paris_transportation — Paris Transportation (2016)
- Description
Multilayer transportation network of the Île-de-France region (Paris and its suburbs), constructed by F. Asgari and collaborators at Télécom SudParis to map sparse cellular phone trajectories onto transportation routes. It combines the road network, from the French National Geographic Institute (IGN), with the RER commuter rail, metro and tramway networks, from OpenStreetMap. Each node is a road intersection, a train station, a metro station or a tram station, and edges connect consecutive nodes along a road or line. Cross-layer edges connect nodes of different layers where a transition between transport modes is possible (e.g. between a station and a nearby road intersection). Edges marked as two-way in the source are represented by two directed edges, one in each direction, and one-way edges by a single edge from the first to the second endpoint listed in the source (the source does not distinguish one-way streets digitized against their direction of travel, so the direction of some one-way edges may be reversed). A few pairs of nodes are connected by more than one edge, and there are 3 self-loops.
The network was parsed from the upstream node and edge lists. (The upstream GraphML file is broken: there each edge connects a node to an additional node without attributes, whose identifier is the ID of the edge, because the columns of the edge list are mislabelled; the endpoints of each edge are in its first two columns, and the column labeled as the target contains the edge ID.)
The network has the following properties:
- (Node)
name: the node ID in the source data. - (Node)
type: the layer of the node, one of "road", "train", "metro" or "tram". - (Node)
lat,lon: the latitude and longitude of the node, in degrees (the corresponding columns are swapped in the source). - (Edge)
type: the layer of the edge, one of "road", "train", "metro", "tram" or "crosslayer". - (Edge)
name: the name of the road (e.g. "D1", "A86") or of the transit line (e.g. "RER A", "M7"), or "None".
- (Node)
- Tags
- Transportation Public Transport Multilayer Unweighted
- Added
- 2020-08-11
- Citation
-
- F. Asgari et al., "CT-Mapper: Mapping sparse multimodal cellular trajectories using a multilayer transportation network." Computer Communications 95, 69-81 (2016) 10.1016/j.comcom.2016.04.014 Sci-Hub
- Upstream URL OK
- https://github.com/ComplexNetTSP/MultilayerParis
- Networks
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Tip: hover over a column header for a description.
Column legend
- $\left<k\right>$
- Mean degree
- $\sigma_k$
- Standard deviation of the degrees
- $\lambda_h$
- Largest eigenvalue of the Hashimoto (non-backtracking) matrix
- $\tau$
- Random walk mixing time
- $r$
- Degree assortativity
- $c$
- Global clustering coefficient
- $\oslash$
- (Pseudo-) diameter
- $S$
- Relative size of the largest component
- NPs
- Node properties
- EPs
- Edge properties
- Ridiculograms*
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