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Pàgina inicial > Articles > Articles publicats > Modelling population density over time : |
Data: | 2017 |
Resum: | This study provides an empirical application of the Bayesian approach for modelling the evolution of population density distribution across time. It focuses on the case of Massachusetts by tracking changes in the importance of spatial distance from Boston concerning citizens' choices of residence according to data for 1880- 1890 and 1930-2010. By adopting a Bayesian strategy, results show that Boston reinforced its attractiveness until the 1960s, when the city's accessibility no longer represented the unique determinant of population density distribution. Referring to selected historical evidence, a few possible interpretations are presented to endorse these results. La modélisation de la densité de la population au fil du temps: l'importance de la distance spatiale. Regional Studies. |
Ajuts: | Ministerio de Economía y Competitividad ECO2014-52506 Agència de Gestió d'Ajuts Universitaris i de Recerca 2014SGR327 |
Drets: | Tots els drets reservats. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió acceptada per publicar |
Matèria: | Bayesian inference ; Distance ; Ethnic composition ; Population distribution ; Random frailties |
Publicat a: | Regional studies, Vol. 51 Núm. 4 (2017) , p. 602-6015, ISSN 0034-3404 |
Postprint 35 p, 806.9 KB |