A natural experimental study of new walking and cycling infrastructure across the United Kingdom: The Connect2 programme

High quality evaluations of new walking and cycling routes are scarce and understanding contextual mechanisms influencing outcomes is limited. Using different types of data we investigate how context is associated with change in use of new and upgraded walking and cycling infrastructure, and the ass...

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Published inJournal of transport & health Vol. 20; p. 100968
Main Authors Le Gouais, Anna, Panter, Jenna R., Cope, Andy, Powell, Jane E., Bird, Emma L., Woodcock, James, Ogilvie, David, Foley, Louise
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.03.2021
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Abstract High quality evaluations of new walking and cycling routes are scarce and understanding contextual mechanisms influencing outcomes is limited. Using different types of data we investigate how context is associated with change in use of new and upgraded walking and cycling infrastructure, and the association between infrastructure use and overall physical activity. We conducted repeat cross-sectional pre-post analysis of monitoring data from a variety of walking and cycling routes built in 84 locations across the United Kingdom (the Connect2 programme, 2009–2013), using four-day user counts (pre n = 189,250; post n = 319,531), next-to-pass surveys of route users (pre n = 15,641; post n = 20,253), and automatic counter data that generated estimates of total annual users. Using multivariable logistic regression, we identified contextual features associated with 50% increase and doubling of pedestrians, cyclists, and sub-groups of users. We combined insights from monitoring data with longitudinal cohort data (the iConnect study) from residents living near three Connect2 schemes. Residents were surveyed by post at baseline, one-year (n = 1853) and two-year follow-up (n = 1524) to investigate associations between use of the new infrastructure and meeting physical activity guidelines. The routes were associated with increased use (median increase in cyclists 52%, pedestrians 38%; p < 0.001). Large relative increases were associated with low baseline levels (e.g. odds of doubling cycling were halved for each additional 10,000 annual cyclists at baseline: OR 0.52, 95% CI 0.31, 0.77). Use was associated with meeting physical activity guidelines in both repeat cross-sectional and longitudinal analyses (users vs. non-users after one year, OR 2.07, 95% CI 1.37, 3.21; after two years, OR 2.00, 95% CI 1.37, 2.96). This examination of use, users, benefit-cost ratios, and physical activity associated with new walking and cycling infrastructure across contexts, using multiple types of data, suggests that building walking and cycling infrastructure could improve population health and reduce inequalities. •New walking and cycling routes were associated with increases in users.•Low baseline level of users was associated with large relative increase in use.•Use of the routes was associated with meeting physical activity guidelines.•Combining evaluation methods provides additional insights into effectiveness.
AbstractList High quality evaluations of new walking and cycling routes are scarce and understanding contextual mechanisms influencing outcomes is limited. Using different types of data we investigate how context is associated with change in use of new and upgraded walking and cycling infrastructure, and the association between infrastructure use and overall physical activity. We conducted repeat cross-sectional pre-post analysis of monitoring data from a variety of walking and cycling routes built in 84 locations across the United Kingdom (the Connect2 programme, 2009–2013), using four-day user counts (pre n = 189,250; post n = 319,531), next-to-pass surveys of route users (pre n = 15,641; post n = 20,253), and automatic counter data that generated estimates of total annual users. Using multivariable logistic regression, we identified contextual features associated with 50% increase and doubling of pedestrians, cyclists, and sub-groups of users. We combined insights from monitoring data with longitudinal cohort data (the iConnect study) from residents living near three Connect2 schemes. Residents were surveyed by post at baseline, one-year (n = 1853) and two-year follow-up (n = 1524) to investigate associations between use of the new infrastructure and meeting physical activity guidelines. The routes were associated with increased use (median increase in cyclists 52%, pedestrians 38%; p < 0.001). Large relative increases were associated with low baseline levels (e.g. odds of doubling cycling were halved for each additional 10,000 annual cyclists at baseline: OR 0.52, 95% CI 0.31, 0.77). Use was associated with meeting physical activity guidelines in both repeat cross-sectional and longitudinal analyses (users vs. non-users after one year, OR 2.07, 95% CI 1.37, 3.21; after two years, OR 2.00, 95% CI 1.37, 2.96). This examination of use, users, benefit-cost ratios, and physical activity associated with new walking and cycling infrastructure across contexts, using multiple types of data, suggests that building walking and cycling infrastructure could improve population health and reduce inequalities. •New walking and cycling routes were associated with increases in users.•Low baseline level of users was associated with large relative increase in use.•Use of the routes was associated with meeting physical activity guidelines.•Combining evaluation methods provides additional insights into effectiveness.
ArticleNumber 100968
Author Cope, Andy
Foley, Louise
Powell, Jane E.
Woodcock, James
Panter, Jenna R.
Ogilvie, David
Bird, Emma L.
Le Gouais, Anna
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  organization: MRC Epidemiology Unit & Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
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  givenname: Jenna R.
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  givenname: Jane E.
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  givenname: Emma L.
  surname: Bird
  fullname: Bird, Emma L.
  organization: Centre for Public Health & Wellbeing, University of the West of England, Bristol (UWE Bristol), Frenchay Campus, Coldharbour Lane, Bristol, BS16 1QY, UK
– sequence: 6
  givenname: James
  surname: Woodcock
  fullname: Woodcock, James
  organization: MRC Epidemiology Unit & Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
– sequence: 7
  givenname: David
  surname: Ogilvie
  fullname: Ogilvie, David
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  givenname: Louise
  surname: Foley
  fullname: Foley, Louise
  organization: MRC Epidemiology Unit & Centre for Diet and Activity Research (CEDAR), School of Clinical Medicine, University of Cambridge, Box 285, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK
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Infrastructure
Walking
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Physical activity
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Snippet High quality evaluations of new walking and cycling routes are scarce and understanding contextual mechanisms influencing outcomes is limited. Using different...
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StartPage 100968
SubjectTerms Context
Cycling
Evaluation
Infrastructure
Physical activity
Walking
Title A natural experimental study of new walking and cycling infrastructure across the United Kingdom: The Connect2 programme
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