Data and code underlying: European High-Speed Rail Infrastructure: A network evolution approach

DOI:10.4121/314b4240-163d-406e-8498-716802c3627a.v1

The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/314b4240-163d-406e-8498-716802c3627a

Datacite citation style

Cats, Oded; Grolle, Jorik; Renzo Massobrio; Borgogno, Filippo (2025): Data and code underlying: European High-Speed Rail Infrastructure: A network evolution approach. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/314b4240-163d-406e-8498-716802c3627a.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Keywords

European rail High-speed railway Network Science transportation infrastructure

Geolocation

European Union, Switzerland, Norway, United Kingdom

Time coverage

2019

Licence

CC0

Interoperability

RO-Crate Metadata

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by Oded Cats

, Jorik Grolle

, Renzo Massobrio, Filippo Borgogno

This dataset supports the master's thesis work of Filippo Borgogno at TU Delft, titled ENGINEER (Evolutionary Network Growth model with Infrastructure and Network Effects considerations for European Rail). The research combines transport modelling and network science to explore long-term high-speed rail network development in Europe. The dataset includes input and output files used in the model, derived from publicly available official sources. Data formats include Excel, CSV, and GeoTIFF files, covering infrastructure costs, population, demand estimates, and network evolution.

History

2025-07-29 first online, published, posted

Publisher

4TU.ResearchData

Format

excel/.xlsx, python/.py

References

https://resolver.tudelft.nl/uuid:2c95aa94-039e-4539-8f61-6ae95184e1f7

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Transport, Infrastructure and Logistics

DATA

Files (31)

3,618 bytesMD5:77f5799fe0f777265d9e40c4c38ad117README.txt
22,853 bytesMD5:b9132bd6b351855f448b334234c70a840. Infrastructure - Budget Calculations.xlsx
36,352 bytesMD5:c578f5fa79161c52d954074ee7868bd00. Infrastructure - Mountain Coverage Data.xls
310,633 bytesMD5:f7ecf522e7b4b36bfd8a7a72a1478fdf0. Infrastructure - Terrain Costs Calculations.xlsx
46,943 bytesMD5:334e758e7815f4ace175a23ca9729df70. Utility - Access times Air.xlsx
46,475 bytesMD5:8db391b503f27133b276609995d1d3500. Utility - Access times Rail.xlsx
15,136 bytesMD5:92c69410416986aab09a4b692a71e4c80. Utility - CBA calulation parameters.xlsx
71,197 bytesMD5:3f9fc2914a6a9379adfba7bd885a3ee00. Utility - Egress timea Rail.xlsx
69,350 bytesMD5:38fd6121be2de0d9f085af0359065f0f0. Utility - Egress times Air.xlsx
108,068 bytesMD5:65d433ac91cf564f29aa077c3da64f2b0. Utility - Externality parameters.xlsx
49,486 bytesMD5:ab4f33f7bde95a150e3ffedaf39e4b140. Utility - Price Level index parameters.xlsx
8,763 bytesMD5:f8305338f70c92892e078f78fa738d5e0. Utility - Transport Modes parameters.xlsx
41,199 bytesMD5:8f2fb1eb6121ddb43c16a92cf02985921. Model Input.py
9,284,370 bytesMD5:c15b178603189729645024be1ea902191.1 Infrastructure Grid.xlsx
24,969,802 bytesMD5:5f9ab1328018e4cde2bd1ec9907c642d1.2 Hexagons Neighbours.xlsx
6,714,470 bytesMD5:a634da567cbb81bc73b116c12001d6e61.3 Terrain Costs.xlsx
45,171 bytesMD5:4d9ec9f3385bc1cf121d53acb0b131a51.4 Cities Data.xlsx
75,862 bytesMD5:ce3a30185ac40c16b1a6fe510f6b17801.5 HSR Links.xlsx
156,734,517 bytesMD5:b356d8b51e786a61f1116da0d74d5bcb1.6 Microscopic Layer.pkl
24,746 bytesMD5:1fc4f0f46d0360cf078aa4d6066a1d9b2. Network Initialization.py
314,738 bytesMD5:a2b23eb947672d51a6e8011b8081f7e82.1 Distance (km) per mode.xlsx
215,252 bytesMD5:285bf8624630dfcdf6abe8ac70ff3c672.2 Travel Time (h) per mode.xlsx
274,893 bytesMD5:c988c4046caaa311c0a04eb00c5fb6772.3.1 Utility (travel time) per mode.xlsx
337,643 bytesMD5:22e8651bb81f0e60cdb6273c7b1ef0b82.3.2 Utility (euro) per mode.xlsx
55,561 bytesMD5:6a4f57497244dbad04c494c947e22ca52.4 Existing HSR infrastructure Considered.xlsx
14,890 bytesMD5:962017a212c82934f1ba7444fba9e7772.5 Trips Generation.xlsx
95,218 bytesMD5:4482c6e1f03a4dbd5ed78b4ac4c10c822.6 Trip Distribution (Doubly constrained).xlsx
193,093 bytesMD5:c345be541db26ca46e050ae6f9a1c83c2.7 Mode choice (%) per mode.xlsx
51,223 bytesMD5:aa9d248e14bd559d156d22d9d20e662b2.8 Link Assignment.xlsx
46,523 bytesMD5:ce3c4d28f4d21446edab449e441986243. iterative Network Growth Model.py
24,042 bytesMD5:51abfaa8eec1261d1daaa8c57e8588d23. Network Evolution Results.xlsx
download all files (zip)
200,302,087 bytes unzipped