2006
DOI: 10.1111/j.1538-4632.2006.00690.x
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Logistic Population Growth in the World's Largest Cities

Abstract: This article demonstrates that recent population growth in the world's largest cities has conformed to the general parameters of the logistic process. Using data recently provided by the United Nations, logistic population growth for 485 million-person cities is analyzed at 5-year intervals during 1950-2010, with the UN projections for 2015 adopted as upper limits. A series of ordinary least-squares regression models of increasing complexity are estimated on the pooled data. In one class of models, the logarit… Show more

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Cited by 16 publications
(8 citation statements)
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“…A more comprehensive methodology is required to account for the rapid growth and expansion of mid-sized and smaller cities in the world geography of urbanisation. We have therefore replicated Mulligan and Crampton's (2005) calculation of the world's urban centre of demographic gravity based on the location and population of the world's cities (our results vary slightly from theirs since our calculations were based on an updated and enlarged data set). We found ongoing shifts in a southeasterly direction, consistent with the trend identified by Mulligan and Crampton (2005).…”
Section: The Shifting World Urban Centres Of Population and Publication Gravitymentioning
confidence: 95%
“…A more comprehensive methodology is required to account for the rapid growth and expansion of mid-sized and smaller cities in the world geography of urbanisation. We have therefore replicated Mulligan and Crampton's (2005) calculation of the world's urban centre of demographic gravity based on the location and population of the world's cities (our results vary slightly from theirs since our calculations were based on an updated and enlarged data set). We found ongoing shifts in a southeasterly direction, consistent with the trend identified by Mulligan and Crampton (2005).…”
Section: The Shifting World Urban Centres Of Population and Publication Gravitymentioning
confidence: 95%
“…It clearly shows that complex dynamic behavior does not require complex rules. There is a wide spectrum of applications of the logistic model, from chemical reaction rates over growth of animal and plant populations up to the growth of towns . Quite similar patterns are obtained from the Lotka–Volterra equations, which find extensive use in biology, ecology, and epidemiology.…”
Section: Mathematical Modelingmentioning
confidence: 88%
“…There is a wide spectrum of applications of the logistic model, from chemical reaction rates over growth of animal and plant populations up to the growth of towns. [21] Quite similar patterns are obtained from the Lotka-Volterra equations, [22] which find extensive use in biology, ecology, and epidemiology. In particular, they have been used to investigate the relationship between predator and prey and the associated systemic risks with respect to the stock of a population.…”
Section: Top-down Modelsmentioning
confidence: 92%
“…For example, Gaile and Hanink (1985) found that the growth of individual cities over time can be simply described with reference to a truncated normal curve. Mulligan (2006) demonstrated that the growth of the world's largest cities follows a logistic process. The new economic geography (NEG), based on a general equilibrium framework, has provided a modelling strategy based on the spatial distribution of agglomeration in urban and regional systems (Fujita and Mori, 2005).…”
Section: Discussionmentioning
confidence: 99%