A big data analysis of the gender gap in mobility at the regional scale: Insights from northern Italy

Dario Bertocchi, Francesco Bruzzone and Silvio Nocera

Journal of Transport Geography, 2025, vol. 128, issue C

Abstract: Understanding mobility needs and habits has long been essential for shaping sustainable and equitable 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, non-intrusive data collection, allowing researchers to study mobility habits across various user attributes, including gender, and trip characteristics, such as duration and geography.

Keywords: Gender disparities; Mobility patterns; Cell phone big data (CBD); Entropy-based analysis (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:128:y:2025:i:c:s0966692325002819

DOI: 10.1016/j.jtrangeo.2025.104390

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