Dekker, Mark M., van Lieshout, Rolf N., Ball, Robin, Bouman, Paul C., Dekker, Stefan C., Dijkstra, Henk A., Goverde, Rob M. P., Huisman, Dennis, Panja, Debabrata, Schaafsma, Alfons A. M. and van den Akker, Marjan (2022) A next step in disruption management : combining operations research and complexity science. Public Transport, 14 . pp. 5-26. doi:10.1007/s12469-021-00261-5 ISSN 1866-749X.

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Abstract

Railway systems occasionally get into a state of being out-of-control, meaning that barely any train is running, even though the required resources (infrastructure, rolling stock and crew) are available. Because of the large number of affected resources and the absence of detailed, timely and accurate information, currently existing disruption management techniques cannot be applied in out-of-control situations. Most of the contemporary approaches assume that there is only one single disruption with a known duration, that all information about the resources is available, and that all stakeholders in the operations act as expected. Another limitation is the lack of knowledge about why and how disruptions accumulate and whether this process can be predicted. To tackle these problems, we develop a multidisciplinary framework combining techniques from complexity science and operations research, aiming at reducing the impact of these situations and—if possible—avoiding them. The key elements of this framework are (i) the generation of early warning signals for out-of-control situations, (ii) isolating a specific region such that delay stops propagating, and (iii) the application of decentralized decision making, more suited for information-sparse out-of-control situations.

Item Type:	Journal Article
Subjects:	H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HE Transportation and Communications Q Science > QA Mathematics T Technology > T Technology (General)
Divisions:	Faculty of Science, Engineering and Medicine > Science > Physics
Library of Congress Subject Headings (LCSH):	Railroads -- Risk management, Railroads -- Timetables -- Mathematical models, Railroads -- Traffic -- Mathematical models, Scheduling -- Mathematical models, Operations research, System Analysis, Complexity (Philosophy)
Journal or Publication Title:	Public Transport
Publisher:	Springer
ISSN:	1866-749X
Official Date:	March 2022
Dates:	Date Event March 2022 Published 1 February 2021 Available 6 January 2021 Accepted
Volume:	14
Page Range:	pp. 5-26
DOI:	10.1007/s12469-021-00261-5
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	24 August 2021
Date of first compliant Open Access:	25 August 2021
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID 439.16.111 ProRail http://dx.doi.org/10.13039/501100009957 439.16.111 Nederlandse Spoorwegen http://viaf.org/viaf/130881331 439.16.111 [NWO] Nederlandse Organisatie voor Wetenschappelijk Onderzoek http://dx.doi.org/10.13039/501100003246

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