Analysis of day-to-day variability in an individual's action space: Exploration of 6-week mobidrive travel diary data

Susilo, Yusak O.; Kitamura, Ryuichi

Abstract

Using 6-week travel diary data from Karlsruhe and Halle, Germany, this study examines the characteristics of individuals' action space. The extension of action space is represented by the second moment of the activity locations that it contains. Day-to-day variation in the second moment is examined. The results show that out-of-home activity orientation and commitment (e.g., obligatory activities on weekdays and discretionary activities on weekend days) influence the extension of action space. For workers and students on weekdays, the spread of activity locations and the distance from home to the centroid of activity locations are relatively stable from day to day. A substantial portion of the variations in their action spaces is due to unexplained differences across individuals that remain stable over time for each individual (unobserved heterogeneity). In contrast, random factors have dominant influences on nonworkers' weekday action spaces and on all individuals' weekend action spaces.

Citation

Susilo, Y. O., & Kitamura, R. (2005). Analysis of day-to-day variability in an individual's action space: Exploration of 6-week mobidrive travel diary data. Transportation Research Record, 1902(1902), 124-133. https://doi.org/10.3141/1902-15

• Journal Article Type: Article
• Publication Date: Jan 1, 2005
• Journal: Transportation Research Record
• Print ISSN: 0361-1981
• Publisher: SAGE Publications
• Peer Reviewed: Peer Reviewed
• Volume: 1902
• Issue: 1902
• Pages: 124-133
• DOI: https://doi.org/10.3141/1902-15
• Keywords: individual action space, Mobidrive travel diary data
• Public URL: https://uwe-repository.worktribe.com/output/1052114
• Publisher URL: http://dx.doi.org/10.3141/1902-15
• Additional Information: Additional Information : Introduces a new method to measure individual action space and its day-to-day variability. Further examination with a larger scale dataset and under a different scenario led to the best paper award at the 9th International Symposium for Students and Young Researchers on Transportation and Infrastructure Planning, Chiba, Japan, 2005.