Passenger segmentation using smart card data

L.M. Kieu, A. Bhaskar, Edward Chin Shin Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

156 Citations (Scopus)


© 2000-2011 IEEE.Transit passenger market segmentation enables transit operators to target different classes of transit users for targeted surveys and various operational and strategic planning improvements. However, the existing market segmentation studies in the literature have been generally done using passenger surveys, which have various limitations. The smart card (SC) data from an automated fare collection system facilitate the understanding of the multiday travel pattern of transit passengers and can be used to segment them into identifiable types of similar behaviors and needs. This paper proposes a comprehensive methodology for passenger segmentation solely using SC data. After reconstructing the travel itineraries from SC transactions, this paper adopts the density-based spatial clustering of application with noise (DBSCAN) algorithm to mine the travel pattern of each SC user. An a priori market segmentation approach then segments transit passengers into four identifiable types. The methodology proposed in this paper assists transit operators to understand their passengers and provides them oriented information and services.
Original languageEnglish
Article number6981952
Pages (from-to)1537-1548
Number of pages12
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number3
Publication statusPublished - 1 Jun 2015
Externally publishedYes


  • Automated fare collection (AFC) system
  • market segmentation
  • public transport
  • smart cards (SCs)
  • transit passenger

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications


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