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The datasets contain calculations of betweenness and closeness on road and public transport networks at different scales (territorial, urban, and local), which are organized as follows: ped.parquetosmid: Feature ID for pedestrian graph edgehighway: Classification of the type of road [motorway, trunk, primary, secondary, tertiary, unclassified, residential, living_street, pedestrian]btw_57600_class: Measures the importance of each street segment in the network, reflecting its role in connecting other segments at a territorial scale and highlighting the key corridors that link urban systems across the territory. Calculated as graph betweenness for 48 kilometers distance equivalent to 16 hours walking time.btw_3600_class: Measures the importance of each street segment in the network, showing its role in connecting other segments at the urban scale and highlighting the key corridors that structure the city. Calculated as graph betweenness for 3 kilometers distance equivalent to 1 hour walking time.btw_900_class: Measures the importance of each street segment in the network, showing its role in connecting other segments at the local scale and highlighting the key links between urban fabrics. Calculated as graph betweenness for 750 meters distance equivalent to 15 minutes walking time.cls_57600_class: Measures the proximity of each point in the network at the national scale, highlighting the locations that are best connected to all other points across the territory. Calculated as graph closeness for 48 kilometers distance equivalent to 16 hours walking time.cls_3600_class: Measures the proximity of each point in the network at the urban scale, highlighting the locations that are best connected, therefore, most central, to all other points within the city. Calculated as graph closeness for 3 kilometers distance equivalent to 1 hour walking time.cls_900_class: Measures the proximity of each point in the network at the local scale, highlighting the locations that are most central within neighborhoods or best connected to other points within the urban fabric. Calculated as graph closeness for 750 meters distance equivalent to 15 minutes walking time.tpu.parquetnodeid: Feature ID for public transport graph nodebtw_57600_class: Measures the importance of each street segment in the network, reflecting its role in connecting other segments at a territorial scale and highlighting the key corridors that link urban systems across the territory. Calculated as graph betweenness for 48 kilometers distance equivalent to 16 hours walking time.btw_3600_class: Measures the importance of each street segment in the network, showing its role in connecting other segments at the urban scale and highlighting the key corridors that structure the city. Calculated as graph betweenness for 3 kilometers distance equivalent to 1 hour walking time.btw_900_class: Measures the importance of each street segment in the network, showing its role in connecting other segments at the local scale and highlighting the key links between urban fabrics. Calculated as graph betweenness for 750 meters distance equivalent to 15 minutes walking time.cls_57600_class: Measures the proximity of each point in the network at the national scale, highlighting the locations that are best connected to all other points across the territory. Calculated as graph closeness for 48 kilometers distance equivalent to 16 hours walking time.cls_3600_class: Measures the proximity of each point in the network at the urban scale, highlighting the locations that are best connected, therefore, most central, to all other points within the city. Calculated as graph closeness for 3 kilometers distance equivalent to 1 hour walking time.cls_900_class: Measures the proximity of each point in the network at the local scale, highlighting the locations that are most central within neighborhoods or best connected to other points within the urban fabric. Calculated as graph closeness for 750 meters distance equivalent to 15 minutes walking time.