City & tourism management

The movements of people in a city centre are very diverse. While the one is rushing to work, the next is on a shopping spree, and the third is enjoying the sun on the waterfront. Multiple modes of transport interact in confined spaces, while peak demands are often larger than the mobility networks can handle. As a result, managing visitor flows in city centres is a challenging task.

In a city every day is different. Incidents can always occur. A traffic accident happens, a tram has broken down, too many tourists attempt to visit the same museum at the same time, or a large demonstration is organised at short notice. In addition, large public events are organised frequently. All incidents and events impacts the crowds’ dynamics, safety and experience in the transit hub, as well as their presence in the surrounding of the transit hub. 

The earlier public officials can confirm (or refute) their hypothesis on the source of the incident, the unfolding of events and their impact on passenger flows, the earlier they can take effective action. The City Analytics platform allows public officials to visualize, analyse and evaluate the mobility trends in their city.

Live insights into your event and surroundings

We set up a live feed of the most important open data sources pertaining the sentiment of the visitors of the city (Twitter and Instagram), mobility patterns in the city (NDW, NDOV, parking, and bridge openings) and the weather (Buienradar). Besides that, we add the municipalities own live data to the mix. Whether one has counting systems, loop sensors, 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.

Scenario-based working

Moreover, 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.

Multi-modal data analytics

Understanding the relations between the modes of transport in a city is essential to manage the visitor flows in the city. The City Analytics platform provides insights in the demand of various modes of mobility, as well as the current state of the different networks. Moreover, as all data is readily available within one platform, one can analyse the relation between the dynamics of various modes of transport. 

Digital twin for long-term trend analytics

The database of the City Analytics platform retains the data regarding the city for more than a year. Consequently, you can use the same analytics to study long-term trends featuring the city’s dynamics as one would use for real-time tourist & visitor flow management. This allows public officials to objectively evaluate and optimize visitor movements using trend analysis.