Shared mobility options are a great way to extend the reach of your city’s core public transport network and address the first- and last-mile problem, in which riders need support to get to or from mobility hubs. It also tends to be a more cost-effective solution than investing in traditional public transport options.  

To maximise the use of shared mobility, these modes need to be well integrated with the existing public transport system, to make multimodal trips seamless for users. Solutions related to mobility as a service (MaaS), integrated ticketing and joint planning can all contribute to a well-integrated mobility system. 

There are a number of innovative solutions available that allow authorities to make their operations more efficient to reduce costs and create the opportunity to extend the network. For example, predictive maintenance can reduce long-term maintenance costs or network planning tools can better adapt bus routes to travel demand.  

Autonomous vehicles have the potential to alleviate certain public transport challenges, such as the growing driver shortage. Many pilots have taken place around Europe already, and the coming years will see increased deployment of these solutions in cities like London and Oslo.

Artificial Intelligence is more than just large language models like ChatGPT or Gemini. Its capacity to analyse large amounts of data has made it very useful for different mobility-related uses. For instance, it can be used to analyse and plan bus routes or suggest increased frequency during forecasted peak times.