Helsinki Region Travel Times and Distances by Mode, 2018-2023

13,231 grid centroids form a travel time matrix for the Helsinki metropolitan area, covering walking, cycling, public transport, and private car routes. The dataset, created by Christoph Fink at the University of Helsinki, includes travel times and distances, with routes calculated for different times of day and physical abilities. Data is available in multiple formats including CSV and GeoPackage for use in various software environments.

Use Cases

• Modeling urban accessibility based on multi-modal travel times between grid centroids.
• Analyzing public transport efficiency based on routes calculated for different times of day.
• Planning cycling infrastructure based on cycling speed and distance data.
• Comparing private car and public transport travel times for congestion studies.

Strengths

• Covers 13,231 grid centroids across four municipalities (Helsinki, Espoo, Kauniainen, Vantaa).
• Includes four travel modes (walking, cycling, public transport, private car) and accounts for different times of day.
• Data is provided in multiple interoperable formats (CSV, GeoPackage) suitable for different analysis tools.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale processing.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Helsinki

Collection Method

Calculated routes between grid centroids for different modes and conditions.

Time Range

2018-2023

Geography

Helsinki metropolitan area, Finland (municipalities of Helsinki, Espoo, Kauniainen, Vantaa)