Digital Business Model for the Formalization and Intelligent Management of Motorcycle Work through Artificial Intelligence in Cartagena
Abstract
The objective of the study is to assess the feasibility of implementing a digital governance platform based on artificial intelligence and data analytics, aimed at the proactive management of road safety for motorcycle workers in Locality 3 of Cartagena. Methodologically, a mixed-methods approach is adopted, integrating quantitative analysis of accident data and georeferencing with participatory qualitative techniques. Likewise, a technological architecture is designed based on computer vision, machine learning, big data systems, and secure records. The results show that the proposed model makes it possible to identify risk patterns, anticipate accidents, and improve real-time decision-making, in addition to strengthening coordination among institutional actors and users. It is concluded that the feasibility of the model depends not only on technological maturity, but also on trust, participation, and institutional coordination, positioning it as a comprehensive strategy to improve road safety in complex urban contexts.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Boris J. Batista Gómez Casseres , Oscar Recuero Hernandez, Yesid Lidueñas Batistas

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors retain copyright and grant the journal the right to publish the work under a Creative Commons Attribution License, which allows third parties to use the published content as long as they credit the author(s) and the publication in DERROTERO.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.


