Introduction to the special issue on public transport modelling

Introduction to the special issue on public transport modelling EURO J Transp Logist (2017) 6:219–220 DOI 10.1007/s13676-017-0107-6 EDITORIAL Introduction to the special issue on public transport modelling 1 2,3 Guido Gentile Oded Cats Published online: 11 July 2017 Springer-Verlag Berlin Heidelberg and EURO - The Association of European Operational Research Societies 2017 This special issue consists of three papers that were submitted in response to an open call for papers that advance the state of the art of modelling public transport systems. The call was made in conjunction with COST action TU1004 on ‘‘Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems’’ and the second European Symposium on Quantitative Methods in Transportation Systems (hEART). Public transport models describe and predict transit system performance and the patterns of network usage by passengers, which are a fundamental input for planning and operations. The models currently used do not take adequately into consideration the effects brought about by the increasingly advanced and widespread Intelligent Transportation Systems on public transport operations and on users’ behavior. This special issue consists of three papers that extend existing public transport route choice and assignment models by considering flexible modes of operation, service reliability and real-time information and heterogeneity in multimodal door-to-door travel http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png EURO Journal on Transportation and Logistics Springer Journals

Introduction to the special issue on public transport modelling

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag Berlin Heidelberg and EURO - The Association of European Operational Research Societies
Subject
Business and Management; Operations Research/Decision Theory; Logistics; Operations Research, Management Science; Optimization
ISSN
2192-4376
eISSN
2192-4384
D.O.I.
10.1007/s13676-017-0107-6
Publisher site
See Article on Publisher Site

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