Analysing the complexity of day-to-day individual activity-travel patterns using a multidimensional sequence alignment model: A case study in the Bandung Metropolitan Area, Indonesia. (October 2017)

• Record Type: Journal Article
• Authors: Dharmowijoyo, Dimas B.E.; Susilo, Yusak O.; Karlström, Anders
• Is Part Of: Journal of transport geography. Volume 64(2017)
• Page Start: 1
• Page End: 12
• Publication Date: 2017-10
• Subjects: Day-to-day individual activity-travel pattern -- Multidimensional sequence alignment model -- Time-space constraints -- Bandung Metropolitan Area -- Indonesia; Transportation -- Periodicals; Telecommunication -- Periodicals; Transport -- Périodiques; Télécommunications -- Périodiques; Telecommunication; Transportation; Periodicals; 388
• DOI: 10.1016/j.jtrangeo.2017.08.001
• Languages: English
• ISSNs: 0966-6923

Abstract

Abstract: Using a panel regression model and a multidimensional three-week household time-use and activity diary, this study analyses the complexity of the day-to-day variability in individuals' activity-travel patterns by applying a multidimensional sequence alignment model. It is found that the variability between weekend and weekday pairs is much greater than between weekday-weekday pairs or weekend-weekend pairs. The variability of other household members' activity-travel patterns is found to significantly influence an individual's activity-travel patterns. The results also show that the variability in the activity-travel patterns of workers and students is greater when conducting a particular discretionary activity on weekdays. Due to performing discretionary activities more often and for longer, non-workers tend to have more predictable activity-travel patterns. Undertaking multitasking activities within different activities on weekdays significantly impacted the different degrees of variability in an individual's activity-travel patterns. Having different health and built environment characteristics also corresponds with different degrees of predictability of the activity-travel patterns, particularly in the worker/student case. Highlights: Taking in individuals' multi-facet and multi-dimensional activity-travel Understanding how time-space components shape the individuals' activity-travel. The degree variability on Sunday is much higher than other days. Showing the influence of other household members' activity-travel pattern Showing the influence of individuals' health condition and built environment factors