Table 1.
Key assumptions in the health impact modelling.
Table 2.
Key data sources for baseline scenario.
Figure 1.
Visualisations for a typical urban terraced street.
The four figures are taken from the visualisations used in the Visions 2030 Walking and Cycling Project http://www.visions2030.org.uk/. Each vision represents four different possibilities for urban transport in 2030 in the UK. These visualisations are of a ‘typical’ Victorian terraced street. Visualisations created by the School of Computing at the University of East Anglia.
Table 3.
Stages, speed, time, and distance by mode for each Scenario.
Table 4.
Ratios of time spent walking and cycling compared with women aged 15–291.
Figure 2.
Population distributions of time spent in active travel.
A: Vision 1 median 9 minutes per day of walking plus cycling. B: Vision 2 median 14 minutes per day of walking plus cycling. C: Vision 3 median 19 minutes per day of walking plus cycling. D: Vision 4 median 30 minutes per day of walking plus cycling.
Table 5.
Dose response functions used by disease and for all-cause mortality.
Table 6.
Air pollution health impact model.
Figure 3.
Health gains by Vision and risk factor.
Disability Adjusted Life Years gained per million population under each of the three visions, broken down into the proportions attributable to improvements from air quality, increased physical activity and decreased road injuries. See Table 7 for full results.
Table 7.
DALYs gained in one accounting year by Vision and by risk factor per million population.
Table 8.
Health gains by disease category.
Table 9.
Fatalities by mode per scenario.
Table 10.
Serious injuries by mode per scenario.
Table 11.
PM 2.5 Values by Vision.
Table 12.
Impact of physical activity dose response relationship on reduction in disease burden from ischemic heart disease.
Table 13.
Percentage reduction in years of life lost (YLLs) and premature deaths using ITHIM and HEAT.
Table 14.
Megatonnes of CO2 from people living in urban areas by Vision1.