Common use of Data Sources Clause in Contracts

Data Sources. Table 10 list the data items used for NAMPO’s implementation of ITHIM. Table 10 Data Sources for ITHIM Implementation by NAMPO Source Calibration Data Item Units Strata Middle TN Transportation and Health Study Per capita mean daily travel distance Miles/person/day Travel mode Per capita mean daily travel time Min/person/day Travel mode Ratio: per capita mean daily active transportation time(reference group: females aged 15–29 years) Dimensionless Walk, bike, age, sex Standard deviation of mean daily active transportation time Min/person/day None Walking speed Miles/hour None Ratio of daily per capita bicycling time to walking time Dimensionless Bicycle, walk Personal auto travel distance and time Miles and hours/day Driver, passenger Travel Demand Model Vehicle miles traveled (VMT) by facility type Miles/day Travel mode and road type4 US Census Distribution of population by age and gender % Age, sex NHANES Per capita weekly non-travel related physical activity MET-hours/week Median of quintile of walk +bicycle METs, by age and sex TN Department of Health Age-sex specific ratio of disease- specific mortality rate between Nashville metro and USA. Dimensionless Disease group5, age, sex Proportion of colon cancers from all colorectal cancers Dimensionless None TN Department of Safety Serious and fatal injuries between a striking vehicle and a victim vehicle in road traffic collisions Injuries Severity, striking mode x victim mode, road type TN Department of Environment and Conservation Emissions of PM2.5 attributable to light-duty vehicles Tons/day None Source: Xxxxxxxxx et al. (2017) The Middle Tennessee Transportation and Health Study (MTTHS) was NAMPO’s regional household travel survey conducted in 2012 (Xxx et al., 2013). The MTTHS contained questions for residents in the MPO area regarding the origins, destinations, purposes, travel modes (including walking and cycling), start time, and end time of all trips in a 24-hour period. The travel distance between a pair of origin and destination was estimated with recommend travel route on Google Maps (Xxxxxxxxx et al., 2017). Vehicle miles traveled by roadway types were obtained from the NAMPO’s travel demand models. The 2010 US Census provided data for the study area population by age and sex. Participation in non-travel related physical activities (i.e., leisure, domestic, and occupational physical activity) were obtained from the National Health and Nutrition Examination Survey 2011–2012 (CDC, 2013). The most recent (2008-2010) mortality data for all diseases in the study area were provided by the Tennessee Department of Health (Xxxxxxxxx et al., 2017). Table 11 shows the specific disease groups modeled in ITHIM by the International Classification of Diseases, version 10 codes (ICD-10). Table 11 Diseases included in the ITHIM model and their respective ICD-10 codes Three-year average mortality rate by age and sex was calculated for each disease condition. Traffic injuries and fatalities by roadway types (local, arterial, and highway) and by the modes involved (opposing and victim vehicle) for 2010–2012 were provided by the Tennessee Department of Safety. Injuries and fatalities resulted from collision between pedestrians and bicycles were not included as these accidents were not typically recorded in accident reports (Xxxxxxxxx et al., 2017). The Tennessee Department of Environment and Conservation provided average annual PM2.5 (particulate matter smaller than 2.5 micrometers in diameter) concentrations and the estimated proportion of regional PM2.5 from light-duty vehicles. To estimate economic cost saving associated with reduced injuries and chronic disease incidence, published US estimates of the direct costs of treatment and indirect costs of lost worker productivity for relevant medical conditions were compiled from various references (Table 12). Nashville-specific costs were then calculated by multiplying the national estimates with the proportion (0.48%) of the US population living in NAMPO area (Xxxxxxxxx et al., 2017). The Nashville-estimated costs were then multiplied by the ITHIM-predicted change in disease burden to arrive at the estimated change in cost for each condition. Table 12 Conditions Included in the Economic Benefits Calculations and Estimated National Cost of the Conditions

