The complexity and robustness of metro networks
By Sybil Derrible, C. Kennedy. 2010
436 citations recorded by the source corpus.
Subfields: Statistical and Nonlinear Physics, Transportation
View Paper: https://www.semanticscholar.org/paper/1542105dd3572964bb0ee8211b45844f1206e314
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistical and Nonlinear Physics
- José J. Ramasco
- Filippo Simini
- Myriam Regattieri de Biase da Silva Delgado
- Keiko Verônica Ono Fonseca
- Ricardo Lüders
- Marcelo de Oliveira Rosa
- Marc Barthelemy
- A. A. Bona
In Transportation
- Marc Barthelemy
- Filippo Simini
- Hugo Barbosa
- Ronaldo Menezes
- José J. Ramasco
- Charlotte James
- Thomas Louail
- Gourab Ghoshal
Citations in the corpus
- Human mobility: Models and applications (2017, background): “Examples include metro networks in Beijing [191], Boston [192], London [193, 194], Montreal [195], Paris [193] and Seoul [196]; bus networks in China [197, 198] and Poland [199]; train networks in Boston, Vienna [200] and in India [201]; and combined public transportation networks in 14 cities aroun”
- Analysis of Public Bus Transportation of a Brazilian City Based on the Theory of Complex Networks Using the P-Space (2016, methodology): “Scale-free network behavior was identified in several analyses performed over 33 metro-based PTS [13].”
- How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas (2018, background): “two stations with two transfer op235 tions each are better than one station with four transfer options (Derrible and Kennedy, 2010).”