Multiple abrupt phase transitions in urban transport congestion
- URL: http://arxiv.org/abs/2005.12902v3
- Date: Mon, 11 Jan 2021 16:59:03 GMT
- Title: Multiple abrupt phase transitions in urban transport congestion
- Authors: Aniello Lampo, Javier Borge-Holthoefer, Sergio G\'omez, Albert
Sol\'e-Ribalta
- Abstract summary: We show that the location of the onset of congestion changes according to the considered urban area.
We introduce a family of planar road network models composed of a dense urban center connected to an arboreal periphery.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: During the last decades, the study of cities has been transformed by new
approaches combining engineering and complexity sciences. Network theory is
playing a central role, facilitating the quantitative analysis of crucial urban
dynamics, such as mobility, city growth or urban planning. In this work, we
focus on the spatial aspects of congestion. Analyzing a large amount of real
city networks, we show that the location of the onset of congestion changes
according to the considered urban area, defining, in turn, a set of congestion
regimes separated by abrupt transitions. To help unveiling these spatial
dependencies of congestion (in terms of network betweenness analysis), we
introduce a family of planar road network models composed of a dense urban
center connected to an arboreal periphery. These models, coined as GT and
DT-MST models, allow us to analytically, numerically and experimentally
describe how and why congestion emerges in particular geographical areas of
monocentric cities and, subsequently, to describe the congestion regimes and
the factors that promote the appearance of their abrupt transitions. We show
that the fundamental ingredient behind the observed abrupt transitions is the
spatial separation between the urban center and the periphery, and the number
of separate areas that form the periphery. Elaborating on the implications of
our results, we show that they may have an influence on the design and
optimization of road networks regarding urban growth and the management of
daily traffic dynamics.
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