Mobipy – Biblioteca para análise de padrões de mobilidade de usuários.

Abstract

With the increased availability of georeferenced databases, the interest in analyzing them in researches that require understanding mobility patterns of people, specially in urban centers, has expanded. This knowledge may help researches in different fields, as well as being useful for improving the infrastructure of large cities. Given this range of applications, several metrics were proposed in the literature to infer patterns of user movement, however, they are not frequently available for use in other studies. The algorithms used may be unavailable, incompatible, or in need of adjustments, making it hard to be reused. In this paper, we present Mobipy, a Python library that brings together metrics and functions frequently used to calculate user mobility patterns. It was developed with a focus on usability and compatibility with multiple data sets, facilitating the tasks of research and data analysis. For validation, the library was tested with real-world data. We hope Mobipy will