Evaluating passenger robustness in a rail transit network

Alicia De-Los-Santos, Gilbert Laporte, Juan A. Mesa, Federico Perea

Research output: Contribution to journalArticlepeer-review

129 Citations (SciVal)

Abstract

The purpose of this paper is to provide passenger robustness measures for a rail transit network. A network is robust when it reacts well to disruptions on links or stations. In order to measure robustness, indexes relative to the overall travel time of a network when links fail are introduced for two different cases: without-bridging interruptions and with-bridging interruptions. In the first case, passengers either have to wait for the failure to be repaired or find an alternative route in the network, whereas in the second case a bus service between the affected stations is provided and only the failing link is disrupted. A computation of these indexes for the Madrid commuter system shows their applicability.

Original languageEnglish
Pages (from-to)34-46
Number of pages13
JournalTransportation Research Part C: Emerging Technologies
Volume20
Issue number1
DOIs
Publication statusPublished - Feb 2012

Funding

This work was partly supported by the Future and Emerging Technologies Unit of EC (IST priority – 6th FP), under contract no. FP6-021235-2 (ARRIVAL project), by Ministerio Ciencia e Innovación (Spain) MTM2009-14243, by Junta de Andalucía P09-TEP-5022 , by Ministerio de Fomento (Spain) PT-2007-003-08CCPP and by the Canadian Natural Sciences and Engineering Research Council under Grant 39682-10 . This support is gratefully acknowledged. Special thanks are due to the division Cercan ı´ as Metropolitanas de Madrid , of the railway Spanish operator RENFE , for providing the necessary data for our computational experiments. We also thank the referees for their valuable comments.

Keywords

  • Indexes
  • Passenger robustness
  • Railway network design

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications

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