The question
How do the characteristics of the shore visit (duration, distance covered, stops, use of transport) explain whether and how much transit cruise passengers spend, compared with socio-demographic characteristics?
The method
Pre- and post-visit questionnaires combined with GPS loggers (one point every 10 seconds) handed to about one passenger in 20 at Langelinie quay, in autumn 2018 and summer 2019; 183 valid cases. Stop detection (speed-duration algorithm), chi-square tests and two logistic regression models (spends/does not spend; high/low spending with a €50 threshold).
What the study finds
- Personal characteristics (age, education, income) show no significant association with the decision to spend, whereas visit behaviour does: making at least one stop longer than 40 minutes is linked to odds of spending about 17 times higher than making only short stops.
- Among those who spend, having made a stop of over 40 minutes is associated with roughly 2.6 times higher odds of spending more than €50, compared with those making only shorter stops.
- Non-spenders stay around the quay, among nearby free attractions, and pause only briefly: just a third of their stops (33%) last more than 10 minutes, against about 54% of the stops made by the highest spenders.
The study indicates that in Copenhagen cruise visitors' spending is tied mainly to how long they stop and how far they go from the quay, rather than to who they are. For ports and cities this suggests investing in wayfinding, a varied offer and bookable activities that lengthen stops and carry spending beyond the busiest areas.
Limitations
Small sample (183) collected in two periods in a single city; spending is self-reported, the place of a stop cannot be linked to the type of purchase, and no causal link between stops and spending can be established.
Sciortino, C., Ferrante, M., De Cantis, S., Gyimóthy, S. (2022). Tracking cruise passengers' consumption: An analysis of the relationships between onshore mobility and expenditure. Annals of Tourism Research Empirical Insights 3 (2022) 100059 (Elsevier).
Read the original study ↗Summary written by the ODYBOAT Observatory in our own words. Tables and figures belong to the authors.