EconPapers    
Economics at your fingertips  
 

Form Follows Function: Reformulating Urban Population Density Functions

Michael Batty and Kwang Sik Kim
Additional contact information
Michael Batty: National Center for Geographic Information and Analysis, State University of New York at Buffalo, 301F Wilkeson Quad, Buffalo, NY 14261, USA
Kwang Sik Kim: Department of Public Administration, Sung Kyun Kwan University, 53, 3-KA, Myungryun-dong, Chongro-ku, Seoul 110-745, Korea

Urban Studies, 1992, vol. 29, issue 7, 1043-1069

Abstract: In this paper, we argue that the most appropriate form for urban population density models is the inverse power function, contrary to conventional practice, which is largely based upon the negative exponential. We first show that the inverse power function has several theoretical properties which have hitherto gone unremarked in the literature. Our main argument, however, is based on the notion that a density function should describe the extent to which the space available for urban development is filled. To this end, we introduce ideas from urban allometry and fractal geometry to demonstrate that the inverse power model is the only function which embodies the fractal property of self-similarity which we consider to be a basic characteristic of urban form and density. In short, we show that the distance parameter a of the inverse power model is a measure of the extent to which space is filled, and that its value is determined by the basic relation D +α=2 where D is the fractal dimension of the city in question. We then test this model using four data sets which measure the density and morphology of the city of Seoul. Using a variety of estimation methods such as loglinear regression, dimensional approximation and entropy-maximising, we estimate dimension and density parameters for 136 variants of the function and its data sets. From these estimates, 125 are within the values hypothesised and this suggests fairly conclusively that the value of the density parameter a for the inverse power function should be within the range 0-1 and probably between 0.2 and 0.5. Many related questions are raised by this analysis which will form the subject of future research.

Date: 1992
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1080/00420989220081041 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:urbstu:v:29:y:1992:i:7:p:1043-1069

DOI: 10.1080/00420989220081041

Access Statistics for this article

More articles in Urban Studies from Urban Studies Journal Limited
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:urbstu:v:29:y:1992:i:7:p:1043-1069