Why do multimodal public transport associations need to distribute ticket revenue to the multiple operators in charge of the multiple modes of transport?
Buses in Warsaw, Poland. The Polish capital has one of the most efficient transport systems in Europe.
Occupancy prediction is one of the many ways Big Data is proving to be useful to both the passenger and the transit authority in Poland.
Since big data can be well-implemented in public transport, what are the first, second and third party data for public transport? This article takes a look.
This article looks at why it makes sense to use sensor data analytics in public transport.
Big Data's impact on some important sectors is no longer a novelty but not everyone is convinced of its utility. So we put together some examples of how.
Can blockchain make a difference in public transport? We find out from research literature.
Is it really good to have bike-friendly cities and how do we get them? Let's find out in this article.
This article explores how big data can help the tourism industry recover from the downfall they have faced during the global lockdowns.
This article looks at the identification of public transport routes that tend to have recurring delays.
Defining public transport delays is not as straightforward as we think. This article dives deep into this complex topic.