Abstract—The study of the accessibility in the city has always
been appealing for urban planners and public trasportation
companies. Nowadays, thanks to the availability of tracking
devices on public transportation devices, it is possible to evaluate
such accessibility very accurately, and derive useful performance
measures. In this paper, we propose a complete methodological
process to analysize and measure the accessibility of a city using
bus GPS traces. Firstly, the process involves the application
of recent results in spatio-temporal data mining in order to
detect bus lines and bus stops from the traces dataset. Then
an agent-based algorithm is used to simulate human mobility in
the network, in order to study how the accessibility of the city
changes over time, and starting from different locations in the
city. Finally, the methodology is applied to bus traces collected
for the city of Rome and both the detection process and the
accessibility study are deeply investigate.