La mesure de l’urbanisation aux Etats-Unis, des premiers comptoirs coloniaux aux Metropolitan Areas (1790-2000)
We describe here an original methodology for building a harmonized data base relative to urban populations in United States, from 1790 to 2000 (one point every 10 years, i.e. 22 dates). This method is based on two theoretical principles. The first one consists in the use of a space-time referential...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | DE EN FR IT PT |
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Unité Mixte de Recherche 8504 Géographie-cités
2008
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| Acceso en línea: | https://doaj.org/article/c590f5c2eb3b474dab51891b4e31ac3a |
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| Sumario: | We describe here an original methodology for building a harmonized data base relative to urban populations in United States, from 1790 to 2000 (one point every 10 years, i.e. 22 dates). This method is based on two theoretical principles. The first one consists in the use of a space-time referential in order to build agglomerations, by aggregating cities or towns from 1870 (inside a one-hour limit at each period of time). The second consists in the use of a functional approach of urban entities as early as possible, i.e. from 1940 and on. We have two different types of functional areas in our data base, metropolitan and micropolitan. The metropolitan areas definition has changed several times (Standard Metropolitain Areas in 1949, Standard Metropolitan Statistical Areas in 1958 and Statistical Metropolitan Areas in 1983). We elaborate different criteria to correct some perimeters, in order to obtain a temporal coherent trajectory of populations and surfaces. As these metropolitan areas are very few (less than 400 in the 2000 census), we use the definition of micropolitan areas (given in 2000 by the Census Board) to build such areas in prior decades, up to 1940. The different maps that are built from our harmonized data base (urban frontier, urban patterns and surfaces) give a global and coherent vision of U.S urbanization through the last two centuries. Lastly, we compare urban growth and inequality size indicators computed with our data base to others computed with the Census definition or with other data bases built by researchers. The results are sometimes very different, which confirm the major impact of the delineation methodology in urban growth measures. |
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