34 datasets found
  1. Annual bus statistics: year ending March 2021

    • gov.uk
    Updated Nov 3, 2021
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    Department for Transport (2021). Annual bus statistics: year ending March 2021 [Dataset]. https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2021
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    Dataset updated
    Nov 3, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Local bus statistics in Great Britain, including passengers, mileage and vehicle fleet, for the year ending March 2021.

    The summary relates only to England to match the coverage of the Department for Transport bus policy, but the tables also cover Scotland and Wales.

    In the year ending March 2021, the number of bus passenger journeys:

    • decreased by 61% in England
    • decreased by 59% in London
    • decreased by 64% in England outside of London

    In the year ending March 2021, bus service mileage:

    • decreased by 16% in England
    • decreased by 2% in London
    • decreased by 21% in England outside of London

    At March 2021, 99% of buses in England had the accessibility certificate which were required for all buses operating local services by 2017 at the latest.

    This publication covers the year to 31 March 2021, which includes periods during which movement restrictions were in place due to the coronavirus (COVID-19) pandemic. The collection of passenger data is not granular enough to distinguish numbers of passenger journeys at different points during this period. An indication of changes in bus passenger volume during this period can be found in the separate weekly release covering transport use during the coronavirus (COVID-19) pandemic.

    Contact us

    Bus statistics

    Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk

    Media enquiries 0300 7777 878

  2. Haulier coronavirus testing statistics

    • findtransportdata.dft.gov.uk
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    Department for Transport (DfT), Haulier coronavirus testing statistics [Dataset]. https://findtransportdata.dft.gov.uk/dataset/haulier-coronavirus-testing-statistics-18bec83320a
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    Dataset provided by
    Department for Transporthttps://gov.uk/dft
    Authors
    Department for Transport (DfT)
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Haulier coronavirus testing, Great Britain, since 23 December 2020. Dataset has now been discontinued since 02/03/2022.

  3. Quarterly bus statistics: April to June 2021

    • s3.amazonaws.com
    • gov.uk
    Updated Sep 28, 2021
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    Department for Transport (2021). Quarterly bus statistics: April to June 2021 [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/175/1755439.html
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    Dataset updated
    Sep 28, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Statistics on the number of local bus:

    • passenger journeys
    • fares

    in Great Britain.

    For the year ending June 2021, the number of local bus passenger journeys in:

    • England was 1.98 billion, a 38% decrease
    • London decreased by 36%
    • England outside London decreased by 41%

    Comparing local bus passenger journeys for April to June 2021 to April to June 2020, we see:

    • a 219% increase in England
    • London increased by 204%
    • England outside London increased by 239%
    • Scotland increased by 237%
    • Wales increased by 216%

    The local bus fares index increased by 1.5% in England between June 2020 and June 2021.

    For other areas, the local bus fares index change was a:

    • 3.3% increase in London
    • 0.2% increase in metropolitan areas
    • 0.4% increase in non-metropolitan areas
    • 0.3% in Scotland
    • 0.0% in Wales

    The Consumer Price Index (CPI) increased by 2.5% over the same 12-month period.

    This publication covers April to June 2021, which coincides with the application of movement restrictions due to COVID-19 in Great Britain. The collection of passenger data is not granular enough to distinguish numbers of passenger journeys before and after restrictions were announced. An indication of changes in bus passenger volume during this period can be found in the separate weekly release covering transport use during the coronavirus (COVID-19) pandemic.

    Contact us

    Bus statistics

    Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk

    Public enquiries 020 7082 6602

    Media enquiries 020 7944 3021

  4. Travel time measures for the Strategic Road Network and local ‘A’ roads:...

    • gov.uk
    • s3.amazonaws.com
    Updated Feb 25, 2021
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    Department for Transport (2021). Travel time measures for the Strategic Road Network and local ‘A’ roads: January to December 2020 [Dataset]. https://www.gov.uk/government/statistics/travel-time-measures-for-the-strategic-road-network-and-local-a-roads-january-to-december-2020
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    Dataset updated
    Feb 25, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Explore the interactive maps showing the average delay and average speed on the Strategic Road Network and Local ‘A’ Roads in England, in 2020.

    Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">Analysis on the impact of the Coronavirus (COVID-19) pandemic on the road journeys is also available. This story map contains charts and interactive maps for road journeys in England.

    On the Strategic Road Network (SRN) for 2020, the average delay is estimated to be 6.7 seconds per vehicle per mile compared to speed limits travel times, a 29.5% decrease compared to 2019.

    The average speed is estimated to be 61.8mph, 5.1% up on 2019.

    In 2020, on average 42.1% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 25.2 percentage points compared to 2019, so on average a lower proportion of additional time is required.

    On local ‘A’ roads for 2020, the average delay is estimated to be 33.9 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 22.8% on 2019.

    The average speed is estimated to be 27.3 mph. This is an increase of 8.2% on 2019.

    Please note a break in the statistical time series for local ‘A’ roads travel times has been highlighted beginning January 2019.

    Please note that figures for the SRN and local ‘A’ roads are not directly comparable.

    The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. While values had previously been moving towards their pre-lockdown levels, this trend appears to have reversed in the months following September 2020.

    Contact us

    Road congestion and travel times

    Email mailto:congestion.stats@dft.gov.uk">congestion.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  5. National Travel Attitudes Study: Wave 4 (final)

    • gov.uk
    Updated Jan 28, 2021
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    Department for Transport (2021). National Travel Attitudes Study: Wave 4 (final) [Dataset]. https://www.gov.uk/government/statistics/national-travel-attitudes-study-wave-4-final
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    Dataset updated
    Jan 28, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Statistics on attitudes around travel and transport issues during the coronavirus (COVID-19) pandemic, asked of people who have completed the main National Travel Survey.

    Questions in Wave 4 were put to 5,299 individuals and includes responses on a wide array of topics, including:

    • travel behaviour during the coronavirus (COVID-19) pandemic
    • concerns about transport
    • changes in travel behaviour
    • compliance with regulations
    • leisure and holidays

    At least 34% of respondents who travel by walking or cycling reported an increase in these modes.

    Between May and July, people reported 59% less trips to visit family and friends than in the same period in 2019. During August and September, trips to visit family and friends were down 36% compared to 2019.

    Between May and September, people reported going out for exercise more than twice as often compared to before the coronavirus pandemic.

    Contact us

    National Travel Survey statistics

    Email mailto:national.travelsurvey@dft.gov.uk">national.travelsurvey@dft.gov.uk

  6. Road freight statistics: July 2019 to June 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Jan 26, 2021
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    Department for Transport (2021). Road freight statistics: July 2019 to June 2020 [Dataset]. https://www.gov.uk/government/statistics/road-freight-statistics-july-2019-to-june-2020
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    Dataset updated
    Jan 26, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Statistics on road freight transported by Great Britain and UK registered Heavy Goods Vehicles (HGVs) in the United Kingdom and internationally from July 2019 to June 2020.

    Domestic road freight activity by Great Britain registered HGVs operating in the UK decreased in the 12-month period ending June 2020 compared to the 12-month period ending June 2019.

    The amount of goods:

    • lifted decreased by 8% to 1.3 billion tonnes
    • moved decreased by 10% to 140 billion tonne kilometres

    International road freight activity by UK-registered HGVs transporting freight internationally decreased in the 12-month period ending June 2020 compared to the 12-month period ending June 2019.

    The amount of goods:

    • lifted decreased by 23% to 7.0 million tonnes
    • moved decreased by 26% to 4.2 billion tonne kilometres

    These statistics cover the period following the government’s announcement of measures to limit the impact and transmission of the coronavirus (COVID-19) pandemic. In early March 2020 the UK government set out four phases in its response to the coronavirus pandemic. The evolving situation may have also impacted the activity of road goods vehicles prior to this stage. Coronavirus has had a wide impact on UK society and economic activity since March 2020.

    As these data are affected by the coronavirus pandemic, caution should be taken when interpreting these data and comparing them with previous time periods.

    Contact us

    Road freight statistics

    Email mailto:roadfreight.stats@dft.gov.uk">roadfreight.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  7. Travel time measures for the Strategic Road Network and local ‘A’ roads:...

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 3, 2020
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    Department for Transport (2020). Travel time measures for the Strategic Road Network and local ‘A’ roads: October 2019 to September 2020 [Dataset]. https://www.gov.uk/government/statistics/travel-time-measures-for-the-strategic-road-network-and-local-a-roads-october-2019-to-september-2020
    Explore at:
    Dataset updated
    Dec 3, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    On the Strategic Road Network (SRN) for the year ending September 2020, the average delay is estimated to be 7.8 seconds per vehicle per mile compared to speed limits travel times, a 17.0% decrease compared to the year up to September 2019.

    The average speed is estimated to be 60.6 mph, 2.9% up on the year ending September 2019.

    In the year to September 2020, on average 52.5% of additional time was needed compared to speed limits travel times, on individual road sections of the SRN to ensure on time arrival. This is down 14.3 percentage points compared to the year ending September 2019, so on average a lower proportion of additional time is required.

    On local ‘A’ roads for the year ending September 2020, the average delay is estimated to be 36.6 seconds per vehicle per mile compared to free flow travel times. This is a decrease of 16.1% on the year ending September 2019.

    The average speed is estimated to be 26.6 mph. This is an increase of 5.1% on the year ending September 2019.

    Please note a break in the statistical time series for local ‘A’ roads travel times has been highlighted beginning January 2019.

    Please note that figures for the SRN and local ‘A’ roads are not directly comparable.

    The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. Although values for the speed and delay statistics are gradually returning towards their pre-lockdown values, they remain markedly different than historical trends.

    Contact us

    Road congestion and travel times

    Email mailto:congestion.stats@dft.gov.uk">congestion.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  8. d

    Replication data for Study of a series of ligands used as inhibitors of the...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Morales-Bayuelo, Alejandro (2023). Replication data for Study of a series of ligands used as inhibitors of the SARS-CoV-2 virus [Dataset]. https://search.dataone.org/view/sha256%3A7878bf3ed4d88dca06cb02994d03d6716da46f03cafbaa7285c6070832f057f8
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Morales-Bayuelo, Alejandro
    Description

    A coronavirus identified in 2019, SARS-CoV-2, has caused a respiratory illness pandemic called COVID-19. Most people with COVID-19 experience moderate to mild symptoms and do not need special treatments to recover. The SARS-CoV-2 RNA-dependent RNA polymerase (RdRp) has a crucial part in the virus cycle. The active site of the RdRp is a highly accessible area, so focusing on this region to investigate the inhibition of viral replication is an effective therapeutic strategy. The use of pre-existing drugs for the new coronavirus has been proposed by scientists around the world. However, its effectiveness is relatively limited. Other researchers have described the use of available antiviral compounds to reduce the cost and time of new drug development. Therefore, a number of ligands used as SARS-CoV-2 inhibitors have been selected in this study, such as: Darunavir (Daru), Dolutegravir (Dolu), Dexamethasona (Dexame), Ganciclovir (Gan), Fosamprenavir (Fosam), Lopinavir (Lop), Insoine (Inso), Tipranavir (Tipra) and Ritonavir (Rito). These ligands have been analysed by molecular docking and molecular quantum similarity, using several similarity indices such as Coulomb, overlap and Euclidean distances. The results have been supported by chemical reactivity indices defined in the conceptual-density functional theory framework. The main stabilising interactions in the crystal structure of the SARS-CoV-2 RNA-dependent RNA polymerase have been identified in this study. In this sense, this study contributes new insights about these ligands that can be used in the development of new COVID-19 treatments.

  9. f

    Data from: Potential inhibitors of angiotensin converting enzyme 2 receptor...

    • tandf.figshare.com
    docx
    Updated Jun 3, 2023
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    Fouzia Mesli; Meriem Ghalem; Ismail Daoud; Said Ghalem (2023). Potential inhibitors of angiotensin converting enzyme 2 receptor of COVID-19 by Corchorus olitorius Linn using docking, molecular dynamics, conceptual DFT investigation and pharmacophore mapping [Dataset]. http://doi.org/10.6084/m9.figshare.14206589.v1
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Fouzia Mesli; Meriem Ghalem; Ismail Daoud; Said Ghalem
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A novel coronavirus, previously designated 2019-nCoV, was identified as the cause of a cluster of pneumonia cases in Wuhan, a city in the Hubei Province of China, at the end of 2019. Our objective focuses on the in silico study to screen for an alternative drug that can block the activity of the angiotensin converting enzyme 2 (ACE2), which is a key protein in the physiology of Covid-19, necessary for the entry of the SARS-Cov-2 virus into the host's cells using natural compounds especially phenolic antioxidants, polyphenolics and pharmaceutically phytochemicals derived from the leaves of Corchorus olitorius Linn, appear to be very potential in controlling virus-induced infection. The results of the docking simulation revealed that méthyl-1,4,5-tri-O-caféoyl quinate has a stronger bond, high affinity and gives the best docking scores compared to, the co-crystallized inhibitor (PRD_002214) of the enzyme ACE2, chloroquine, hydroxychloroquine, captopril and simerprevir antiviral drugs. The ADMET properties, Pharmacokinetics and Medicinal Chemistry & P450 site of metabolism prediction, pharmacophore Mapper enzyme revealed that the compound méthyl-1,4,5-tri-O-caféoyl quinate generates a hypothesis which can be applied successfully in biological screening for further experiments. The novel MD computational technique study showed better conformational movements result for the méthyl-1,4,5-tri-O-caféoyl quinate-ACE2 docked complex. Therefore méthyl-1,4,5-tri-O-caféoyl quinate may be considered to be potential inhibitor of the main protease enzyme of virus, but need to be investigated in vivo and in vitro for further drug development process. Communicated by Ramaswamy H. Sarma

  10. Road traffic for Great Britain

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jun 4, 2021
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    Office for National Statistics (2021). Road traffic for Great Britain [Dataset]. https://www.ons.gov.uk/economy/economicoutputandproductivity/output/datasets/roadtrafficforgreatbritain
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    xlsxAvailable download formats
    Dataset updated
    Jun 4, 2021
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Experimental estimates to monitor the use of the transport system during the coronavirus (COVID-19) pandemic using Department for Transport (DfT) data.

  11. Vehicle licensing statistics: July to September 2020

    • gov.uk
    • s3.amazonaws.com
    Updated Dec 9, 2020
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    Vehicle licensing statistics: July to September 2020 [Dataset]. https://www.gov.uk/government/statistics/vehicle-licensing-statistics-july-to-september-2020
    Explore at:
    Dataset updated
    Dec 9, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Statistics on motor vehicles that were registered for the first time during July to September 2020 and those that were licensed at the end of September 2020.

    Recent trends in new vehicle registrations have been heavily affected by the measures implemented from March 2020 onwards to limit the impact of the coronavirus (COVID-19) pandemic.

    During July to September 2020, there were:

    • 755,000 vehicles registered for the first time in Great Britain
    • 59,057 ultra low emission vehicles registered for the first time in Great Britain

    At the end of September 2020, there were:

    • 38.8 million licensed vehicles in Great Britain

    Contact us

    Vehicles statistics

    Email mailto:vehicles.stats@dft.gov.uk">vehicles.stats@dft.gov.uk

  12. f

    Data from: Exploring the Spike-hACE 2 Residue–Residue Interaction in Human...

    • acs.figshare.com
    zip
    Updated Jun 2, 2023
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    José X. Lima Neto; Davi S. Vieira; Jones de Andrade; Umberto Laino Fulco (2023). Exploring the Spike-hACE 2 Residue–Residue Interaction in Human Coronaviruses SARS-CoV-2, SARS-CoV, and HCoV-NL63 [Dataset]. http://doi.org/10.1021/acs.jcim.1c01544.s002
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    zipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    ACS Publications
    Authors
    José X. Lima Neto; Davi S. Vieira; Jones de Andrade; Umberto Laino Fulco
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Coronaviruses (CoVs) have been responsible for three major outbreaks since the beginning of the 21st century, and the emergence of the recent COVID-19 pandemic has resulted in considerable efforts to design new therapies against coronaviruses. Thus, it is crucial to understand the structural features of their major proteins related to the virus–host interaction. Several studies have shown that from the seven known CoV human pathogens, three of them use the human Angiotensin-Converting Enzyme 2 (hACE-2) to mediate their host’s cell entry: SARS-CoV-2, SARS-CoV, and HCoV-NL63. Therefore, we employed quantum biochemistry techniques within the density function theory (DFT) framework and the molecular fragmentation with conjugate caps (MFCC) approach to analyze the interactions between the hACE-2 and the spike protein-RBD of the three CoVs in order to map the hot-spot residues that form the recognition surface for these complexes and define the similarities and differences in the interaction scenario. The total interaction energy evaluated showed a good agreement with the experimental binding affinity order: SARS-2 > SARS > NL63. A detailed investigation revealed the energetically most relevant regions of hACE-2 and the spike protein for each complex, as well as the key residue–residue interactions. Our results provide valuable information to deeply understand the structural behavior and binding site characteristics that could help to develop antiviral therapeutics that inhibit protein–protein interactions between CoVs S protein and hACE-2.

  13. Travel time measures for the Strategic Road Network and local ‘A’ roads:...

    • gov.uk
    Updated Jun 29, 2022
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    Department for Transport (2022). Travel time measures for the Strategic Road Network and local ‘A’ roads: April 2021 to March 2022 [Dataset]. https://www.gov.uk/government/statistics/travel-time-measures-for-the-strategic-road-network-and-local-a-roads-april-2021-to-march-2022
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    Dataset updated
    Jun 29, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    On the Strategic Road Network (SRN) for year ending March 2022, the average delay is estimated to be 8.8 seconds per vehicle per mile (spvpm), compared to free flow, a 31.3% increase on the previous year.

    The average speed is estimated to be 58.6 mph, down 3.5% from year ending March 2021.

    On local ‘A’ roads for year ending March 2022, the average delay is estimated to be 47.7 spvpm compared to free flow.

    The average speed is estimated to be 23.8 mph.

    Please note that figures for the SRN and local ‘A’ roads are not directly comparable.

    The Department for Transport (DfT) went through an open procurement exercise and have changed GPS data providers. This led to a step change in the statistics and inability to compare the local ‘A’ roads data historically. These changes are discussed in the methodology notes.

    The outbreak of coronavirus (COVID-19) has had a marked impact on everyday life, including on congestion on the road network. As these data are affected by the coronavirus pandemic in the UK, caution should be taken when interpreting these statistics and comparing them with previous time periods. Additional http://bit.ly/COVID_Congestion_Analysis" class="govuk-link">analysis on the impact of the coronavirus pandemic on road journeys in 2020 is also available. This story map contains charts and interactive maps for road journeys in England in 2020.

    Contact us

    Road congestion and travel times

    Email mailto:congestion.stats@dft.gov.uk">congestion.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  14. Vehicle speed compliance statistics for Great Britain: October to December...

    • gov.uk
    • s3.amazonaws.com
    Updated Mar 8, 2022
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    Department for Transport (2022). Vehicle speed compliance statistics for Great Britain: October to December 2021 [Dataset]. https://www.gov.uk/government/statistics/vehicle-speed-compliance-statistics-for-great-britain-october-to-december-2021
    Explore at:
    Dataset updated
    Mar 8, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Area covered
    United Kingdom
    Description

    These quarterly statistics have been produced in addition to the regular annual statistics, to provide more timely information on compliance with speed limits during the coronavirus (COVID-19) pandemic.

    As effects of the pandemic on speed limit compliance have reduced, this release is the last in the quarterly series.

    They provide insight into the speeds at which drivers choose to travel and their compliance with speed limits under free flow conditions but should not be taken as estimates of actual compliance or actual average speed across the wider road network.

    Long-term trends in vehicle speed limit compliance have usually been stable over time. Without coronavirus, we would have expected this to continue.

    In October to December 2021:

    • the proportion of cars exceeding the speed limit was lower than October to December 2020 and 2019
    • 42% of cars exceeded the limit on motorways
    • 9% of cars exceeded the limit on national speed limit single carriageways
    • 50% of cars exceeded the limit on 30mph roads

    January 2021 saw England enter a third national lockdown and Scotland a second national lockdown while Wales continued its third national lockdown, which had begun in December 2020. These lockdowns significantly reduced daily traffic levels, however, traffic levels remained higher than those seen in April to June 2020.

    By June 2021, overall road traffic levels had returned to levels close to those seen before the pandemic. During October to December 2021, these levels were comparable to those seen before the pandemic.

    Contact us

    Road traffic and vehicle speed compliance statistics

    Email mailto:roadtraff.stats@dft.gov.uk">roadtraff.stats@dft.gov.uk

    Media enquiries 0300 7777 878

  15. c

    International Passenger Survey: Quarter 1, 2020

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 29, 2024
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    Office for National Statistics (2024). International Passenger Survey: Quarter 1, 2020 [Dataset]. http://doi.org/10.5255/UKDA-SN-8661-1
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    Dataset updated
    Nov 29, 2024
    Authors
    Office for National Statistics
    Time period covered
    Jan 1, 2020 - Mar 31, 2020
    Area covered
    United Kingdom
    Variables measured
    Individuals, National
    Measurement technique
    Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The International Passenger Survey (IPS) aims to collect data on both credits and debits for the travel account of the Balance of Payments, provide detailed visit information on overseas visitors to the United Kingdom (UK) for tourism policy, and collect data on international migration.

    International Passenger Survey and COVID-19
    The Office for National Statistics notes that International Passenger Survey (IPS) interviewing was suspended on 16 March 2020 because of the coronavirus (COVID-19). It is not certain when it will resume.

    Travel and tourism estimates for Quarter 1 (Jan to Mar) 2020 have been published to make the best possible use of the available data. The ONS expect that publishable estimates for March 2020 can be produced using the data collected up to 16 March 2020. The data available from UKDS covers Quarter 1 2020 with four subject areas, termed 'Airmiles', 'Alcohol', 'Qregtown' and 'Qcontact'. These files can be joined together using the variables YEAR, SERIAL, FLOW and QUARTER.

    No IPS data will be collected for the period when the survey is not operational, and the usual travel and tourism outputs from the IPS will not be published for this period. However, the IPS team will publish information to help users to understand trends in total international travel, based on the available administrative data from the Civil Aviation Authority (CAA) and the Department for Transport (DfT). This will provide figures on numbers of international journeys arriving into and departing from the UK, but there will be no information about the characteristics of these passengers.

    Further information can be found on the ONS Travel Trends webpage.


    Main Topics:

    Each of the four subject areas covers different topics:

    • 'Airmiles': quarter; flow; serial; UK port or route; direct leg overseas port; final overseas port; distance from UK port to first port; from first to second port; from UK port to second port
    • 'Alcohol': year; quarter; month; flow; serial; money spent on spirits; wine; beer; champagne; cigarettes; hand-rolled and other tobacco
    • 'Qreg': year; quarter; month; flow; serial; towns stayed in overnight; details of type of accommodation; number of nights spent in towns; expenditure in towns; regional stay weight; regional visit weight; regional expenditure weight; various validation checks
    • 'Qcontact': year; quarter; month; flow; serial; nationality; country of visit/residence; UK counties; date visit began; purpose of visit; intended length of stay; number of people; package tour and cost; expenditure pre-, post- and during visit; flight prefix and suffix; first carrier air or shipping line; direct leg overseas port; final overseas port; long- or short-haul; type of vehicle; number travelling in vehicle; fare type and cost; class of travel; business trip; type of flight; flight origin or destination; gender; age group; UK port or route; quality of response; date of interview; money transfer, net and total expenditure; type of transport; arrivals (number of adults); departures (type of travelling group, number of adults and children); weighting variables; various validation checks

  16. Transport: disability and accessibility statistics, England: 2020

    • gov.uk
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    Updated Sep 22, 2021
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    Department for Transport (2021). Transport: disability and accessibility statistics, England: 2020 [Dataset]. https://www.gov.uk/government/statistics/transport-disability-and-accessibility-statistics-england-2020
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    Dataset updated
    Sep 22, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Area covered
    England
    Description

    The analysis of the National Travel Survey for 2020 shows disabled adults (aged 16 years and over) in England:

    • made on average 28% fewer trips
    • travelled 44% fewer miles than non-disabled adults

    Both disabled and non-disabled adults rely predominantly on car travel. It accounts for around 3 in 5 trips for both groups. However, around a third of the trips made by disabled adults where car was the main mode were as a passenger, whereas for non-disabled adults around a fifth were as a passenger.

    The statistics in this release have been impacted by the national restrictions implemented from March 2020 onwards in response to the coronavirus (COVID-19) pandemic.

    Contact us

    Transport: disability, accessibility and blue badge statistics

    Email mailto:localtransport.statistics@dft.gov.uk">localtransport.statistics@dft.gov.uk

    Media enquiries 0300 7777 878

  17. Light rail and tram statistics, England: year ending March 2022

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    Updated Aug 24, 2022
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    Department for Transport (2022). Light rail and tram statistics, England: year ending March 2022 [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/183/1832239.html
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    Dataset updated
    Aug 24, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Area covered
    England
    Description

    The statistics are collected annually to inform the development and monitoring of light rail policy. Figures present information on usage, infrastructure and revenue for the 8 systems which are urban and primarily surface-running.

    In the financial year ending March 2022:

    • light rail and tram use in England increased by 109.9% from the year ending March 2021, up to 171.5 million passenger journeys
    • a 147.4% increase in passenger journeys in England (outside London) and an 87.7% increase in London

    When comparing to the financial year ending March 2021:

    • vehicle mileage increased by 7.7% to 20.9 million miles
    • light rail revenue increased by 91.8%

    The coronavirus (COVID-19) pandemic has had an impact on every aspect of life in the United Kingdom, which has affected almost all statistical trends across the transport sector. The impact of the pandemic on the number of light rail and tram passenger journeys has been less marked in the year ending March 2022 than the previous year ending March 2021, due to there being less restrictions on movement and activities during this period.

    Contact us

    Bus statistics

    Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk

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  18. Road traffic estimates in Great Britain: 2020

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    • gov.uk
    Updated Apr 28, 2021
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    Department for Transport (2021). Road traffic estimates in Great Britain: 2020 [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/171/1716944.html
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    Dataset updated
    Apr 28, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Area covered
    Great Britain, United Kingdom
    Description

    Estimates of road traffic by:

    • vehicle type
    • road type
    • geographical region

    in Great Britain for the year 2020.

    Road traffic trends during 2020 have been affected by the coronavirus (COVID-19) pandemic in the UK. Motor vehicle traffic on Great Britain roads decreased by 21.3% between 2019 and 2020, to 280.5 billion vehicle miles.

    When compared to the year 2019:

    • car traffic decreased by 24.7%
    • the figure of 209.6 billion vehicle miles was the lowest annual estimate in the last 29 years.
    • van traffic fell by 9.1%
    • lorry traffic fell by 5.7%
    • traffic on the Strategic Road Network decreased by 25.1%
    • motorway traffic decreased by 25.3%.
    • ‘A’ roads saw a 23.2% decrease in traffic
    • minor road traffic decreased by 17.2%

    Contact us

    Road traffic and vehicle speed compliance statistics

    Email mailto:roadtraff.stats@dft.gov.uk">roadtraff.stats@dft.gov.uk

    Public enquiries 020 7944 3095

  19. c

    National Travel Survey, 2002-2023

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Department for Transport (2024). National Travel Survey, 2002-2023 [Dataset]. http://doi.org/10.5255/UKDA-SN-5340-14
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    Dataset updated
    Nov 28, 2024
    Dataset authored and provided by
    Department for Transport
    Time period covered
    Jan 1, 2002 - Dec 31, 2023
    Area covered
    Great Britain, England
    Variables measured
    Families/households, National
    Measurement technique
    Telephone interview, Diaries, Face-to-face interview, Self-completion
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The National Travel Survey (NTS) is a series of household surveys designed to provide regular, up-to-date data on personal travel and monitor changes in travel behaviour over time. The first NTS was commissioned by the Ministry of Transport in 1965. Further periodic surveys were carried out in 1972/73, 1975/76, 1978/79 and 1985/86 (the UK Data Service holds data from 1972 onwards). Since July 1988 the NTS has been carried out as a continuous survey with field work being carried out in every month of the year, and an annual set sample of over 5,000 addresses. From 2002, the NTS sample was increased approximately threefold, to approximately 15,000 per year. The advantage of the continuous study is that users will be able to discern seasonal and cyclical movements as well as trend changes over time. The NTS is carried out primarily for the purposes of government. The most fundamental use of the National Travel Survey within the Department for Transport (DfT) is as core base data for key transport models. These are critical to the assessment and appraisal of transport scheme proposals (national and local), transport policy proposals, and contribute to the development of our long-term strategy. The NTS data is used to develop consistent sets of transport policies. Because it relates travel to travellers, it makes it possible to relate policies to people and to predict their impact. The survey provides detailed information on different types of travel: where people travel from and to, distance, purpose and mode. The NTS records personal and socio-economic information to distinguish between different types of people, and the differences in the way they travel and how often they do so. The NTS is the only source of national information on subjects such as walking which provide a context for the results of more local studies.

    Further information may be found on the gov.uk National Travel Survey webpage.

    End-User Licence, Special Licence and Secure Access NTS data
    The UK Data Archive holds three versions of the NTS:
    • the End User Licence (EUL) versions (SNs 5340 and 6108) contain a comprehensive range of NTS data at Government Office Region geographic level and should be sufficient for most research needs. EUL data are available to registered users of the UK Data Service (see the Administrative and Access section below for details).
    • The Special Licence versions (SNs 7553 and 7804) contain more detailed travel (including accidents), demographic and socio-economic data, and the geographic level is Local Authority/Unitary Authority. Special Licence data are subject to more restricted access conditions.
    • The Secure Access version (SN 7559) contains more detailed information and postcode sector geographies. Secure Access data are subject to further restricted access conditions, including the completion of a training course.
    Full information about the variables contained at each level are available in the NTS Table Structures spreadsheet, available in the documentation.


