Roamers Visitor Journey
Where international visitors go before and after a location, as directed flows between places with each destination's share of those journeys.
What does this metric tell me?
This metric shows the places international visitors go to before and after a chosen location, and how strongly locations connect for them. Each row is a pair of locations with a direction of travel and the share of journeys that run between them.
The unit is journeys, not people: one visitor making several onward trips counts once per trip.
What questions does it answer?
- Where do international visitors go after arriving at a hub, border, or city centre?
- Which attractions are commonly visited in sequence by international visitors?
- How do lodging areas connect to attractions?
- Which destinations are isolated from the main visitor flows?
Reading this cadence
Reported monthly, with independent time-of-day, day-of-week, and immediacy views of the same journeys.
How it's produced
When the same international visitor is seen at one location and then another, that movement is recorded as a journey with an origin and a destination, then aggregated into directed flows between location pairs.
How to read it
- Direction matters. Each pair is inbound to or outbound from the anchor location; read the two directions separately.
- Shares add up to 100%. For a given location and direction, the shares across all related locations add up to about 1 (100%), so 0.30 means 30% of those journeys go to that related place.
- Each extra column is a separate view. Time-of-day, day-of-week, and immediacy are each their own set of shares over the same journeys, so use one view at a time and do not add them together.
- Journeys, not people, so someone who makes the same trip repeatedly is counted each time.
Related metrics
- Roamers Foot Traffic, how many international visits each location gets.
- Visitor Journey, the equivalent flows for all visitors.
Country- and dataset-specific behaviour (coverage, geography units, exclusions, how international visitors are identified, release timing) is documented on each dataset in its country catalog.
Schema
This is the standard schema for the metric. Always check the schema on the specific dataset you're using, since small variations may occur per country, map, or cadence. See the list of datasets using this metric below.
Map columns (e.g. ZIP code, state, brand, polygon) are usually exposed on each dataset as available columns that aren't included by default. They're not listed here because each dataset is connected to a different map and therefore has a different set of map columns available. Open a specific dataset below to see its full schema.
| Column | Type | Description |
|---|---|---|
| location_id | STRING | Unique identifier of the location. |
| observation_start_date | DATE | Start of the observation period. |
| observation_end_date | DATE | End of the observation period. |
| related_location_id | STRING | The other location in the journey pair. |
| flow_direction | STRING | Direction of travel: inbound to or outbound from the location. |
| nationality | STRING | Country of origin of the international visitor. |
| iso3 | STRING | ISO-3 code of the visitor's country of origin. |
| total_journey_fraction | FLOAT | Share of journeys in this direction that run between the two locations. |
| daytime_journey_fraction | FLOAT | Same share, restricted to daytime journeys between 07:00–16:59. |
| evening_journey_fraction | FLOAT | Same share, restricted to evening journeys between 17:00–06:59. |
| weekday_journey_fraction | FLOAT | Same share, restricted to weekday journeys. |
| weekend_journey_fraction | FLOAT | Same share, restricted to weekend journeys. |
| immediate_journey_fraction | FLOAT | Same share, restricted to immediate (the two visits within an hour) journeys. |
| extended_journey_fraction | FLOAT | Same share, restricted to extended (the two visits more than an hour apart) journeys. |
| confidence_score | FLOAT | Relative reliability of the estimate; lower for low-activity locations. |
Datasets using this metric
See also
Metrics that are commonly read alongside this one.