The superstation representation of metro networks for overcoming data availability issues of station-to-station origin destination pairs – An application on the London underground

Research output: Chapter in Book/Report/Conference proceedingChapter

Authors

  • Tamás Nádudvari
  • Ronghui Liu
  • Chandra Balijepalli
  • Qian Fu

External organisations

  • University of Leeds

Abstract

Information on metro passengers’ route choices is important to public transport operators. Recently, smart cards have been introduced in many metropolises, which, however, do not reveal explicitly the actual routes of the cardholders. Research literature shows that a finite mixture model (FMM) may provide an efficient approach to inferring the route choices; still, it can be rendered ineffective when the data sample size is small. To overcome this issue, we introduce the concept of ‘superstations’, which is a group of stations from/to which passengers have similar route choice patterns. From that, a larger data sample can be available for a superstation-to-superstation origin destination pair, so as to regain a functional FMM and enhance its fitness for inferring the passengers’ route choices. We test the proposed methodology on the London Underground. Results show that the FMM applied on the superstation representation presents a better performance than using a simple station-to-station representation.

Details

Original languageEnglish
Title of host publicationProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019
Subtitle of host publicationTransport and Smart Cities
EditorsAndy H.F. Chow, S.M. Lo, Lishuai Li
Publication statusPublished - Dec 2019
Event24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019 - Hong Kong, Hong Kong
Duration: 14 Dec 201916 Dec 2019

Publication series

NameProceedings of the 24th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2019: Transport and Smart Cities

Conference

Conference24th International Conference of Hong Kong Society for Transportation Studies: Transport and Smart Cities, HKSTS 2019
CountryHong Kong
CityHong Kong
Period14/12/1916/12/19

Keywords

  • Data availability, Finite mixture model, Route choice, Smart card, Superstation