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.
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.
Kenya's transport landscape doesn't bear much resemblance to the conventional ones. Could this influence the data analysis of Kenya's transport system?
Despite the perceived risk of Covid-19 infections in public transport, more passengers might be using public transport nowadays.
Is the fear of Covid-19 infections in public transport really justified? What is the likelihood that someone will get infected in public transport?
Here's an introduction to a data-driven solution we've been working on: Fahrbar.
This article lists the many possible people counting options that public transport operators have for counting the number of passengers in public transport.
This article explains the role of occupancy data in helping public transport users follow social distancing rules in public transport.