Print Email Facebook Twitter A data-driven approach for quantifying the resilience of railway networks Title A data-driven approach for quantifying the resilience of railway networks Author Knoester, Max J. (Student TU Delft) Bešinović, Nikola (TU Delft Transport and Planning) Afghari, A.P. (TU Delft Safety and Security Science) Goverde, R.M.P. (TU Delft Transport and Planning) van Egmond, Jochen (ProRail) Date 2023 Abstract Disruptions occur frequently in railway networks, requiring timetable adjustments, while causing serious delays and cancellations. However, little is known about the performance dynamics during disruptions nor the extent to which the resilience curve applies in practice. This paper presents a data-driven quantification approach for an ex-post assessment of the resilience of railway networks. Using historical traffic realization data in the Netherlands, resilience curves are reconstructed using a new composite indicator, and quantified for a large set of single disruptions. The values of the resilience metrics are compared across disruptions of different causes using Welch's ANOVA and the Games-Howell test. Additionally, representative resilience curves for each disruption cause are determined. Results show a significant heterogeneity in the shape of the resilience curves, even within disruptions of the same cause. The proposed approach represents a useful decision support tool for practitioners to assess disruptions dynamics and propose best measures to improve resilience. Subject ANOVABathtub modelData-drivenDisruption managementRailwaysResilience To reference this document use: http://resolver.tudelft.nl/uuid:6bfc8661-7ed8-4d45-85a3-59f29786ccce DOI https://doi.org/10.1016/j.tra.2023.103913 Embargo date 2024-05-24 ISSN 0965-8564 Source Transportation Research. Part A: Policy & Practice, 179 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2023 Max J. Knoester, Nikola Bešinović, A.P. Afghari, R.M.P. Goverde, Jochen van Egmond Files PDF 1_s2.0_S0965856423003336_main.pdf 1.96 MB Close viewer /islandora/object/uuid:6bfc8661-7ed8-4d45-85a3-59f29786ccce/datastream/OBJ/view