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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorMasthoff, J.F.M.
dc.contributor.authorMouzaki, Eleni
dc.date.accessioned2025-04-02T23:01:17Z
dc.date.available2025-04-02T23:01:17Z
dc.date.issued2025
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/48704
dc.description.abstractAs concerns about personal safety during door-to-door transportation con tinue to rise, the need for an effective way to measure how well technology addresses these concerns has never been more urgent. This project intro duces the Perceived Personal Safety Scale (PPSS), a new tool designed to measure the effectiveness of technological innovations in enhancing travel ers’ perceived personal safety. We developed this scale by first diving into existing research and then conducting focus groups to uncover the key fac tors that affect feelings of safety. This approach helped us create and a list of scale items. After an expert review to refine those items and exploratory factor analysis, we reduced them down to a concise thirteen-item scale. We thoroughly tested the PPSS to ensure it was both reliable and valid. Now, researchers and personal safety technology developers can use this scale to measure—and effectively compare—the impact of various technologies on personal safety, paving the way for more effective safety solutions in transportation systems.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectIn this thesis we developed and evaluated a scale for measuring perceived personal safety that is fostered through technology during door to door transportation
dc.titleHow Safe Do We Feel? Development and Validation of a Scale to Measure Perceived Personal Safety Fostered through Technology during Door-to-Door Transportation
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsPerceived personal safety; Door-to-door transportation; Scale development; Evaluation of technologies; Personal safety technologies; Technology in Transportation
dc.subject.courseuuHuman-Computer Interaction
dc.thesis.id36573


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