Routine in Daily Life Mobility

by Southampton University, UK

To analyse and better understand departures from routine in daily life mobility.

Understanding human mobility patterns is a significant research endeavour that has recently received considerable attention. Developing the science to describe and predict how people move from one place to another during their daily lives promises to address a wide range of societal challenges: from predicting the spread of infectious diseases, improving urban planning, to devising effective emergency response strategies. Individuals are also set to benefit from this area of research, as mobile devices will be able to analyse their mobility pattern and offer context-aware assistance and information.

Researchers studying daily life mobility patterns have recently shown that humans are typically highly predictable in their movements. However, no existing work has examined the boundaries of this predictability, where human behaviour transitions temporarily from routine patterns to highly unpredictable states. Yet, this is arguably one of the most interesting and critical states, corresponding to new experiences. Understanding these transitions has the potential to give greater insight into the aforementioned applications.

We will analyse the location time series of the participants using the new models that we believe will give insight into changing nature of predictability in mobility.

We deal with lots of sensitive data at my university. The data will be behind a firewall on a password protected computer.

The data will contribute towards a paper that will be submitted to a high impact, peer reviewed academic journal.