1476. How to mitigate natural disaster-based disruptions affecting urban rail transit networks: devising cost-effective strategies via bi-level programming
Invited abstract in session TC-17: Service Network Design: challenges and opportunities, stream Combinatorial Optimization.
Tuesday, 12:30-14:00Room: Esther Simpson 2.08
Authors (first author is the speaker)
| 1. | Annunziata Esposito Amideo
|
| Quinn School of Business, University College Dublin | |
| 2. | Stefano Starita
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| Sasin School of Management | |
| 3. | Maria Paola Scaparra
|
| Kent Business School, University of Kent |
Abstract
Railway systems are considered critical infrastructures, as their malfunction, whether due to natural or man-made disasters, can have far-reaching adverse effects on entire communities. Therefore, the ability to assess railway system vulnerabilities and devise cost-effective protection strategies is of paramount importance. This work-in-progress aims to advance the state of the art in optimization for railway infrastructure protection by proposing a novel bi-level program in which a natural disaster affects an urban rail transit network and its components (i.e., stations and/or tracks), and the network operator must implement protection strategies to effectively mitigate the consequences of resulting disruptions. We also propose two additional variants of this model: (i) one with demand windows and (ii) one that is time-dependent with time windows. These models were designed with floods in mind as the natural disaster of interest; however, they can be adapted to other types of natural disasters. We present preliminary experimental results on grid-based generated test networks and extend our testing with a case study on the Central London Tube.
Keywords
- OR in Sustainability
- Strategic Planning and Management
- Combinatorial Optimization
Status: accepted
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