Public health study exploring impacts of changes to the built environment on active travel and hence health outcomes such as via increased physical activity Other
Conditions
Interventions
The project’s quantitative component comprises a large controlled before-after longitudinal study, assessing how new cycling infrastructure affects travel behaviour (predominantly via a past-week trav
Sponsors
University of Westminster
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: Adults aged 18+ years living in the three study regions (Greater Manchester, West Midlands, West Yorkshire) and living within varying distances of planned new cycle routes, around half of which we expect to be built during the study period.
Exclusion criteria
Exclusion criteria: Children aged under 18 years
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Minutes spent cycling, walking, and in all active travel measured via a past-week travel diary, included within the annual longitudinal survey questionnaire. We will also capture change in past-week nonactive travel physical activity (PA) to check that (as evidence suggests) active travel does not displace other sources of PA (and adjust accordingly if it does). | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Change in car driving, car use and car ownership: the past-week travel diary will measure changes in minutes driving or passengering in a car and will ask annually about car ownership. Driving data will be used to estimate emissions of local air pollutants and greenhouse gases. 2. Individual subjective well-being measured annually using the EuroQol short Health and Wellbeing Questionnaire (EQ-HWB-S, https://euroqol.org/research-at-euroqol/eq-hwb/), developed for use in economic evaluation of the effects of interventions on subjective wellbeing. Outcomes will be change in EuroQoL scores at each timepoint and change in QALYs and hence health economic impact derived from this. 3. Experiences of road injuries and near-misses: the researchers will ask annually about near misses in the survey and measure road injuries through DfT injury data (Stats19). Outcomes will be changes in all severity casualties and in KSI (killed or seriously injured) casualties, and the number of near misses experienced in the past week. 4. Quality and perceived quality of the local cycling environment. Outcomes will be changes in ‘cyclability’ scores (a small-area built environment measure) and changes in combined answers to ‘cycling environment’ survey questions. | — |
Countries
England, United Kingdom
Contacts
Public ContactPatrice Ajai-Ajagbe
Outcome results
None listed