Contesting Mexico City’s alleged polycentric condition through a centrality-mixed land-use composite index

Bibliographic Data

ID21016306
AuthorsJorge Montejano (0000-0002-6914-1229, corresponding author), Jorge Montejano Escamilla (Centro de Investigación en Geografía y Geomática ‘Ing. Jorge L. Tamayo’, A.C., Mexico), Camilo Alberto Caudillo Cos (0000-0002-2450-5295), Camilo Caudillo Cos (Centro de Investigación en Geografía y Geomática ‘Ing. Jorge L. Tamayo’, A.C., Mexico), José Silván Cárdenas (Centro de Investigación en Geografía y Geomática ‘Ing. Jorge L. Tamayo’, A.C., Mexico)
Year2016
Volume53
Issue11
Pages2380-2396
Publication date2016-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Studies (JOURNAL)
Journal identifiersISSN: 0042-0980 • E-ISSN: 1360-063X
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/0042098015588685
OpenAlexW2255409561
LanguageEN
Citations received20
References cited39

We examine Mexico City’s urban structure through a composite index by combining two previously existing metrics: one derived from the Urban Network Analysis tool (UNA), recently published by MIT researchers, and the other, using an Entropy Index, which in essence, represents the mixed land-use degree. The proposed composite index embodies a different approach from previous methods reported in the literature because it uses disaggregated data at the unit level, performs weighted cluster calculations through a network data set, and incorporates a mixed land-use metric. This method was developed in order to test if the urban arrangement showed signs of a polycentric condition under a particular centrality standpoint. We observed that Mexico City has a relatively weak polycentric urban condition

Centrality · Composite index · Composite indicator · Econometrics · Economic geography · Economics · Entropy (arrow of time) · Geography · Index (typography) · Metric (unit) · Operations management · Regional science · Statistics · Computer Science · Land Use and Ecosystem Services · Mathematics · Regional Economics and Spatial Analysis · Urban Transport and Accessibility

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