The public transport data sparsity from our previous article led to our attempt in finding more answers using heatmaps to zoom in to the limited data we have.
Why do multimodal public transport associations need to distribute ticket revenue to the multiple operators in charge of the multiple modes of transport?
How long or often does each passenger ride a line or one section of a line? Where does a passenger get in and out?
This article looks at why it makes sense to use sensor data analytics in public transport.
Most people opt for public transport because they cannot afford private cars. So it's crucial to serve their transport needs with Big Data.
Kenya's transport landscape doesn't bear much resemblance to the conventional ones. Could this influence the data analysis of Kenya's transport system?
This article looks at the identification of public transport routes that tend to have recurring delays.
This article goes through the topic of demand analysis for public transport routes.