Visualisation of socio-spatial isolation based on human activity patterns and social networks in space-time

Jae Yong Lee, Mei Po Kwan

Research output: Contribution to journalArticlepeer-review


Few previous studies of socio-spatial isolation have explored both its spatial and temporal dimensions. This study proposes and implemented four visual methods for analysing socio-spatial isolation using graphic representation of people's social networks and activity patterns in space and time: 3D space-time paths, time windows, 3D activity density surfaces, and ring-based visualisation of social networks. These visualisations utilise both activity-travel data and social network information. The data used were collected through a specially designed activity-travel diary survey with a sample of Koreans in the Columbus metropolitan area in Ohio (USA). The results show that these visualisations can considerably enhance our understanding of the relationships between people's activities in space-time and their social interactions. Combining social network analysis with activity pattern analysis can lead to a better understanding of socio-spatial isolation.

Original languageEnglish (US)
Pages (from-to)468-485
Number of pages18
JournalTijdschrift voor economische en sociale geografie
Issue number4
StatePublished - Sep 2011
Externally publishedYes


  • Human activity patterns
  • Social isolation
  • Social networks
  • Space-time paths
  • Visualisation

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Economics and Econometrics


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