Recovery time and propagation effects of passenger transport disruptions

Journal Article (2018)
Author(s)

Caterina Malandri (University of Bologna)

Achille Fonzone (Edinburgh Napier University)

O. Cats (TU Delft - Transport and Planning)

Transport and Planning
Copyright
© 2018 Caterina Malandri, Achille Fonzone, O. Cats
DOI related publication
https://doi.org/10.1016/j.physa.2018.03.028
More Info
expand_more
Publication Year
2018
Language
English
Copyright
© 2018 Caterina Malandri, Achille Fonzone, O. Cats
Transport and Planning
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.@en
Volume number
505
Pages (from-to)
7-17
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

We propose a method to evaluate public transport network vulnerability. We study the evolution of the passenger Volume Over Capacity (VOC) ratio throughout the network to measure the spatial and temporal extent of the impacts caused by an unplanned service segment disruption. The VOC ratio provides an indication of the on-board travel comfort, an important level-of-service indicator, as well as reflects the residual capacity for absorbing additional demand. Because of the dynamic nature of public transport systems, disturbances propagate through the network in both time and space. Our modelling approach is able to capture transit system dynamics and quantify the extent to which the network exhibits spillover effects. We apply the method to the case of the rapid public transport system of Stockholm Sweden We demonstrate how the changes in network saturation and the corresponding recovery time can be quantified.

Files

1_s2.0_S0378437118303480_main.... (pdf)
(pdf | 1.32 Mb)
- Embargo expired in 26-09-2018
License info not available