Measuring spill-over effects of disruptions in public transport networks

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

Transit is vital to the functioning of most major cities in the world today and therefore evaluation of the robustness-capacity to withstand disruptions with minimal impact to the system-of transit networks is essential. In this paper, we study the spatial extent of link disruption impacts in urban public transport networks (PTNs) due to spill-over effects that occur as affected passengers choose alternative routes. Quantifying link criticality in terms of its spatial propagation effects is important for prioritizing robustness measures as well as devising methods to encapsulate disruption spill-over effects. To this end, a new local criticality indicator-spatial criticality-that is based on: (i) the magnitude of relative change in load on other links due to closure of a link and (ii) the topological distance between these other links and the disrupted link is introduced. Further, a stochastic user equilibrium, PTN assignment model is developed. The model explicitly considers the service layer of the PTNs and accounts for on-board crowding and denied boarding at stops to represent passenger spill-over effects. Finally, to demonstrate the proposed indicator and investigate its relationship with conventional, local topological indicators, the urban rail-bound network of Amsterdam is used as a case study.

Original languageEnglish
Title of host publication5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages756-761
Number of pages6
ISBN (Electronic)978-1-5090-6484-7
DOIs
Publication statusPublished - 8 Aug 2017
Event5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Naples, Italy
Duration: 26 Jun 201728 Jun 2017

Conference

Conference5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017
Abbreviated titleMT-ITS 2017
CountryItaly
CityNaples
Period26/06/1728/06/17

Keywords

  • assignment model
  • criticality
  • crowding
  • public transport

Fingerprint

Dive into the research topics of 'Measuring spill-over effects of disruptions in public transport networks'. Together they form a unique fingerprint.

Cite this