000			02065nam a2200241uu 4500
001			2041119470041
003			OSt
005			20190211180530.0
008			120411s2012 bl ||||g| |0|| 0 eng d
100	1		_aPEREIRA, Rafael Henrique Moraes _944556
245	1	0	_aQuantifying Urban Centrality: A Simple Index Proposal And International Comparison
260			_aBrasília : _bIPEA, _c2012
300			_a32 p.
490	0		_aTexto para Discussão ; _v1675a
520	3		_aThis study introduces a new measure of urban centrality. It identifies distinct urban structures from different spatial patterns of jobs and resident population. The proposed urban centrality index constitutes an extension of the spatial separation index (MIDELFART-KNARVIK et al., 2000). It is suggested that urban structure should be more accurately analyzed by considering a centrality scale (varying from extreme monocentricity to extreme polycentricity) rather than a binary variable (monocentric or polycentric). The proposed index controls for differences in size and shape of the geographic areas for which data is available, and can be calculated using different variables, such as employment and population densities and trip generation rates. The properties of the index are illustrated in simulated artificial data sets. Simulation results for hypothesized urban forms are compared to other similar measures proposed by previous literature. The index is then applied to the urban structure of four different metropolitan areas: Pittsburgh and Los Angeles in the United States; São Paulo, Brazil; and Paris, France, The index is compared to other traditional spatial agglomeration measures, such as global and local Moran`s I, and density gradient estimations
700	1		_aNADALIN, Vanessa _946330
700	1		_aMONASTERIO, Leonardo _946331
700	1		_aALBUQUERQUE, Pedro Henrique Melo _943001
856	4	2	_uhttp://www.ipea.gov.br/sites/000/2/publicacoes/tds/TD_1675aa.pdf _yAcesso
942			_cE
998			_a20120411 _b1947^b _cGeisneer
998			_a20120510 _b1521^b _cCarolina
999			_aConvertido do Formato PHL _bPHL2MARC21 1.1 _c42074 _d42074
041			_aeng