Paper by Daniela Shuman, et al: “Studies in the literature have found significant differences in travel behavior by gender on public transit that are largely attributable to household and care responsibilities falling disproportionately on women. While the majority of studies have relied on survey and qualitative data to assess “mobility of care”, we propose a novel data-driven workflow utilizing transit fare card transactions, name-based gender inference, and geospatial analysis to identify mobility of care trip making. We find that the share of women travelers trip-chaining in the direct vicinity of mobility of care places of interest is 10% – 15% higher than men….(More)”.
Can Mobility of Care Be Identified From Transit Fare Card Data? A Case Study In Washington D.C.
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
artificial intelligence, DATA
Using Artificial Intelligence in the Grantmaking Process
Posted in February 4, 2026 by Stefaan Verhulst
DATA
Recommendations for upgrading the nature data value chain for market participants
Posted in February 4, 2026 by Stefaan Verhulst
artificial intelligence, DATA
A.I. and Our Economic Future
Posted in February 3, 2026 by Stefaan Verhulst