O/D Matrix for the Emilia-Romagna Region: reconstruction of mobility demand

Objectives and context

In collaboration with Motion Analytica, we reconstructed the Origin/Destination matrices for the Emilia-Romagna region using anonymised telephone data. The objective was to provide an up-to-date and advanced knowledge framework. Furthermore, the work was essential for updating the transport model provided for in the Integrated Regional Transport Plan. Consequently, the analyses directly supported the calibration of the PRIT forecasting tools. Finally, the project has strengthened the integration between Big Data and traditional planning.

Methodology and data sources

The activities utilised datasets provided by Vodafone and Motion Analytica. Movements were reconstructed by analysing the presence of devices in mobile phone coverage areas. In addition, a dedicated methodology has been defined to transform mobility Big Data into aggregated information consistent with regional planning needs. In addition, a unified framework has been set up to integrate data from multiple days. This data was subsequently verified to ensure consistency and temporal stability.

Validation and construction of O/D matrices

Filtering and validation procedures were applied to ensure the reliability of the results. In particular, a distinction was made between movements within the Emilia-Romagna Region and exchanges with external territories. We also produced daily and hourly O/D matrices to realistically represent the main mobility behaviours. At the same time, the consistency of the data between different days was verified. Therefore, the final result provides a stable and robust snapshot of mobility flows.

Results and operational applications

The work provided a solid technical basis for updating the regional transport model. The work provided a solid technical basis for updating the regional transport model. Consequently, the Region can analyse actual demand in greater detail. In particular, this approach allows for continuous updates of mobility scenarios. Finally, it enables new regional strategies to be supported in a transparent and evidence-based manner.