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From Profiles to Pathways: Revealing E-Bike Mobility and Their Environmental Context Using Latent Cluster Class Analysis and Streetscape Semantic Segmentation

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorEttema, Dick
dc.contributor.authorLee, Wenhsin Edith
dc.date.accessioned2025-09-04T23:01:25Z
dc.date.available2025-09-04T23:01:25Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/50343
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectProfiling Accessibility: Exploring Sustainable Non-Car Travel Behavior in the Netherlands
dc.titleFrom Profiles to Pathways: Revealing E-Bike Mobility and Their Environmental Context Using Latent Cluster Class Analysis and Streetscape Semantic Segmentation
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuApplied Data Science
dc.thesis.id53667


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