VISUALISATION OF SOCIO‐SPATIAL ISOLATION BASED ON HUMAN ACTIVITY PATTERNS AND SOCIAL NETWORKS IN SPACE‐TIME

ABSTRACT 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.