transportation
systems. Traditional approaches, including surveys and census data, have provided valuable insights
into how diverse social groups interact with transport systems, with some attention also given to gender disparities
in mobility. Recent advances in data collection, such as cell phone big data (CBD), offer new opportunities
to analyze travel patterns with greater depth and granularity. Particularly, CBD enables continuous, nonintrusive
data collection, allowing researchers to study mobility habits across various user attributes, including
gender, and trip characteristics, such as duration and geography.
This study uses CBD to explore gendered mobility patterns in the Friuli Venezia Giulia region in Northern Italy.
Employing an entropy-based approach, the research investigates systematic and non-systematic trips, focusing on
gender differences in travel habits, particularly in isolated rural areas. The analysis highlights seasonal variations
and contrasts between inner and denser locations, offering critical insights into the gender gap in regional
mobility. By addressing these unexplored dimensions, this work contributes to the broader understanding of
mobility inequities and informs policies aimed at reducing gender disparities in transport access and
opportunities.
