The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
The dataset consists of professionally transcribed semi-structured interviews (n=110). The interviews were between 20 and 90 minutes long. They were recorded before (n=48) and after (n=55) month-long free loans of electric cargo bikes in suburbs of Leeds, Oxford and Brighton in Summer-Autumn 2023, and after (n=10) winter loans of the e-cargo bikes for between 3 and 6 months in Winter-Spring 2023-4.
Leeds pre-summer interviews (n=16)
Leeds post-summer interviews (n=18)
Leeds post-winter interviews (n=3)
Oxford pre-summer interviews (n-16)
Oxford post-summer interviews (n-19)
Oxford post-winter interviews (n-3)
Brighton pre-summer interviews (n=17)
Brighton post-summer interviews (n=18)
Brighton post-winter interviews (n=4)
These interviews collected pre-trial everyday travel routines and expectations of use of the e-cargo bikes with the post-trial reality. This enabled us to explore: which trips had been undertaken with the e-cargo bike, and why; which had not, and why; which travel routines suited the e-cargo bike; which unexpected trips were generated with its availability; the subjective, affective and embodied experiences of e-cargo bike usage, as well as the post-trial intention to buy, and recommendations to policy-makers about how to make e-cargo bike usage and ownership more attractive. Some interviews involved multiple householders, including children.The UK transport sector lags behind all other sectors in its achievement of energy diversification and carbon emission reductions to date, with emissions from transport essentially unchanged since the benchmark year of 1990. The Committee on Climate Change have been very critical of this failure and identified electrically-assisted scooters and bikes as part of solutions that need to be urgently accelerated. Indeed, the UK lags behind other countries in the uptake of a range of innovative light vehicles for both passenger and freight applications. Examples include electrically-assisted: bicycles, cargo...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/05/2023 - 01/05/2024
Country
United Kingdom
Time dimension
Not available
Analysis unit
Family: Household family
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Data collection mode
Semi-structured interviews. Topic guides are provided in a User Guide for the data.
Funding information
Grant number
EP/S030700/1
Access
Publisher
UK Data Service
Publication year
2025
Terms of data access
The Data Collection is available for download to users registered with the UK Data Service.