Riding the Rails in a Pandemic
– why real-time intelligence is key to restoring commuter confidence
By Christian Carstens, PR & Digital Marketing Manager
People don’t just want social distancing on trains and hand sanitisers. They want control – and they want it every step of the way.
According to surveys by Transport Focus and PwC, over 60% of UK Underground users and 77% of US transit commuters feel that physical distancing must remain at stations and on trains for them to feel safe using public transport.
Many rail and metro transit operators have been quick to take action – encouraging mask-wearing, placing floor markings, installing hand sanitisers, and directing people to less-crowded areas with signage.
And yet, the surveys suggest that the visible evidence of safety protocols is not enough to restore traveller confidence alone. According to the PwC survey, commuters rank having a sense of control over their surroundings as more important than visible COVID-19 safety measures.
With so many unknown factors surrounding travel – different schedules, varying passenger numbers and changing behaviour – travellers want to know they can quickly move to a safer space. Or change their plans to minimise the risk of infection.
So, how do operators keep commuters safe, restore their confidence and give them a sense of control? Real-time, intelligent data may hold the answer.
The more informed in real-time, the safer commuters feel
One of the best ways travellers can feel safer is through real-time information-sharing and guidance.
Measures that are proving effective include the combination of dynamic digital signage, and mobile apps that allow people to access real-time journey information. This includes departure and arrival times, entrance congestion, platform and carriage density levels, and recommendations for the best places to stand.
With this at hand, commuters can choose a less-crowded station or alter their travel time. What’s more, transit use becomes better distributed as a result – further minimising the risk of bottlenecks, and ultimately improving the experience for all.
The better understanding of flow, the faster operators can flex
Of course, ensuring safety requires a lot more than just giving passengers access to information. To manage physical distancing effectively, operations staff also needs to know passenger flow and occupancy levels. This includes expected arrivals and departures – whether by stairs, escalators, lifts or on trains – and their respective numbers.
They also need to know how commuters behave while in the station, as well as be able to see the impact of delays and missed trains. By understanding how and when people arrive or depart, and how they move through the station, operators can quickly identify potential problem areas and take action.
The bigger the picture, the better decisions made
Artificial intelligence and visualisation tools are increasingly being used to detect overcrowding and to monitor and encourage distancing. These technologies can also be used to assess the operator’s reaction to a set of circumstances and improve the response to similar scenarios in the future.
By implementing a system that connects to and transforms any data source – including WiFi/Bluetooth and 3D sensors, ticketing and train schedules – into actionable insight, operators can make the right decisions for their station, network and passenger safety.
Measuring density in real time and analysing trends in movement over time means that operations can not only minimise crowding but predict and respond quickly to potential breaches.
Blending this input with historical data also proves useful to understand the impacts of unexpected events on operations. This could include constructions, repairs, incidents or delays – enabling operators to more accurately plan their staff resourcing, train distribution and scheduling.
Benefits down the line
Passenger numbers will inevitably continue to increase as restrictions ease, and the challenges faced by public transit will undoubtedly be significant. To be post-pandemic ready, the arguably most robust option is to combine real-time crowd information with historical data and machine learning.
This will ensure that operators not only effectively implement and maintain physical distancing but also better plan for future developments and improvements. No matter what measures we see in the future, operators will need system-wide insights to adapt to capacity changes. But ensuring passenger health and safety will always come first.
Veovo helps airports globally adapt to new processes and changing travel patterns, unlock efficient ways of working and provide safer journeys. Please get in touch to arrange a call to explore how we can help your business.
“With Veovo’s sensors and analytics, the MTA has more reliable data to inform service changes and improve safety on platforms.“
“With Veovo, we can see where the flow of visitors entering and leaving the station, and measure their numbers, length of stay, times of day, and how busy the different locations are.”