IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v11y1979i6p629-641.html

Experimental Analysis of Eleven Models of Urban Population Density

Author

Listed:
  • K Zielinski

    (P.O. Box Open, F.A.O., Rome, Italy)

Abstract

Seven models of the quadratic gamma type (negative-exponential, normal, inverse-power, quadratic negative-exponential, gamma, normal gamma, and quadratic gamma distributions) and the equilibrium models of Amson are tested by use of data from Bristol, Coventry, Derby, Leicester, Nottingham, Leeds, and Bradford. The first five of these cities are tested at two levels: By use of all radial distances and by use of only those less than four kilometres. The object of these tests was to detect differences in goodness of fit at the city centre and overall. The last two cities were used to test a model proposed to describe intercity population distributions.

Suggested Citation

  • K Zielinski, 1979. "Experimental Analysis of Eleven Models of Urban Population Density," Environment and Planning A, , vol. 11(6), pages 629-641, June.
    • Handle: RePEc:sae:envira:v:11:y:1979:i:6:p:629-641
    DOI: 10.1068/a110629
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a110629
    Download Restriction: no
    File URL: https://libkey.io/10.1068/a110629?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Kau, James B. & Lee, Cheng F., 1977. "A random coefficient model to estimate a stochastic density gradient," Regional Science and Urban Economics, Elsevier, vol. 7(1-2), pages 169-177, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rafa Madariaga & Joan Martori & Ramon Oller, 2014. "Income, distance and amenities. An empirical analysis," Empirical Economics, Springer, vol. 47(3), pages 1129-1146, November.
    2. Joan Carles Martori & Rafa Madariaga & Ramon Oller, 2016. "Real estate bubble and urban population density: six Spanish metropolitan areas 2001–2011," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 369-392, March.
    3. Joan Carles Martori & Jordi Suriñach-Caralt, 2001. "Classical models of urban population density. The case of Barcelona Metropolitan Area," ERSA conference papers ersa01p46, European Regional Science Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. John I. Carruthers & Selma Hepp & Gerrit-Jan Knaap & Robert N. Renner, 2012. "The American Way of Land Use," International Regional Science Review, , vol. 35(3), pages 267-302, July.
    2. Yee Leung & Chang-Lin Mei & Wen-Xiu Zhang, 2000. "Testing for Spatial Autocorrelation among the Residuals of the Geographically Weighted Regression," Environment and Planning A, , vol. 32(5), pages 871-890, May.
    3. John I. Carruthers & Selma Lewis & Gerrit‐Jan Knaap & Robert N. Renner, 2010. "Coming undone: A spatial hazard analysis of urban form in American metropolitan areas," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 65-88, March.
    4. K Zielinski, 1980. "The Modelling of Urban Population Density: A Survey," Environment and Planning A, , vol. 12(2), pages 135-154, February.
    5. Joan Carles Martori & Jordi Suriñach-Caralt, 2001. "Classical models of urban population density. The case of Barcelona Metropolitan Area," ERSA conference papers ersa01p46, European Regional Science Association.
    6. Swarnjit S. Arora & Murray Brown, 1977. "Alternative Approaches to Spatial Autocorrelation: An Improvement Over Current Practice," International Regional Science Review, , vol. 2(1), pages 67-78, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:11:y:1979:i:6:p:629-641. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.