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New data and methods for modelling future urban travel demand: a state of the art review

Author
Puignau, S.; Pons-Prats, J.; Sauri, S.
Type of activity
Book chapter
Book
Computation and Big Data for transport
First page
51
Last page
67
Publisher
Springer Nature
Date of publication
2020
ISBN
978-3-030-37751-9 Open in new window
DOI
10.1007/978-3-030-37752-6
Repository
http://hdl.handle.net/2117/180091 Open in new window
URL
https://link.springer.com/book/10.1007/978-3-030-37752-6 Open in new window
Abstract
This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures followed by question-and-answer sessions, the conference explored potential solutions and innovations to improve transport and mobility in surface and ai...
Citation
Puignau, S.; Pons-Prats, J.; Sauri, S. New data and methods for modelling future urban travel demand: a state of the art review. A: "Computation and Big Data for transport". Springer Nature, 2020, p. 51-67.
Keywords
Future mobility, New data sources, Review, State of the art, Travel demand modelling, Urban mobility
Group of research
GMNE - Numerical Methods in Engineering Group

Participants