Data Sources. ITHIM required 14 calibration data items covering underlying disease burdens, travel habits, physical activity participation, air pollution levels, and traffic injuries and fatalities in the study area. Table 10 list 6 summarizes the data items used for NAMPO’s implementation of ITHIMand the sources. Table 10 6 Sources of Data Sources for ITHIM Implementation by NAMPO in San Francisco Bay Area Source Calibration Data Item Units Strata Middle TN Transportation and Health Study Stratification San Francisco Bay Area Travel Survey 2000 Regional Travel Characteristics (MTC, 2004) Per capita mean daily travel distance Miles/person/day Travel mode Per capita mean daily travel time MinMinutes/person/person/ day Travel mode Ratio: per capita mean daily active transportation time(reference group: females aged 15–29 years) Dimensionless time Walk, bike, age, and sex Standard deviation of mean daily active transportation time MinMinutes/person/person/ day None Walking speed Miles/hour None Ratio of daily per capita bicycling time to walking time Dimensionless Bicycle, walk Personal auto travel distance and time Miles and hours/day DriverDriver and passenger MTC’s Travel demand model (MTC, passenger Travel Demand Model 2017) Vehicle miles traveled (VMT) by facility type Miles/day Travel mode and road type4 type US Census Distribution of population by age and gender % AgeAge and sex California Health Interview Survey (UCLA, sex NHANES 2008) Per capita weekly non-travel related physical activity activity, expressed in Metabolic Equivalent Task (MET) hours MET-hours/hours/ week Median of quintile of walk +bicycle METs, by age Age and sex TN Department of Health Age-sex specific ratio of disease- specific mortality rate between Nashville metro the Bay area and USA. Dimensionless Disease group5group, age, and sex Proportion of colon cancers from all colorectal cancers Dimensionless None TN Department of Safety Table 6, continued Source Calibration Data Item Units Stratification California Highway Patrol (CHP, 2008) and Transportation Injury Mapping System (SafeTREC, 2020) Serious and fatal injuries between a striking vehicle and a victim vehicle in road traffic collisions Injuries Severity, striking mode x mode, victim mode, and road type TN Department of Environment and Conservation EMFAC 2007 (CARB, 2020b) Emissions of PM2.5 attributable to light-duty vehicles Tons/day None Source: Xxxxxxxxx et al. (2017) The Middle Tennessee Transportation and Health Study (MTTHS) was NAMPO’s regional household travel survey conducted in 2012 (Xxx et al., 2013). The MTTHS contained questions for residents in the MPO area regarding the origins, destinations, purposes, travel modes (including walking and cycling), start time, and end time of all trips in a 24-hour period. The travel distance between a pair of origin and destination was estimated with recommend travel route on Google Maps (Xxxxxxxxx et al., 2017). Vehicle miles traveled by roadway types were obtained from the NAMPO’s travel demand models. The 2010 US Census provided data for the study area population by age and sex. Participation in non-travel related physical activities (i.e., leisure, domestic, and occupational physical activity) were obtained from the National Health and Nutrition Examination Survey 2011–2012 (CDC, 2013). The most recent (2008-2010) mortality data for all diseases in the study area were provided by the Tennessee Department of Health (Xxxxxxxxx et al., 2017). Table 11 shows the specific disease groups modeled in ITHIM by the International Classification of Diseases, version 10 codes (ICD-10). Table 11 Diseases included in the ITHIM model and their respective ICD-10 codes Three-year average mortality rate by age and sex was calculated for each disease condition. Traffic injuries and fatalities by roadway types (local, arterial, and highway) and by the modes involved (opposing and victim vehicle) for 2010–2012 were provided by the Tennessee Department of Safety. Injuries and fatalities resulted from collision between pedestrians and bicycles were not included as these accidents were not typically recorded in accident reports (Xxxxxxxxx et al., 2017). The Tennessee Department of Environment and Conservation provided average annual PM2.5 (particulate matter smaller than 2.5 micrometers in diameter) concentrations and the estimated proportion of regional PM2.5 from light-duty vehicles. To estimate economic cost saving associated with reduced injuries and chronic disease incidence, published US estimates of the direct costs of treatment and indirect costs of lost worker productivity for relevant medical conditions were compiled from various references (Table 12). Nashville-specific costs were then calculated by multiplying the national estimates with the proportion (0.48%) of the US population living in NAMPO area (Xxxxxxxxx et al., 2017). The Nashville-estimated costs were then multiplied by the ITHIM-predicted change in disease burden to arrive at the estimated change in cost for each condition. Table 12 Conditions Included in the Economic Benefits Calculations and Estimated National Cost of the Conditionsday