ArticleScientific data2020
Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki Region.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Comprehensive spatiotemporal dataset of shared bicycle operations in Xiamen China.Scientific data · 2026Article
- Exploring the interplay between population profile and optimal routes in U.S. cities.Scientific reports · 2025Article
- Revealing urban area from mobile positioning data.Scientific reports · 2024Article
- A travel time matrix data set for the Helsinki region 2023 that is sensitive to time, mode and interpersonal differences, and uses open data and novel open-source software.Scientific data · 2024Article
- Public transport accessibility indicators to urban and regional services in Great Britain.Scientific data · 2024Article
- What are patterns of rise and decline?Royal Society open science · 2023Review
- A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland.Scientific data · 2022Article
- A fine resolution dataset of accessibility under different traffic conditions in European cities.Scientific data · 2020Article
- A Review of Models Used for Investigating Barriers to Healthcare Access in Australia.International journal of environmental research and public health · 2020Review
- The green view dataset for the capital of Finland, Helsinki.Data in brief · 2020Article
- Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki Region.Scientific data · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Comparable data on spatial accessibility by different travel modes are frequently needed to understand how city regions function. Here, we present a spatial dataset called the Helsinki Region Travel Time Matrix that has been calculated for 2013, 2015 and 2018. This longitudinal dataset contains travel time and distance information between all 250 metres statistical grid cell centroids in the Capital Region of Helsinki, Finland. The dataset is multimodal and multitemporal by nature: all typical transport modes (walking, cycling, public transport, and private car) are included and calculated separately for the morning rush hour and midday for an average working day. We followed a so-called door-to-door principle, making the information between travel modes comparable. The analyses were based primarily on open data sources, and all the tools that were used to produce the data are openly available. The matrices form a time-series that can reveal the accessibility conditions within the city and allow comparisons of the changes in accessibility in the region, which support spatial planning and decision-making.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.