Data Privacy and Security in Digital Driver Licensing Systems: A Descriptive-Correlational Study on Public Trust and Compliance

Abstract

This study investigates factors influencing data privacy compliance, public trust, and the adoption of digital driver licensing systems among Filipino motorists. With increasing reliance on digital government services, understanding citizens’ perceptions and behaviors is vital for policy development and system improvement. A descriptive-correlational design was employed, involving 116 licensed drivers who responded to a structured questionnaire measuring data protection compliance, trust in digital systems, and willingness to adopt online licensing services. Results revealed a high level of compliance with data privacy guidelines (M = 4.23), strong public trust in digital systems (M = 4.15), and a generally positive willingness to adopt digital licensing (M = 4.28). Multiple regression analysis showed that years of holding a driver's license, data security perceptions, and trust in digital systems significantly predicted compliance and willingness to adopt digital services. Demographic variables such as age, gender, and educational attainment did not significantly influence trust or compliance. Based on these findings, the study proposes the DIGILIGTAS program, an integrated policy and training framework to enhance data security, raise public awareness, and promote user-friendly digital services. Key strategies include cybersecurity training for LTO personnel, public information campaigns, and user-centered platform redesign. The study highlights the importance of secure and accessible systems in building digital trust and accelerating adoption of e-governance services in the Philippines.