Transferability of collective transportation line networks from a topological and passenger demand perspective
Author(s) -
Eva Barrena,
Alicia De-Los-Santos,
Gilbert Laporte,
Juan A. Mesa
Publication year - 2015
Publication title -
networks and heterogeneous media
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.732
H-Index - 34
eISSN - 1556-181X
pISSN - 1556-1801
DOI - 10.3934/nhm.2015.10.1
Subject(s) - transferability , linearization , perspective (graphical) , computer science , line (geometry) , complex network , topology (electrical circuits) , mathematics , physics , artificial intelligence , combinatorics , machine learning , geometry , nonlinear system , logit , quantum mechanics , world wide web
We analyze the transferability of collective transportation line networks (CTLN) with the help of hypergraphs, their linearization, and connectivity measures from Complex Network Theory. In contrast to other existing works in the literature, where transferability is analyzed at a topological level, we are also concerned with passenger system level, introducing data on the travel patterns. This will allow us to have a more complete view of the functioning of the transfer system of a CTLN.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom