Table 1.
Cycling and NCD prevention data.
Table 2.
Literature data: Active commuting and NCD prevention.
Table 3.
Literature data: Direct costs from the public healthcare payer’s perspective.
Table 4.
Health economic assessment model data.
Fig 1.
Schematic representation of first 4 years’ model: type 2 diabetes.
Fig 2.
Schematic representation of first 4 years’ model: acute myocardial infarction.
Fig 3.
Schematic representation of first 4 years’ model: stroke.
Table 5.
Exposure to road traffic accidents and deaths by means of transportation (assuming 232 working/education days).
Table 6.
Road traffic accidents and deaths by means of transportation, 2008–2010 Municipality of Florence data and cycling promotion scenario analysis.
Table 7.
Model assumptions, key parameters and sensitivity analysis.
Table 8.
Individuals commuting to work or school in Florence, by mode of transport and travel time, 2011 population census data and cycling promotion scenario analysis (rounded numbers).
Table 9.
NCD prevention and healthcare direct costs savings (5% discount rate per year) based on Florence cycling promotion scenarios over a ten-year period (2013–2022).
Fig 4.
Potential yearly discounted savings on healthcare direct costs by year and health outcome, 5% discount rate (€, 2013).
Scenario 1: Less ambitious cycling promotion target; Scenario 2: Optimistic cycling promotion target.
Fig 5.
Discounted savings over a 10-year period (2013–2022)—Sensitivity analyses’ results.
Scenario 1: Less ambitious cycling promotion target; Scenario 2: Optimistic cycling promotion target.