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|Other Titles:||Zipf's Law and the Spatial Interaction Models|
|Issue Date:||2016-09-29 17:01:07 (UTC+8)|
It is well known that the size distribution of cities is surprisingly well described by Zipf's law. It is considered the criterion for the local growth model. The purpose of this paper is to explain Zipf's law through the use of a dynamic process based on a spatial interaction model derived from entropy. Empirical findings show that: (1) the purposed dynamic process can generate both stable and unstable patterns in accordance with the value of the parameters, (2) in the stable evolution, the model can generate both deterministic and stochastic growth processes, (3) both deterministic and stochastic growth processes converge in Zipf's pattern, and (4) evidence from cities in Taiwan shows a diminishing estimated intercept and slope as the proposed model predicted. Size distribution in Taiwan converges to Zipf's pattern.
|Relation:||國立政治大學學報, 83, 125-156|
|Appears in Collections:||[第83期] 期刊論文|
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