The unitary elasticity property in a monocentric city with negative exponential population density

2017 ◽  
Vol 62 ◽  
pp. 1-11
Author(s):  
Weihua Zhao
1979 ◽  
Vol 11 (6) ◽  
pp. 629-641 ◽  
Author(s):  
K Zielinski

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.


1988 ◽  
Vol 37 (1-2) ◽  
pp. 101-104 ◽  
Author(s):  
N. Mukhopadhyay

Sequential confidence intervals for the positive location parameter of a negative exponential population are studied when the scale parameter is unknown. Since traditional fixed-width confidence intervals here do not lead to satisfactory solutions, we propose a different approach to construct “fixed-precision” confidence intervals for the location. Various asymptotic properties of our confidence interval procedure are discussed briefly.


1973 ◽  
Vol 5 (3) ◽  
pp. 295-338 ◽  
Author(s):  
J C Amson

This second part of a study of a city as an ‘urban gravitational plasma’ investigates in detail the case where the city consists of only one species of civic matter, and is circularly symmetric. To increase the relevance of the theory to actual urban situations, this civic matter is assumed throughout to be a citizen population, though the theory would apply just as well if other illustrations, such as floor space or traffic flows, etc., were to be chosen instead. The population is assumed to attract itself in a way which tends to increase its density in high density regions and to decrease it in low density regions. This ‘clumping’ effect is offset by another inducement on the population to relocate itself in places where some ‘dissatisfaction potential’ is less. Again, for illustration, it is assumed throughout that the dissatisfaction has the form of a housing rental, that is, the price of the composite bundle of ‘housing’ commodities and utilities. It is shown that the competition between the two civic forces of attraction and dispersal can lead to equilibrium distributions of the population in which the forces are everywhere in balance. The forms of these distributions depend greatly on the extent to which the housing rental is proportional to the local population density. Different degrees of this dependence are shown to give rise to many different forms of the equilibrium configurations available to a city. These are classified according to a regular scheme, and their properties explored and illustrated in detail. The manner in which one equilibrium configuration may grow into another, with or without any change in the total population in the city, leads to the idea of an ‘equilibrium growth’ in a city. Again their different possible types are examined in detail. Finally, certain classes of the equilibrium configurations are shown to resemble closely the familiar negative exponential and gaussian distributions of population density. The resemblance can be so close as to make it extremely likely that many actual cities, that have been shown elsewhere to exhibit population density distributions of those forms, may in fact be exhibiting equilibrium distributions of the kind deduced in this study.


2018 ◽  
Vol 46 (6) ◽  
pp. 1061-1078 ◽  
Author(s):  
Fahui Wang ◽  
Cuiling Liu ◽  
Yaping Xu

Most empirical studies indicate that the pattern of declining urban population density with distance from the city center is best captured by a negative exponential function. Such studies usually use aggregated data in census area units that are subject to several criticisms such as modifiable areal unit problem, unfair sampling, and uncertainty in distance measure. In order to mitigate these concerns associated, this paper uses Monte Carlo simulation to generate individual residents that are consistent with known patterns of population distribution. By doing so, we are able to aggregate population back to various uniform area units to examine the scale and zonal effects explicitly. The case study in Chicago area indicates that the best fitting density function remains exponential for data in census tracts or block groups, however, the logarithmic function becomes a better fit when uniform area units such as squares, triangles or hexagons are used. The study also suggests that the scale effect remain to some extent in all area units, and the zonal effect be largely mitigated by uniform area units of regular shape.


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