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Big Data and Data Visualization

Big Data

Big Data

In recent years, a solid expertise in the field of Big Data applied to mobility has been established. The network of technical and commercial partnerships allows access to diverse and constantly updated sources. Consequently, we integrate Floating Car Data, mobile phone cells, and local public transport datasets to enhance the reliability of analyses. Additionally, we use advanced algorithms that increase the accuracy of reconstructions.

The integration of sources allows for the reconstruction of Origin-Destination matrices and the description of behaviors of different user categories. At the same time, we address complex phenomena such as Park&Ride, parking occupancy rates, catchment areas, travel regularity, and network speed during peak hours. Therefore, entities and administrations can better understand the evolution of demand and define more effective operational strategies.

The processing procedures are designed to ensure transparency and replicability. Moreover, we constantly refine methodologies to increase the accuracy of analyses. In parallel, we integrate territorial data that allow for the identification of critical issues and opportunities with greater precision. Finally, we provide operational guidelines useful for defining intervention priorities, facilitating the planning of public policies.

Data Visualization

Data visualization plays a decisive role in communicating analytical results. For this reason, we translate complex datasets into intuitive and immediately interpretable representations. Additionally, we develop thematic maps, interactive dashboards, and synthetic indicators that facilitate the understanding of mobility phenomena. In this way, even non-technical users can comprehend the data more readily.

The solutions allow for the analysis of flows, speeds, congestion, travel times, and accessibility levels. At the same time, they promote more informed decision-making processes in mobility planning, urban design, and monitoring activities. Moreover, the tools are designed to adapt to the operational needs of administrations, technicians, and stakeholders, ensuring a uniform standard among alternative scenarios.

The integration between Big Data and data visualization offers a more advanced and coherent view of the analyzed phenomena. Therefore, it becomes easier to identify priorities, evaluate alternatives, and measure the impacts of strategies. Finally, this approach supports more effective interventions aligned with long-term territorial objectives, providing a solid technical foundation for decision-making processes.

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