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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.17954106 |
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Table of Contents:
- <p>This dataset complements the Scopus Dataset of Co-Affiliation Metadata for Research Publications in Austria (2013–2023) (10.5281/zenodo.17953805) by providing travel-time estimates between institutional affiliations.</p> <p>Travel times between affiliation pairs were calculated using a two-step approach:</p> <ol> <li> <p>Geocoding: All affiliation addresses were converted to geographic coordinates in the World Geodetic System 1984 (WGS 84) reference frame using the Python geopy library.</p> </li> <li> <p>Routing: A local instance of the open-source Valhalla routing engine, which leverages OpenStreetMap data, was used to compute travel times between each affiliation pair.</p> </li> </ol> <p>Dataset structure:</p> <ul> <li> <p><code>affiliation_id_from</code>: ID of the origin affiliation</p> </li> <li> <p><code>affiliation_id_to</code>: ID of the destination affiliation</p> </li> <li> <p><code>distance_m</code>: Geodesic distance between affiliations (meters)</p> </li> <li> <p><code>duration_s</code>: Estimated travel time between affiliations (seconds)</p> </li> </ul> <p> </p>