Willing to lead sustainable mobility trend, the UK became the first major economy legislating for reaching the net-zero emissions by 2050, and local governments work to redesign their cities, as London that aspire to have by 2041 the 80% of the total trips made by foot, by cycle or public transport.
To reach the objectives are multiple options, starting by the implementation of Data and Technology for traffic management, or even, to implement autonomous mobility. The use of Machine Learning or Artificial Intelligence could help to better planning the routes, or the cities’ expansion, giving in this way a quality improvement to the services offered by the Public City Transport.
An efficient public city could lead to a change in how the people move around, opting for combinations between transports, such as bikes, scooters, and buses. The British government is well aware of this, through data driven decisions is creating new policies for new low-traffic neighbourhoods to allow people to walk, to cycle and giving better access to PT. The policies that aim to improve the cycling conditions (less than 35% of the British have been cycling in the last 12 months, and only 40% posses their own bikes), comes with a strong investment in bike infrastructure and the creation of “Active Travel England” to inspect, assess and improve cycling along the country. The measures had almost immediate impact, and now people feel safer when uses different means of transport offered by companies such as scooters and e-bikes. The rise of shared mobility companies is notorious, scooters and bikes from “Santander”, “The Human Forest” or “TIER” every time are more common in London streets, and this Industry expects to show an annual growth in revenue of 10.63% between 2022-2026.