Dataset

Access to public transport - FUAs

oecd/OECD.CFE.EDS/DSD_FUA_TRAN@DF_PT_ACCESS
Ask your agent

Use escrito dataset oecd/OECD.CFE.EDS/DSD_FUA_TRAN@DF_PT_ACCESS

Connect an agent at https://data.escrito.io/mcp
About

<p align="justify">This dataset provides an indicator of accessibility to public transport stops in Functional Urban Areas (FUAs). The indicator is defined as the share of the FUA population living within a specific walking travel time to the nearest public transport stop.</p> <h3>Data sources and methodology</h3> <p align="justify">The indicator uses: <ul> <li>public transport stops' location from General Transit Feed Specification (GTFS) data;</li> <li>OpenStreetMap (OSM) road network data;</li> <li>the <a href="https://github.com/conveyal/r5">R5 routing engine</a> and its r5py Python wrapper <a href="https://doi.org/10.5281/zenodo.7060438">(Fink, C., 2022)</a>; and</li> <li>the Global Human Settlement Layer's population grid for 2020 <a href="https://doi.org/10.2905/2FF68A52-5B5B-4A22-8F40-C41DA8332CFE">(Schiavina, M. et al., 2023)</a>.</li> </ul> A detailed description of the methodology and data sources can be found in the <a href="https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en/full-report/methodologies_b841d611.html#section-d1e26384-2fdc5c3ec1">annex</a> of <a href="https://doi.org/10.1787/f42db3bf-en">Regions and Cities at a Glance 2024</a>. </p> <h3>Defining FUAs and cities</h3> <p align="justify">The OECD, in cooperation with the EU, has developed a harmonised <a href="https://www.oecd.org/en/data/datasets/oecd-definition-of-cities-and-functional-urban-areas.html">definition of functional urban areas</a> (FUAs) to capture the economic and functional reach of cities based on daily commuting patterns <a href=https://doi.org/10.1787/9789264174108-en>(OECD, 2012)</a>. FUAs consist of: <ol> <li><b>A city</b> – defined by urban centres in the degree of urbanisation, adapted to the closest local administrative units to define a city.</li> <li><b>A commuting zone</b> – including all local areas where at least 15% of employed residents work in the city.</li> </ol> The delineation process includes: <ul> <li>Assigning municipalities surrounded by a single FUA to that FUA.</li> <li>Excluding non-contiguous municipalities.</li> </ul> The definition identifies 1 285 FUAs and 1 402 cities in all OECD member countries except Costa Rica and three accession countries.</p> <h3>Cite this dataset</h3> <p>OECD Regions, cities and local areas database (<a href="http://data-explorer.oecd.org/s/1db">Access to public transport - FUAs</a>), <a href=http://oe.cd/geostats>http://oe.cd/geostats</a></p> <h3>Further information</h3> <ul> <li> <a href=https://localdataportal.oecd.org/>OECD Local Data Portal </a> </li> <li> <a href=https://www.oecd.org/en/publications/oecd-regions-and-cities-at-a-glance-2024_f42db3bf-en.html/>OECD Regions and Cities at a Glance </a> </li> </ul> <p align="justify">For questions and/or comments, please email <a href="mailto:CitiesStat@oecd.org">CitiesStat@oecd.org</a>

Cite as: OECD, Access to public transport - FUAs (OECD.CFE.EDS:DSD_FUA_TRAN@DF_PT_ACCESS).

Publisher
OECD
Tier
Official
Covers
not stated
Places
OECD member and partner countries
Updated
irregular
Last modified
not stated
Units
not stated
License
Creative Commons Attribution 4.0 International

Columns

NameTypeDescription
REF_AREAtext
FREQtext
MEASUREtext
UNIT_MEASUREtext
TRAN_MODEtext
TERRITORIAL_LEVELtext
TRAVEL_TIMEtext
SERVICEtext
TIME_PERIODtext
OBS_VALUEnumber
OBS_STATUStext
UNIT_MULTtext
DECIMALStext

Dimensions

NameValues
REF_AREA
FREQ
MEASURE
UNIT_MEASURE
TRAN_MODE
TERRITORIAL_LEVEL
TRAVEL_TIME
SERVICE

All datasets