Targeted at the mobility and transportation sector, it has multiple applications in both the public and private domains, making it key for the development of transport plans, the analysis, and optimization of both existing and new routes.
It offers precise insights into real travel demand, and thanks to historical data analysis, it allows operations to be adapted to present and future needs with AI-based models that enable intelligent and sustainable planning.
By combining the large volume of anonymized data from Telefónica’s customer network with other sources, this solution characterizes journeys through the generation of origin-destination matrices, segmented by features such as mode of transport, trip purpose, distance, and frequency.
This allows for the identification of both complete trips and the stages that compose them. In addition, it enables sociodemographic segmentation of travelers based on age, gender, socioeconomic level, place of residence, or work.
Thanks to national coverage and the representativeness of our data sample, Mobility Insights offers both geographic and temporal aggregations, adapting to the real needs of our clients.