Systemic risk approach to mitigate delay cascading in railway networks

Delay cascades may significantly disrupt the regular operation of public transportation systems. What are the origins and processes involved in delay-spreading in public railway systems? How can delay propagation in national railway systems be efficiently managed with a minimum of effort? With a network-based systemic risk approach, we quantify the impact of trains on the system. This allows us to find which train assignments play the leading roles in transmitting delays to following trains. This identification of weak spots in the system now enables us to effectively reduce delay cascades by adding very few specific short-distance train services. Reducing delays encourages people to use public transportation, thereby lowering emissions and promoting sustainability. Agent-based simulations validate our results.

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Publication Details

Journal
npj Sustainable Mobility and Transport
Published
2024-12-10
DOI
https://doi.org/10.1038/s44333-024-00012-6
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Systemic risk approach to mitigate delay cascading in railway networks

Simone Daniotti, Vito D. P. Servedio, Stefan Thurner, Johannes Kager et al.
npj Sustainable Mobility and Transport
Complex Network Analysis Techniques
article

Systemic risk approach to mitigate delay cascading in railway networks

Simone Daniotti, Vito D. P. Servedio, Stefan Thurner, Johannes Kager, Aad Robben-Baldauf
article en

Abstract

Delay cascades may significantly disrupt the regular operation of public transportation systems. What are the origins and processes involved in delay-spreading in public railway systems? How can delay propagation in national railway systems be efficiently managed with a minimum of effort? With a network-based systemic risk approach, we quantify the impact of trains on the system. This allows us to find which train assignments play the leading roles in transmitting delays to following trains. This identification of weak spots in the system now enables us to effectively reduce delay cascades by adding very few specific short-distance train services. Reducing delays encourages people to use public transportation, thereby lowering emissions and promoting sustainability. Agent-based simulations validate our results.

npj Sustainable Mobility and TransportVol. 1(1)
Santa Fe Institute (US), TU Wien (AT), Complexity Science Hub (AT), Medical University of Vienna (AT)
Climate action
Openalex Percentile: Top 79%
Complex Network Analysis Techniques
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