
doi: 10.1007/bf00167982
This paper describes a methodology for the analysis of multiday travel-activity patterns in which each multiday travel-activity pattern is characterized as a set of daily travel-activity pattern types. This approach facilitates identification of general weekly travel-activity pattern types as well as examination of the relationships between weekly travel-activity behavior and the hypothesized determinants of that behavior. This methodology is an extension of one developed previously by the author for analysis of daily travel-activity patterns. The methodology is applied to a sample of 112 weekly travel-activity patterns of employed people.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 52 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
