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: 10.4121/89625b76-8ff4-45df-90ff-def3ef1986ad

Zwart, Tian (2025): Data underlying the MSc thesis: City Clustering based on topology, activity distribution, and mobility - A study on 32 European cities using K-Means, K-Medoids, and Ward's Method. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/89625b76-8ff4-45df-90ff-def3ef1986ad.v1

Categories

• Urban and Regional Planning
• Environmentally Sustainable Transport
• Other Transport
• Transport
• Built Environment and Design

Keywords

Betweenness Centrality Car Ownership Clustering Method Congestion Level Efficiency Ratio Europe European Cities K-Means K-Medoids K-Medoids, Ward's Method Mobility Modal Share Node Degree Office Density Population Density Shop Density Urban Boundaries Ward's Method

Time coverage

2020-2025

Licence

CC0

Interoperability

• RO-Crate Metadata

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by Tian Zwart

In this dataset, 17 indicators have been collected and/or calculated for 32 European cities. For certain characteristics, plots have been made and included in this dataset. Finally, the urban borders and the cluster assignments for each city are also included for reproducibility.

History

• 2025-05-23 first online, published, posted

Publisher

4TU.ResearchData

Format

image/png, polygon/geojson, sheet/xlsx

References

• https://resolver.tudelft.nl/uuid:08f45d6d-e1dd-4654-8aad-fa2e6863b814

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences