A next step in disruption management: combining operations research and complexity science
Document Type
Journal Article
Publication Date
2022
Subject Area
mode - rail, planning - methods
Keywords
Railway disruption management, Rescheduling, Complexity science, Operations research
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.
Rights
Permission to publish the abstract has been given by SpringerLink, copyright remains with them.
Recommended Citation
Dekker, M.M., van Lieshout, R.N., Ball, R.C., Bouman, P.C., Dekker, S.C., Dijkstra, H.A., Goverde, R.M.P., Huisman, D., Panja, D., Schaafsma, A.A.M., & van der Akker, M. (2022). A next step in disruption management: combining operations research and complexity science. Public Transport, Vol. 14, pp. 5–26.
