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December 19, 2025
MaaS vs. Reality: What Cities Actually Need from Journey Planning
January 28, 2026

Do Transit Authorities Need a White-Label Journey Planner or Just Better Transit Data? 

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Large agencies choose white-label journey planning apps to decrease car dependencies, reach urban mobility goals, strengthen the passenger relationship and manage the end-to-end experience.  

Solutions such as BVG Jelbi – “one app for all your mobility needs” and Floya app in Brussels, which integrate data and ticketing, are just two examples of this approach.  

Yet sometimes the vision of an all-in-one mobility solution might look good on paper, but the real capacity of cities to deliver it is not present. 

A UK Department for Transport study of English local transport authorities shows the gap: while 91% rated their capability to run such journey planning programmes as “fairly good,” only 54% felt they had the capacity, (the people, time, and funding) to deliver them.   

For these authorities, the challenge is determining what to do first to improve the passenger experience with available resources. 

Trust in the information is what passengers need 

From a rider’s perspective, the difference between “digital” and “operations” does not exist. There is only one question: Can I trust the information enough to rely on this trip today? 
 
Transport Focus’s Your Bus Journey survey (covering 48,000 journeys across Great Britain) found that overall satisfaction with buses in England reached 83% in 2024. The strongest driver of satisfaction being punctuality. Reliability is not just an operational metric; it is the core of the passenger experience. 

Reliable transit starts with reliable data. 

Before the riders can trust the app and the schedules – data need to be consistent, accurate, and continuously maintained.  

For example, Trafi Data Management Platform is built for this. It already supports global-scale systems such as Google Maps in cities like Rio de Janeiro and São Paulo. 

Core capabilities of DMP 

  • Integrates data from multiple sources and formats 
    Reduces fragmentation and simplifies coordination across operators and systems. 
  • Automatically enhances static schedules and real-time predictions 
    Aligns planned service with what riders see, reducing “ghost” departures and missed transfers. 
  • Maintains up-to-date, accurate, and reliable data 
    Supports continuous updates across modes, operators, and shifting service. 

Data curation doesn’t replace journey planning, it enables it 

Not every city needs to launch a full journey planner to improve urban mobility. Sometimes clean, credible real-time data is enough to make the network feel more dependable and significantly improve daily life for residents. 

A strong data foundation reduces risk and cost for any future passenger-facing investment and ensures that when a journey planner is introduced (whether soon or years from now) it performs reliably from day one. 

Passengers ultimately remember outcomes, not systems: “It said 6 minutes. It arrived in 6 minutes.” 

For many cities, the fastest route to that outcome is not launching a new journey planner but adopting a data management capability that ensures every timetable, prediction, and update is reliable and serve the citizens.  

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