Stations, airports and metro stations
Any public transit journey involves multiple modes of transport. People cycle to the train station, take a train to the next city, and walk to their destination. Consequently, transit hubs such as train stations, airports and metro stations are fully integrated within their direct environment. To manage passenger flows, insights into the unravelling of passenger flows is essential to create an optimal travel experience for passengers.
Every day is different in a transit hub. Incidents can always occur. A train is delayed, a metro has broken down, a passenger collapses, or the evacuation alarm sounds. Any of these incidents 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 safety officers can confirm (or refute) their hypothesis on the source of the incident and its impact on passenger flows, the earlier they can take effective action. The City Analytics platform allows station managers to see the mobility trends in their station as well as the surrounding environment. Little time is required to get to the bottom of things with the City Analytics platform.
Live data insights regarding transit hub and surrounding mobility networks
We set up a live feed of the most important open data sources pertaining the crowd’s sentiment (Twitter and Instagram), mobility networks in the vicinity of the transit hub (NDW, NDOV, parking, and automated bridges) and the weather (Buienradar). Accordingly, we add the organisations own live data to the mix. Whether one has counting systems, ticket scanners, smart cameras or IP-cameras, we can easily connect to it. No management across 5 different platforms anymore, instead all crowd insights are together in one place.
Multi-modal data analytics
As a transit hub is deeply embedded in the fabric of the city, understanding the relations between the available modes of transport near the station and public transit is essential. The City Analytics platform provides insights in the demand for various first- and last mile options in the vicinity of the transit hub. 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 transit hub and its surrounding mobility networks for more than a year. Consequently, you can use the same analytics to study long-term trends featuring the transit hub as one would use for real-time passenger management. This allows crowd and safety managers to objectively evaluate and optimize visitor movements using trend analysis.