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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 7553 National Travel Survey, 2002-2024: Special Licence Access 755310.5255/UKDA-SN-7553-14 Department for Transport <a href="https://www.nationalarchives.gov.uk/information-management/re-using-public-sector-information/uk-government-licensing-framework/crown-copyright/" target="_blank">© Crown copyright</a>. The use of these data is subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">UK Data Service End User Licence Agreement</a>. Additional restrictions may also apply. Department for Transport UK Data Service 22 September 2014 ACCESS TO FACILITIESAGEAIR TRANSPORTATTITUDESBICYCLESBUSESCAR PARKING AREASCOMMUTINGCOMPANY CARSCOMPUTERSCOSTSCYCLE LANESDIARIESDISTANCE MEASUREMENTDRIVINGECONOMIC ACTIVITYEMPLOYEESETHNIC GROUPSEXPENDITUREFOSSIL FUELSFULL-TIME EMPLOYMENTHOSPITAL SERVICESHOUSEHOLDSHOUSINGHOUSING TENUREINCOMELEISURE TIMELOCAL COMMUNITY FACILITIESMEDICAL CENTRESMOTOR VEHICLESOCCUPATIONAL STATUSOCCUPATIONSPART-TIME EMPLOYMENTPETROLPETROL CONSUMPTIONPHARMACIESPHYSICAL DISABILITIESPOST OFFICESPUBLIC TRANSPORTRAILWAY STATIONSRAILWAY TRANSPORTRESIDENTIAL MOBILITYROAD VEHICLE MAINTENANCESELF-EMPLOYEDSHOPPINGSHOPSSOCIAL ACTIVITIES (LEISURE)SOCIO-ECONOMIC STATUSTRAINSTRANSPORTTRANSPORT INFRASTRUCTURETRAVELUNDERGROUND RAILWAYSUNEMPLOYEDVELOCITYWALKINGWORKPLACEBUSINESS TRIPSCARSMOTORCYCLESSTATUS IN EMPLOYMENTSATISFACTIONONLINE SHOPPINGDELIVERY SERVICESACCESS TO HEALTH SERVICESSCHOOLSSTUDENT TRANSPORTATIONSUPERVISORY STATUSTRANSPORT SAFETYPHYSICAL MOBILITYHEADS OF HOUSEHOLDMOBILITY SCOOTERS Transport and travel 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 End-User Licence data from 1972 onwards and Special Licence and Secure Access data from 2002 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 <a href="https://www.gov.uk/government/collections/national-travel-survey-statistics" title="National Travel Survey">National Travel Survey</a> webpage. End-User Licence, Special Licence and Secure Access NTS data The UK Data Archive holds three versions of the NTS:<ul><li>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).</lI><li>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.</lI><li>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.</lI></ul>Full information about the variables contained at each level are available in the NTS Table Structures spreadsheet, available in the documentation. 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 to other years, due to the small sample sizes. Please see the background documentation for further details of these changes. 2023 sample size: From January 2023 the number of households invited to take part in the National Travel Survey was increased, resulting in an increase to the sample size. For more information please see the technical report. Data labels Users should note that the SPSS and Stata files for 2024 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.Latest edition informationFor the fourteenth edition (November 2025), data and documentation for 2024 have been added to the study.Main Topics: The NTS data includes: <ul> <li>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;</li><li>household variables: address type information, accessibility of public transport, access to amenities, household vehicle access, household composition and household socio-economic information;</li><li>individual information: age, gender and marital status, social and economic information, frequency of use of various methods of transport, driving licences and type of vehicle driven, employment, occupation and industry details, income, place of work and travel to work, season ticket details, travel difficulties;</li><li>vehicle information: vehicle type, registration details, parking, fuel type, mileage, engine capacity;</li><li>trips: day, date and time, main mode, purpose, origin and destination information;</li><li>stage: mode, number in party, distance, duration, costs;</li><li>long-distance trips (over 50 miles): stage: mode, purpose, origin and destination;</li></ul> Please see the Lookup Tables documentation for the full list of variables. January 2002 - December 202401 January 200231 December 2024 Great Britain Families/householdsNational 17,851 individuals in 2002, of which 14,059 adults (16 years and over) and 3,792 children (less than 16 years); 18,876 individuals in 2003, of which 