This study examines various health impacts of built environment interventions
Conditions
Interventions
Residents participating in the qualitative research component will take part in two ‘go-along’ interviews, one in Summer-Autumn 2022 and one in Summer-Autumn 2023. These ‘go-along’ interviews will ent
Sponsors
University of Westminster
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: The study is not actively recruiting from the general public but will recruit: 1. Local residents living in or near a sub-set of the interventions to participate in interviews 2. Disabled people (on a pan-impairment basis) to participate in focus groups discussing interventions, and 3. Local stakeholders/policy-makers involved in intervention planning to participate in interviews.
Exclusion criteria
Exclusion criteria: For local resident interviews: individuals not living in or near one of our four selected LTNs
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Number of pedestrians and cyclists, measured using machine learning 'Vivacity' sensors, installed in intervention and control sites, collecting data continuously 'pre' and 'post' intervention (2021-2024). | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Estimated new pedestrian and cycle trips generated, and trips switched from motor vehicle, using Vivacity sensors & one-off route user intercept surveys in 2023 to gather information on how trips were previously made. 2. Active travel diversity 1: % pedestrians using wheelchairs or mobility scooters, measured annually using Vivacity sensor data in intervention and control areas. 3. Active travel diversity 2: % female cyclists, measured annually (2021, 2022, 2023, 2024) using video data collected in intervention and control areas. 4. Active travel diversity 3: % (i) pedestrians and (ii) cyclists who are children, measured annually (2021, 2022, 2023, 2024) using video data collected in intervention and control areas. 5. Active travel diversity 4: % children (i) walking or (ii) cycling without an adult, measured annually (2021, 2022, 2023, 2024) using video data collected in intervention and control areas. 6. Motor vehicle congestion defined through live-traffic journey times, measured using Google API calls, collected continuously (2021-2024) in intervention and control areas. 7. Journey time by car to a range of local and more distant services and relative speed of cars versus active travel for local trips, measured using Google API calls, collected annually (2021, 2022, 2023, 2024) in intervention and control areas. 8. Change in a) number of road injuries and b) risk per trip (using data from LTNs across London to increase power). based on Stats19 police injury data [secondary data], collected continuously (2021-2024), using pan-London data as a control. 9. Change in motor vehicle volumes in and around LTNs (London-wide background data from similar roads as control group). Collected using Vivacity sensors + local authority monitoring data [secondary data] One-off (2022/23) data collection using pan-London data as a control. 10. The resident ‘go-along’ interviews (in Summer-Autumn 2022 and in Summer-Autumn 2023) are primarily intended to explore how a diverse | — |
Countries
England, United Kingdom
Outcome results
None listed