Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki Region.
Sci Data
; 7(1): 77, 2020 03 04.
Article
em En
| MEDLINE
| ID: mdl-32132539
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Meios de Transporte
/
Viagem
Tipo de estudo:
Observational_studies
Limite:
Humans
País/Região como assunto:
Europa
Idioma:
En
Revista:
Sci Data
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Finlândia