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A Population-Density Approach to Regional Spatial Structure

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  • John B. Parr

    (Department of Social and Economic Research, University of Glasgow)

Abstract

The concept of the population-density function, which is usually applied within the context of an urban area, is extended to the scale of a metropolitan-area-based region or city region. A form for such a regional density function is proposed, and this is examined for selected regions of the UK and North America. It is demonstrated how such a region-wide density function may be related to other density functions which have been used to characterise the structures of the metropolitan and non-metropolitan parts of the region. Consideration is also given to problems associated with constructing and interpreting the regional density function and to its underlying theoretical basis. Finally, the application of the density-function approach in the analysis of regional structure is briefly discussed.

Suggested Citation

  • John B. Parr, 1985. "A Population-Density Approach to Regional Spatial Structure," Urban Studies, Urban Studies Journal Limited, vol. 22(4), pages 289-303, August.
    • Handle: RePEc:sae:urbstu:v:22:y:1985:i:4:p:289-303
    DOI: 10.1080/00420988520080531
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    References listed on IDEAS

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    3. Alan W. Evans, 1973. "The Economics of Residential Location," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-01889-5, September.
    4. Allen K. Philbrick, 1957. "Areal Functional Organization In Regional Geography," Papers in Regional Science, Wiley Blackwell, vol. 3(1), pages 87-98, January.
    5. Hans Blumenfeld, 1950. "The Dominance of the Metropolis," Land Economics, University of Wisconsin Press, vol. 26(2), pages 194-196.
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    Cited by:

    1. Bluhm, Richard & Krause, Melanie, 2022. "Top lights: Bright cities and their contribution to economic development," Journal of Development Economics, Elsevier, vol. 157(C).
    2. Ilenia Epifani & Rosella Nicolini, 2013. "On The Population Density Distribution Across Space: A Probabilistic Approach," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 481-510, August.
    3. Ilenia Epifani & Rosella Nicolini, 2017. "Modelling population density over time: how spatial distance matters," Regional Studies, Taylor & Francis Journals, vol. 51(4), pages 602-615, April.

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