Resumo:
This research investigates the application of the Brazilian General Data Protection Law (LGPD) in decision-making processes and data governance within on-demand urban mobility platforms. The current landscape reveals an increasing dependence on the use of personal data by transportation applications, employed to optimize routes, pricing, and other operational decisions. In this context, the LGPD, in effect since 2020, imposes strict requirements for the processing of personal data, emphasizing user privacy, transparency, and information security. The general objective of the study is to assess the implications of the LGPD on decision-making processes and data governance in on-demand mobility platforms. The methodology is exploratory and documentary in nature, with an interdisciplinary approach that includes a literature review, documentary analysis in databases such as Web of Science and Scopus, and data collection from official company sources, anonymized for analysis. The study was structured into six phases: (1) bibliographic and bibliometric review on urban mobility, decision-making, and data protection; (2) definition of evaluation criteria for platforms; (3) selection of cases to be analyzed; (4) collection of institutional and documentary data from companies; (5) analysis of the cases regarding LGPD compliance; and (6) synthesis and discussion of the analyzed data. The results indicate that, although platforms present structured privacy policies and terms of use, there are still significant gaps in areas such as information security, incident notification, and transparency regarding data sharing with third parties. Full compliance with the LGPD remains a challenge, especially in relation to technical documentation, user consent clarity, and data processing practices. On the other hand, the legislation also fosters improvements in internal governance practices, contributing to a safer and more trustworthy environment. The study concludes that it is necessary to strengthen public policies that promote effective data governance, ensuring interoperability between private platforms and public managers, based on principles of transparency, purpose limitation, and data subject protection. Such integration should reconcile technological innovation, operational efficiency, and the safeguarding of fundamental rights, ensuring that data usage in urban mobility serves the public interest without compromising privacy.
