ANÁLISIS DE VULNERABILIDAD DE LA INFRAESTRUCTURA DE TRANSPORTE APLICANDO REDES COMPLEJAS: RED DE AVENIDAS DE LA CIUDAD DE CELAYA, GUANAJUATO (VULNERABILITY ANALYSIS OF TRANSPORTATION INFRASTRUCTURE APPLYING COMPLEX NETWORKS: CELAYA’S CITY STREET NETWORK)
Resumen
Resumen
Los sistemas de redes están presentes en la infraestructura de los países y las ciudades, en el caso del transporte terrestre, su infraestructura está formada por redes de carreteras, avenidas y calles. El análisis de vulnerabilidad de la infraestructura física permite cuantificar la sensibilidad del sistema ante amenazas, riesgos o perturbaciones que puedan presentarse en la red. En este articulo se analizó la red de avenidas principales de Celaya, empleando el enfoque de redes complejas, antes y después de la eliminación de dos nodos importantes que son entradas y salidas de la ciudad, donde se observó que los nodos con índice más alto de cercanía, no se vio afectado en gran medida, ya que quedaron de la misma forma, aunque los nodos eliminados afectaron el flujo de entrada y salida de vehículos a la ciudad. Los resultados son de interés para profesionales dedicados al diseño de sistemas logísticos de transporte.
Palabras clave: cercanía, redes complejas, red de transporte, vulnerabilidad.
Abstract
Network systems are present in the infrastructure of countries and cities. In the case of land transport, this infrastructure is formed by networks of roads, avenues and streets. The vulnerability analysis of the physical infrastructure allows quantifying the sensitivity of the system to threats, risks or disturbances that may occur on the network. In this article, the main avenue network of Celaya was analyzed, using the complex networks approach, before and after the elimination of two important nodes which are entrances and exits of the city. It was observed that the nodes with the highest index of closeness, wasn´t greatly affected, since they were the same, even though the nodes removed affected the flow of vehicles into and out of the city. The results are of interest to professionals dedicated to the design of logistics transport systems.
Keywords: closeness centrality, complex networks, transport network, vulnerability.
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