patterns that are readily detectable and visualised using a combination of GIS and circular statistics. Resumen Este artículo presenta la aplicación de estadísticos circulares a un análisis de datos de ‘desplazamiento al trabajo' (DAT) para la región de Queensland Sur Oriental en Australia. Los datos de DAT incluyen el número total de desplazamientos entre un origen (domicilio) y la zona de destino (trabajo) de todo QSO. La dirección y frecuencia de cada desplazamiento se calcula en primer lugar, utilizando herramientas a medida desarrolladas en un ambiente SIG. Utilizando los resultados de este proceso, se calculan a continuación dos medidas descriptivas – la media circular y la varianza circular – y se presentan los resultados. El análisis de los resultados plasmados en un mapa muestra fuertes patrones de DAT que son fácilmente detectables y visibles utilizando la combinación de SIG y estadísticos circulares.

Suggested Citation

  • Jonathan Corcoran & Prem Chhetri & Robert Stimson, 2009. "Using circular statistics to explore the geography of the journey to work," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 119-132, March.
    • Handle: RePEc:bla:presci:v:88:y:2009:i:1:p:119-132
    DOI: 10.1111/j.1435-5957.2008.00164.x
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    References listed on IDEAS

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    1. Gera, Surendra & Kuhn, Peter, 1981. "Occupation and the journey-to-work: Some further analysis," Socio-Economic Planning Sciences, Elsevier, vol. 15(2), pages 83-93.
    2. David Levinson, 1998. "Accessibility and the Journey to Work," Working Papers 199802, University of Minnesota: Nexus Research Group.
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    Cited by:

    1. Dewulf, Bart & Neutens, Tijs & Vanlommel, Mario & Logghe, Steven & De Maeyer, Philippe & Witlox, Frank & De Weerdt, Yves & Van de Weghe, Nico, 2015. "Examining commuting patterns using Floating Car Data and circular statistics: Exploring the use of new methods and visualizations to study travel times," Journal of Transport Geography, Elsevier, vol. 48(C), pages 41-51.
    2. Günter Wallner & Simone Kriglstein & Edward Chung & Syeed Anta Kashfi, 2018. "Visualisation of trip chaining behaviour and mode choice using household travel survey data," Public Transport, Springer, vol. 10(3), pages 427-453, December.
    3. María-Eugenia Polo & Mar Pozo & Elia Quirós, 2018. "Circular Statistics Applied to the Study of the Solar Radiation Potential of Rooftops in a Medium-Sized City," Energies, MDPI, vol. 11(10), pages 1-16, October.
    4. Alessandra Faggian & Jonathan Corcoran & Philip McCann, 2013. "Modelling geographical graduate job search using circular statistics," Papers in Regional Science, Wiley Blackwell, vol. 92(2), pages 329-343, June.
    5. Jonathan Corcoran & Chris Brunsdon, 2014. "Using circular statistics to analyse spatial flow and temporal data," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 20, pages 436-458, Edward Elgar Publishing.

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