14,810 adults (16 years and over) and 4,066 children (less than 16 years); 18,506 individuals in 2004, of which 14,475 adults (16 years and over) and 4,031 children (less than 16 years); 19,402 individuals in 2005, of which 15,323 adults (16 years and over) and 4,079 children (less than 16 years); 18,945 individuals in 2006, of which 15,075 adults (16 years and over) and 3,870 children (less than 16 years); 18,763 individuals in 2007, of which 14,965 adults (16 years and over) and 3,798 children (less than 16 years); 18,218 individuals in 2008, of which 14,532 adults (16 years and over) and 3,686 children (less than 16 years); 18,956 individuals in 2009, of which 15,064 adults (16 years and over) and 3,892 children (less than 16 years); 18,061 individuals in 2010, of which 14,351 adults (16 years and over) and 3,710 children (less than 16 years); 17,366 individuals in 2011, of which 13,924 adults (16 years and over) and 3,442 children (less than 16 years); 18,441 individuals in 2012, of which 14,815 adults (16 years and over) and 3,626 children (less than 16 years); 18,765 individuals in 2013, of which 14,934 adults (16 years and over) and 3,831 children (less than 16 years); 17,909 individuals in 2014, of which 14,210 adults (16 years and over) and 3,699 children (less than 16 years); 18,071 individuals in 2015, of which 14,470 adults (16 years and over) and 3,601 children (less than 16 years); 17,633 individuals in 2016, of which 14,029 adults (16 years and over) and 3,604 children (less than 16 years); 16,425 individuals in 2017, of which 13,132 adults (16 years and over) and 3,293 children (less than 16 years); 15,820 individuals in 2018, of which 12,719 adults (16 years and over) and 3,101 children (less than 16 years); 15,953 individuals in 2019, of which 12,811 adults (16 years and over) and 3,142 children (less than 16 years); 6,814 individuals in 2020, of which 5,694 adults (16 years and over) and 1,120 children (less than 16 years); 10,936 individuals in 2021, of which 8,997 adults (16 years and over) and 1,939 children (less than 16 years); 9,642 individuals in 2022, of which 7,998 adults (16 years and over) and 1,644 children (less than 16 years); 16,822 individuals in 2023, of which 13,907 adults (16 years and over) and 2,915 children (less than 16 years); 20,171 individuals in 2024, of which 16,767 adults (16 years and over) and 3,404 children (less than 16 years). Numeric Repeated cross-sectional study Multi-stage stratified random sample Telephone interviewSelf-completionDiariesFace-to-face interview The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.Commercial use is not permitted.Use of the data requires approval from the data owner or their nominee. Users must apply for access via a Special Licence application. See <restrctn> https://www.gov.uk/government/collections/national-travel-survey-statistics An, Z., Heinen, E. and Watling, D. (2021) 'When you are born matters: an age-period-cohort analysis of multimodality', Travel behaviour and society, 22, pp.129-145, doi:10.1016/j.tbs.2020.09.002 https://doi.org/10.1016/j.tbs.2020.09.002 An, Z., Heinen, E., and Watling, D. (2021) 'The level and determinants of multimodal travel behavior: does trip purpose make a difference?', International Journal of Sustainable Transportation, 1-15. doi:10.1080/15568318.2021.1985195 https://doi.org/10.1080/15568318.2021.1985195 Alvarez Castro, D., Ford, A., James, P., Palacín, R. and Ziemke, D. (2024) 'A MATSim model methodology to generate cycling-focused transport scenarios in England', Journal of Urban Mobility, Vol. 5, 100078. doi:10.1016/j.urbmob.2024.100078 https://doi.org/10.1016/j.urbmob.2024.100078 Büchs, M., and Mattioli, G. (2021) 'Trends in air travel inequality in the UK: from the few to the many?', Travel Behaviour and Society, 25, 92-101. doi:10.1016/j.tbs.2021.05.008 https://doi.org/10.1016/j.tbs.2021.05.008 Caldarola, B. and Sorrell, S. (2022) 'Do teleworkers travel less? Evidence from the English National Travel Survey', Transportation Research Part A: Policy and Practice, 159, pp.282-303. doi:10.1016/j.tra.2022.03.026 https://doi.org/10.1016/j.tra.2022.03.026 Cenex (2021) 'Predicting on-street EV charging demand: a case study using the City of Worcester', Loughborough: Cenex https://www.cenex.co.uk/app/uploads/2021/07/final-EVEREST-Report.pdf https://oai.ukdataservice.ac.uk:8443/oai/provider 7553 2025-11-28T06:31:18Z ddi:codebook:2_5