From the betweenness centrality in street networks to structural invariants in random planar graphs
- Submitting institution
-
University of Exeter
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1835
- Type
- D - Journal article
- DOI
-
10.1038/s41467-018-04978-z
- Title of journal
- Nature Communications
- Article number
- ARTN 2501
- First page
- -
- Volume
- 9
- Issue
- 1
- ISSN
- 2041-1723
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work for the first time combines empirical, mathematical and historical data analyses to show that the areas that are more prone to high traffic congestion in cities are rooted on global and universal characteristics of transportation systems and how cities evolved, resilient and irrespective to local interventions. We show that these patterns were present not only in current systems but also throughout the evolution of the Paris street networks since 1790. This paper has been featured in a news article published by the University of Rochester (https://www.rochester.edu/newscenter/complex-systems-laws-of-physics-traffic-markets-networks-367952/). This work was presented at the American Physical Society (APS) meeting (http://meetings.aps.org/Meeting/MAR19/Session/B56.9).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -