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The importance of knowing and managing the increase in demand

The large metropolises are in a key situation because they must ensure an efficient and sustainable public transport to its inhabitants. 53% of the world population already lives in urban areas and it is expected that this figure will rise to 67% by 2050. That is why mobility in a private vehicle is increasingly unfeasible due to the congestion of accesses in the city that generates. 

The Autoritat del Transport Metropolità states that in Barcelona, every day 362,325 people enter and leave the city by public transport. This figure continues growing and its authorities and operators must put their efforts in avoiding saturation.

The city of Barcelona registered a total of 710 million passengers in public transport in 2018, 4% more than the previous year, which, added to the last 5 years, represents 13% of accumulated growth.

The director of mobility and transport of the Àrea Metropolitana de Barcelona, Joan Maria Bigas, declares that “this increase of users not only forces to improve the service, but it is necessary to do something more”.

In this way, we come to the essential question for these authorities and operators:

How can the quality of public transport be improved?

The first step is to know the demand. For this, it is necessary to have the real information of the passengers’ needs. Having an automatic passenger counting and path analysis system, such as Counterest, will allow managers to improve the quality of service through two fundamental pillars:

Firstly, the operations department can monitor the lines in real time and know which ones are more stressed to send reinforcements and minimize the reaction time. They can also control agglomerations and measure fraud.

Moreover, the planning managers can use the data to feed their predictive models, thus being able to adjust the fleet according to the fluctuation of passengers, as well as being able to simulate changes of route. It also allows you to cross the data with other sources such as meteorology, the city’s calendar or the time of year, to see how they affect the demand or to be able to establish more precise predictions.

Our Passenger Analytics solution also offers the interurban and intermodal Origin-Destination matrix. Follow the routes of passengers between means of transport and locations and trace their movements on the map. This matrix provides the key information to make decisions to optimize your travel times and improve the quality of service.

As we have seen, with the correct data it is possible to reduce the saturation of public transport. That is why passenger analytics is vital for the future of, not just mobility, but Smart Cities.

According to UITP, 62% of public transport authorities are already involved in Artificial Intelligence projects for more sustainable mobility. Next April 10th at 5pm we will be at the Jornada Catalana de la Mobilitat 2019 explaining more about how Deep Learning will revolutionize urban mobility.

If you are interested in attending or scheduling a meeting, you can send an email to info@counterest.com