No open-access location is known for this record yet.
No open-access location is known for this record yet.
Understanding variability in individual behaviour is crucial for the comprehension of travel patterns and for the development and evaluation of planning policies. In the last 30 years a vast body of research has approached the issue in a variety of ways, but there are no studies on the intrinsic day-to-day variability in the individual preferences for mode choices and on the effect of habitual behaviours in absence of external changes. This requires using continuous panel data. Few papers have studied mode choice with continuous panel data but focused on the panel correlation. In this work we use a six-week travel diary survey to study the intrinsic day-to-day variability in the individual preferences for mode choices, the effect of habitual behaviour in the daily mode choices and the effect of long period plans. Mixed logit models are estimated that account for the above effects as well as for systematic and random heterogeneity over individual preferences and responses. We also account for correlation over several time periods. Our results suggest that individual tastes for time and cost are fairly stable but there is a significant systematic and random heterogeneity around these mean values and in the preferences for the different alternatives. We found that there is a strong inertia effect in mode choice that increases with (or is reinforced by) the number of time the same tour is repeated. The sequence of mode choice made is influenced by the duration of the activity and the weekly structure of the activities. Finally, models improve significantly when panel correlation is accounted for. But it seems that inertia can explain to some extent for panel effect.
Loading…
Stored only when both papers are in the corpus — 6 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.