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Gender and active travel: a qualitative data synthesis informed by machine learning.

Emily HaynesJudith GreenRuth GarsideMichael P KellyCornelia Guell
Published in: The international journal of behavioral nutrition and physical activity (2019)
This rare application of machine learning to qualitative social science research has helped to identify potentially important differences in co-occurrence of practices and discourses about practice between men's and women's accounts of travel across diverse contexts. These findings can inform future research and policy decisions for promoting travel-related social practices associated with increased physical activity that are appropriate across genders.
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