Can blockchain make a difference in public transport? We find out from research literature.
Most people opt for public transport because they cannot afford private cars. So it's crucial to serve their transport needs with Big Data.
Spatial aggregation is one of the techniques used to ensure data is protected when citizens disclose their personal information during census.
One major strength of Geohashing is that it can also be used to provide a good degree of anonymity.
Behind the day-to-day operations of public transport are the public transport workers, who have been hit hard by Covid-19.
Let's see whether our web app Fahrbar works in a different transport setting. Here's an example: Using Fahrbar in Kenya's minibus system.
Visualizing geospatial data can help users communicate how different variables correlate to geographical locations by layering the same variables over maps.
Geospatial data has morphed into one of the most in-demand forms of data. Before the different commercial industries started tapping their potential, Geospatial Data was mainly used by the military, maritime, aeronautical organizations, and intelligence agencies.
Public transportation, especially in some cities, is a nightmare but for some, a timely solution has come in handy and that is GTFS.
Kenya's transport landscape doesn't bear much resemblance to the conventional ones. Could this influence the data analysis of Kenya's transport system?