SOUTH TYROL: Home->work trips on tessellated roads network
FAIR Overall Score
Abstract
Projection of home->work trips in South Tyrol onto OSM drivable roads network. Roads themselves are projected onto a 250m hexagonal tessellation.
Keywords
Supplemental information
Original trips data were projected onto the 250 hexagonal tessellation driven by resident population on one side, and by employees data on the other. Top 5 hexagonal cells were kept to project the trips, amounting to max 25 projected/estimated trips for each actual trip information. Trips are then projected onto the tessellated roads dataset through a Dijkstra shortest path based on the capacity of each road segment. Python libraries used: NetworkX, GeoPandas.
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SHAPE-ZIP · SOUTH TYROL: Home->work trips on tessellated roads network charset UTF-8 · SOUTH TYROL: Home->work trips on tessellated roads network format_options=charset UTF-8 · SOUTH TYROL: Home->work trips on tessellated roads network csv · SOUTH TYROL: Home->work trips on tessellated roads network excel · SOUTH TYROL: Home->work trips on tessellated roads network gml2 · SOUTH TYROL: Home->work trips on tessellated roads network json · SOUTH TYROL: Home->work trips on tessellated roads network text xml +subtype gml 3.1.1 · SOUTH TYROL: Home->work trips on tessellated roads network image/png · SOUTH TYROL: Home->work trips on tessellated roads network image/png · SOUTH TYROL: Home->work trips on tessellated roads network image/png · SOUTH TYROL: Home->work trips on tessellated roads network image/png · SOUTH TYROL: Home->work trips on tessellated roads network application pdf · SOUTH TYROL: Home->work trips on tessellated roads network image jpeg · SOUTH TYROL: Home->work trips on tessellated roads network image png · SOUTH TYROL: Home->work trips on tessellated roads network image/png8 · SOUTH TYROL: Home->work trips on tessellated roads network
FAIR Overall Score: 77%
| Principle | Score | Earned | Level |
|---|---|---|---|
| Findable | 57% | 4 of 7 | moderate |
| Accessible | 100% | 7 of 7 | advanced |
| Interoperable | 67% | 4 of 6 | moderate |
| Reusable | 83% | 5 of 6 | moderate |
Evaluated by F-UJI web service: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400
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| 2 | maps.eurac.edu documentation | maps.eurac.edu is based on Geonode, here the link to the official documentation | Link | April 28, 2021 | Maps |