Identification of Clusters in Travel Patterns using Smart Card Data

Kristian Hegner Reinau, Henrik Harder

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review


This article is the first contribution, which explores the potential of smart card data in relation to optimization of public transport in a peripheral monocentric region. A modularity analysis is made using smart card data collected in Northern Jutland in Marts and July 2014, and the analysis reveals first, that smart card data can be used to identify clusters within flows of public transport passengers in a peripheral region. Second, that the presence of such clusters suggest that public transport should be planned to give the users the possibility of travelling with good connectivity and easiness within these clusters. Third, the presence of such clusters in peripheral areas of the monocentric region suggest, that the overall current focus in public transport planning on transport possibilities to and from the central city in monocentric regions is questionable.
Original languageEnglish
Title of host publicationProceedings of 11th ITS European Congress, Glasgow, Scotland, 6-9 June 2016
Number of pages10
PublisherITS European Congress
Publication date2016
Article numberITS-EU-SP0267
Publication statusPublished - 2016
Event11th ITS European Congress - Glasgow, Glasgow, United Kingdom
Duration: 6 Jun 20169 Jun 2016


Conference11th ITS European Congress
Country/TerritoryUnited Kingdom


  • Smart Card
  • Modularity analysis
  • Public transport


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