Research: Transport and transport technology: public attitudes tracker

Tracking public attitudes to and awareness of transport technologies in England.

Published: 19 December 2024
By Chris Haycock

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Research into public awareness of and attitudes to current, emerging and future transport technologies, including:

car ownership and connectivity
electric vehicles
self-driving vehicles
future of flight
e-scooters
e-cycles
drones
Mobility-as-a-Service (MaaS)
ride-sharing
space tourism and flying taxis

Ipsos UK has run wave 7 (June 2021) to wave 11 (December 2023) of this survey on behalf of the Department for Transport (DfT). Waves 7 to 11 data should not be compared back to previous survey waves due to methodological changes.

The wave 11 data tables include a cross break with the 9 transport user segments developed by DfT.

This research is part of the Future of Transport programme, which aims to shape transport innovation and secure the UK’s position as a leader in the transport sector of the future.

Updates to this page Published 26 October 2018 Last updated 19 December 2024 + show all updates 19 December 2024 Wave 11 data tables updated to include a cross break with 9 transport user segments developed by DfT.

26 September 2024 Wave 10 and wave 11 report and research evidence added.

23 February 2023 Wave 9 report and research evidence added.

12 May 2022 Wave 8 report and research evidence added.

23 November 2021 Published Wave 7 summary report, data dictionary and tables.

28 January 2021 Published Wave 6 summary report, data dictionary and tables.

24 November 2020 Added Wave 5 report and a ZIP file containing accompanying tables, data dictionary and datasets.

24 August 2020 Published Wave 4 summary report, data set, dictionary and tables.

22 July 2019 The variable urbanisation_3bands has been updated in the data set for waves 1 to 3 combined, within the 'public attitudes tracker wave 3 data set, dictionary and tables' zip file. This follows identification of a coding error that meant urbanisation was being incorrectly derived for 1,225 cases in the wave 3 data (35% of all interviews included in the wave 3 data).

7 June 2019 Wave 3 research published.

29 October 2018 Document updated to correct battery life figure on page 2 from 42% to 41%.

26 October 2018 First published.

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