An analysis on movement patterns between zones using smart card data in subway networks

Kwanho Kim, Kyuhyup Oh, Yeong Kyu Lee, Sung Ho Kim, Jae Yoon Jung

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Identifying zones and movement patterns of people is crucial to understanding adjacent regions and the relationship in urban areas. Most previous studies addressed zones or movement patterns separately without analysing simultaneously the two issues. In this article, we propose an integrated approach to discover directly both zones and movement patterns among the zones, referred to as movement patterns between zones (MZPs), from historical boarding behaviours of passengers in subway networks by using an agglomerative clustering method. In addition, evaluation measures of MZPs are suggested in terms of coverage and accuracy. The effectiveness of the proposed approach is finally demonstrated through a real-world data set obtained from smart cards on a subway network in Seoul, Korea.

Original languageEnglish
Pages (from-to)1781-1801
Number of pages21
JournalInternational Journal of Geographical Information Science
Volume28
Issue number9
DOIs
StatePublished - Sep 2014

Keywords

  • boarding behaviour
  • movement clustering
  • movement pattern analysis
  • smart card data
  • subway networks
  • zone analysis

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