ANALYSIS OF THE ROAD NETWORK STRUCTURES BASED ON STREET CONNECTIVITY

María Erándi Flores Romero, Irving Omar Morales Agiss, Liliana Beatriz Sosa Compean

Resumen


The following article proposes a method to identify structures inside a road network with a flow-base community detection algorithm implemented on a graph representing the city road network.

According to the results obtained in the cities of Mexico and Monterrey, the method effectively divides road infrastructure into several communities and preserves geographical neighboring. The frontiers of communities match administrative divisions along with other frontiers inside the city.

The identification of communities could be useful to study the heterogeneity of street connectivity inside the city which could lead to improvements in urban mobility or even the application of public policies.


Palabras clave


road networks; connectivity of communities; space syntax

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Referencias


Bettencourt, Lobo, & Strumsky, 2004. Bettencourt, L., Lobo, J. and Strumsky, D. (2004). “Invention in the City: Increasing returns to scale in metropolitan Patenting”. Retrieved December, 2018, from https://pdfs.semanticscholar.org/9f92/6ccc4aba0fa68712ccbb5faaffb5fbb715da.pdf

Bettencourt et al, 2007. Bettencourt, L., Lobo, J., Helbings, D., Kuhnert, C. and West G. ( 2007). Growth, innovation, scaling, and the pace of life in cities. PNAS 104 (17). doi: 10.1073 pnas.0610 172104

Cardillo et al, 2006. Cardillo, A., Scellato, S., Latora, V., Porta, S. (2006).Structural properties of planar graphs of urban street patterns. Physical Review E, 73(6). doi:10.1103/physreve.73.066107

Chartrand & Zhang, 2012. Chartrand, G. and Zhang, P. (2012). A First Course in Graph Theory. Mineola, NY: Dover.

Edler D., Rosvall M. ( 2018) “Source code for multilevel community detection with Infomap”. Map Equation. Retrieved in


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