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Vacancy Chain Analysis×Rank-Size Rule×
ÁreaHuman GeographyHuman Geography
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19701949
Autor originalHarrison C. WhiteGeorge Kingsley Zipf
TipoSystem model of mobility driven by the movement of vacancies through linked unitsEmpirical regularity and diagnostic for the size distribution of cities
Fonte seminalWhite, H. C. (1970). Chains of Opportunity: System Models of Mobility in Organizations. Harvard University Press, Cambridge, MA. ISBN: 9780674080652Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley, Cambridge, MA. ISBN: 9781614273790
Outros nomesVacancy Chain Model, Chains of Opportunity, Vacancy Transfer Analysis, Vacancy Chain Mobility ModelZipf's Law for Cities, Rank-Size Distribution, City-Size Rank-Size Relationship, Rank-Size Regularity
Relacionados44
ResumoVacancy chain analysis is a system model of mobility, introduced by Harrison White in his 1970 book Chains of Opportunity, that follows opportunities rather than people. When a unit such as a house or a job is freed and filled by someone who in turn vacates another unit, a chain of moves cascades through the system until it ends with a new entrant or a unit leaving the stock. By treating vacancies as the things that move — through an absorbing Markov chain — the framework explains how a single new dwelling or retirement can ripple into many household relocations or promotions.The rank-size rule is an empirical regularity describing the size distribution of cities within a country or region. In its simplest form, popularized by George Kingsley Zipf in 1949, the population of a city is inversely proportional to its rank, so the second-largest city is about half the size of the largest, the third about a third, and so on. Generalized to a power law with an exponent q, it provides a compact way to summarize how evenly or unevenly population is spread across a settlement system and to diagnose urban primacy.
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ScholarGateComparar métodos: Vacancy Chain Analysis · Rank-Size Rule. Recuperado em 2026-06-25 de https://scholargate.app/pt/compare