    Changes to the methodology in 2002 mean that there are some inconsistencies with data for previous years. Most notably, an under-recording of short walks in 2002 and 2003 affects trends over this period, particularly in the number of trips per person.

    2020 and 2021 Disclaimer:
    Due to changes in the methodology of data collection, changes in travel behaviour, and a reduction of data collected during 2020 and 2021 as a result of the coronavirus (COVID-19) pandemic, care should be taken when interpreting this data and comparing it to other years due to the small sample sizes. Please see the background documentation for further details of these changes.

    Latest edition information:
    For the eighteenth edition (September 2024), data and documentation for 2023 have been added to the study.

    Data labels
    Users should note that the SPSS and Stata files for 2023 have been converted from CSV format and do not currently contain variable or value labels. Complete metadata information can be found in the Excel Lookup table files and the NTS Data Extract User Guide within the documentation.


    Main Topics:

    The NTS data includes:
    • attitudinal variables: in 2016 a split-sample experiment was conducted to explore the feasibility of moving attitudinal questions from the household level questionnaire to the individual level questionnaire. In one half of the sample, the attitudinal questions were asked as part of the household questionnaire (as has been in the case in previous years) and in the other half one randomly selected adult per household was asked the attitudinal questions;
    • household variables: address type information, accessibility of public transport, access to amenities, household vehicle access, household composition and household...

  20. Taxi and private hire vehicle statistics, England: 2022

    • gov.uk
    • s3.amazonaws.com
    Updated Jul 13, 2022
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    Department for Transport (2022). Taxi and private hire vehicle statistics, England: 2022 [Dataset]. https://www.gov.uk/government/statistics/taxi-and-private-hire-vehicle-statistics-england-2022
    Explore at:
    Dataset updated
    Jul 13, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Transport
    Description

    Statistics on taxi and private hire vehicles (PHV) in England show at end March 2022:

    • 260,700 licensed taxis and PHVs, an increase of 3.8% since 2021
    • 78% of all licensed vehicles were PHVs
    • 55% of licensed taxis were wheelchair accessible
    • all taxis in London were wheelchair accessible
    • 2% of PHVs were wheelchair accessible
    • there were 330,300 driver licences, a decrease of 3.4% since 2021
    • 65% of licences were PHV only licences
    • 12% were taxi only licences
    • 22% were dual licences

    The statistics in this release will have been impacted to some extent by the national restrictions implemented from March 2020 onwards in response to the coronavirus (COVID-19) pandemic.

    Contact us

    Taxi statistics

    Email mailto:localtransport.statistics@dft.gov.uk">localtransport.statistics@dft.gov.uk

    Media enquiries 0300 7777 878

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Department for Transport (2021). Annual bus statistics: year ending March 2021 [Dataset]. https://www.gov.uk/government/statistics/annual-bus-statistics-year-ending-march-2021
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Annual bus statistics: year ending March 2021

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 3, 2021
Dataset provided by
GOV.UKhttp://gov.uk/
Authors
Department for Transport
Description

Local bus statistics in Great Britain, including passengers, mileage and vehicle fleet, for the year ending March 2021.

The summary relates only to England to match the coverage of the Department for Transport bus policy, but the tables also cover Scotland and Wales.

In the year ending March 2021, the number of bus passenger journeys:

  • decreased by 61% in England
  • decreased by 59% in London
  • decreased by 64% in England outside of London

In the year ending March 2021, bus service mileage:

  • decreased by 16% in England
  • decreased by 2% in London
  • decreased by 21% in England outside of London

At March 2021, 99% of buses in England had the accessibility certificate which were required for all buses operating local services by 2017 at the latest.

This publication covers the year to 31 March 2021, which includes periods during which movement restrictions were in place due to the coronavirus (COVID-19) pandemic. The collection of passenger data is not granular enough to distinguish numbers of passenger journeys at different points during this period. An indication of changes in bus passenger volume during this period can be found in the separate weekly release covering transport use during the coronavirus (COVID-19) pandemic.

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Bus statistics

Email mailto:bus.statistics@dft.gov.uk">bus.statistics@dft.gov.uk

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