Urbanization is linked to economic growth, and agglomeration economies mean that people in larger cities are more productive. However, urban expansion is also associated with congestion, localized environmental damage, and potentially, social segregation. In this paper we examine how urban expansion and changing urban spatial structure affects the level and scale of socioeconomic segregation of cities in Mexico. We measure different dimensions of urban spatial structure, and segregation by income and education at different geographic scales in 100 Mexican cities from 1990 to 2010. We then examine correlations between the two sets of variables, and run multivariate regressions to assess how changes in urban spatial structure relate to changes in the level and scale of segregation. Findings reveal that as cities expand, inhabitants experience greater levels of socioeconomic segregation, especially at a larger geographic scale. However, an increasing centralization of cities is associated with less segregation. This process works differently for segregation by education and income. For the former, less educated households are become more segregated in expanding, centralizing cities. For the latter, it is high-income households who are becoming more isolated. This study reveals provocative generalizations about the association between urban expansion and increasing segregation in Mexico. It suggests that movements into and out of central cities, rather than urban fragmentation or sprawl, shape how household mobility reorganizes social space.
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.
RESUMEN Objetivo Proponer un índice de seguridad de cruces peatonales (ISCP) sobre vialidades primarias en Ciudad de México para calificar los cruceros peatonales semaforizados, y contrastar el ISCP con hechos de tránsito para probar, en forma empírica, si hay alguna asociación entre la calidad de los cruceros y la siniestralidad. Métodos Identificación de los criterios del índice mediante una revisión del estado del arte, ponderación de los criterios para generar el ISCP mediante el método de análisis multicriterio, diseño de una muestra aleatoria estratificada de cruces peatonales (n = 490) y su evaluación. Resultados Relativo a la evaluación de los cruceros mediante el ISCP, destaca que 91,3% de los cruces evaluados en Ciudad de México no cuentan con las condiciones óptimas para resguardar la seguridad de los peatones, con el macrocriterio “Accesibilidad” como el peor calificado. En lo referente al modelaje, resalta que tanto la mezcla de usos del suelo como la distancia de cruce son las variables explicativas más importantes para predecir hechos de tránsito. Conclusiones El análisis mostró con relativo éxito la relación entre algunas de las variables (criterios) que conforman el ISCP con los hechos de tránsito. En muchos casos, esto muestra coherencia teórica. En otros, abre preguntas de investigación.
Con la emergencia de nuevos algoritmos para el análisis de redes y la aparición de bases de datos económicas desagregadas a nivel de unidad, se plantea un método distinto a los anteriormente reportados en la literatura especializada para detectar centralidades urbanas.La primera parte define la centralidad urbana y presenta una disertación teórica sobre la condición policéntrica. Posteriormente, se muestran los métodos anteriormente usados para la medición de las centralidades y se describen las nuevas herramientas empleadas en esta investigación. Finalmente, se presentan algunos resultados de este método aplicado como caso de estudio en la ciudad de México.
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