User Acceptance, Safety Perceptions, Governance, and Policy Feasibility of AI-Based Surveillance for Women in Urban Public Transport

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Authors: I. Indriyati, Euis Saribanon, Ika Utami Yulihapsari
Cited by: 0

Abstract

“This dataset contains anonymized survey responses from 200 female public transport users in Jakarta, collected for the study ‘User Acceptance, Safety Perceptions, Governance, and Policy Feasibility of AI-Based Surveillance for Women in Urban Public Transport.’ The dataset supports analysis of women’s safety perceptions, harassment experiences, and acceptance of AI-based smart surveillance systems. All personal identifiers have been removed to ensure confidentiality. Supplementary materials from the Delphi expert validation process are available upon reasonable request from the corresponding author.”

Fields of Study & Subjects

Ethics and Social Impacts of AI Smart Cities and Technologies Privacy Security and Data Protection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset