Visitor management starts when visitors buy a ticket to go to a theme park. Based on ticket sales and historic information, most theme parks have a good idea of who is coming to their park at what moment in time. Yet, only during the day they’ll find out whether their hypothesis regarding the crowd’s composition, the modal split and the crowd’s behaviour and weather are correct.
The earlier safety officers can confirm (or refute) their assumptions about the visitors movements and choices, the earlier they can take effective action. The City Analytics platform allows park managers to see the mobility trends in their region. Crowding at attractions, queues at toilets, queues on highways, delayed trains, blocked roads, full parking lots, bad weather; none of this is going to be a surprise anymore with the City Analytics platform.
Live data insights regarding terrain and surrounding network
We set up a live feed of the most important open data sources pertaining the crowd (Twitter and Instagram), mobility (NDW, NDOV, parking, and bridge openings) and the weather (Buienradar). Besides that, we add the organisations own live data to the mix. Whether one has counting systems, ticket scanners, RFID-bracelets or smart camera’s, we can easily connect to it. No management across 5 different platforms anymore, instead all crowd insights are together in one place.
The City Analytics platform allows you to specify specialist scenarios and warnings. To identify whether visitor flows get close to capacity, set a warning for a specific flow rate or crowd density. Similarly, to determine whether trains are delayed during the outflow of an event, set a warning for any delayed train scheduled to stop at the station nearest to the event. This way, surprises are something of the past.
Long-term trend analytics
The database of the City Analytics platform retains the data regarding the theme park and surrounding network for more than a year. Consequently, you can use the same analytics to study long-term trends within theme parks as one would use for real-time visitor management. This allows crowd managers to objectively evaluate and optimize visitor movements using trend analysis.