Carbonless Footprints: Health and Environmental benefits of Active Transportation

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Carbonless Footprints: Health and Environmental benefits of Active Transportation Dr. Lawrence Frank, Professor and Bombardier Chair in Sustainable Transportation - University of British Columbia Health and Community Design Lab www.act-trans.ubc.ca trans.ubc.ca

Bridging knowledge and action Applied Policy Research Working across disciplines Connecting Health, Environmental, and Transportation Sectors Building an evidence base on the impacts of community design on health and environmental outcomes Quantifying the externalities Finding strategic opportunities to intervene Evaluating the effects of changes to the built environment

Quality of Life Environmental Quality Air Quality and Greenspace Human Behavior Travel Patterns and Physical Activity Built Environment Transportation Investments and Land Use

On 350 calories one apple tart or a special slice of Ray's Pizza a cyclist can travel 10 miles, a pedestrian 3.5 miles, and an automobile 100 feet. Transportation Alternatives, Bicycle Blueprint, 1998 Carbonless Footprints Paper in Preventive Medicine TRANSPORTATION ENERGY INDEX

The Hidden Health Costs of Transportation Frank et al 2010 American Public Health Association

Obesity Trends* Among Canadian Adults HPS, 1985 (*BMI 30, or ~ 30 lbs overweight for 5 4 woman) No Data <10% 10%-14% 15-19% 20% Source: Katzmarzyk PT. Can Med Assoc J 2002;166:1039-1040.

Obesity Trends* Among Canadian Adults (*BMI 30, NPHS, or ~ 30 lbs overweight 1994 for 5 4 woman) No Data <10% 10%-14% 15-19% 20% Source: Katzmarzyk PT. Can Med Assoc J 2002;166:1039-1040.

Obesity Trends* Among Canadian Adults (*BMI 30, CCHS, or ~ 30 lbs overweight 2000 for 5 4 woman) No Data <10% 10%-14% 15-19% 20% Source: P.T. Katzmarzyk, Unpublished Results. Data from: Statistics Canada. Health Indicators, May, 2002.

Obesity Trends Among Canadian Adults Provinces (measured) CCHS, 2004 Territories (self-report) CCHS, 2002 15-19% 20-24% 25-29% 30-34% Data from: Statistics Canada.

(*BMI 30, or ~ 30 lbs overweight for 5 4 person) No Data <10% 10%-14% 15-19% 20% Source: Mokdad A H, et al. JAMA 2001;286:10

Overweight and Obesity Direct health care costs: $93 billion 9% of all health care costs Obesity- $732 more per person $1,486 Medicare $ 864 Medicaid Source : Finkelstein, Fiebelkorn and Wang. Health Affairs, May, 2003.

Diabetes Trends* Among Adults in the U.S., (Includes Gestational Diabetes) BRFSS, 1990,1995 and 2001 1990 1995 2001 Source: Mokdad et al., Diabetes Care 2000;23:1278-83; J Am Med Assoc 2001;286:10.

1900 1996 Pneumonia Tuberculosis Diarrhea/Enteritis Heart Disease Stroke Liver Disease Injuries Cancer Senility Diphtheria Heart Disease Cancer Stroke Chronic Lung Disease Accidents Pneumonia/Influenza Diabetes HIV Suicide Chronic Liver Disease 0 10 20 Percentage 0 5 10 15 20 25 30 35 Percentage The average life expectancy in 1900 was 47.3 years of age. In 1993, it was 75.7 years of age. SOURCE: CDC, National Center for Health Statistics

Proximity 2 KM 1 KM Connectivity

UBC Active Transport Lab

Comparing Two Communities

Built environment characteristics explaining walking in adults Any walk trip Work/school walk trip Higher residential density +++ +++ +++ Higher street connectivity +++ +++ +++ Higher commercial density +++ +++ +++ Higher mix of land uses ++ + ++ More nearby parks and open spaces +++ + +++ Higher overall neighbourhood walkability +++ ++ +++ NS = not significant, '+' = 95% significant; '++' = 99% significant, '+++' = 99.9% significant Nonwork/school walk trip Devlin and Frank, 2009

Can Transit Investments Promote Public Health?

Transit Use and Physical Activity Transit users in Atlanta were 3.42 times more likely to meet physical activity recommendations by walking for transportation Source: Lachapelle and Frank, 2009

Predictors of Obesity Coefficient t-ratio P-Value Age 0.012 6.00 0.000 Education -0.080-4.71 0.000 Income -0.057-4.75 0.000 Walk Distance -0.049-2.04 0.034 Car Time 0.001 2.875 0.003 Land Use Mix -2.035-5.65 0.000 Black Male 0.311 3.930 0.000 Black Female 0.372 5.09 0.000 White Female -0.871-11.3 0.000 Constant -0.497-2.22 0.026 Frank, L., Andresen, M., and Schmid, T., Obesity Relationships With Community Design, Physical Activity, and Time Spent in Cars. American Journal of Preventive Medicine. June 2004.

Obesity Results Driving and Walking Every additional hour per day in a car translates into a 6 percent increase in the likelihood of obesity Time spent driving increases as walkability decreases Every additional Kilometer (.6 miles) walked translates into 4.8 percent reduction in the likelihood of being obese Distances walked increases with walkability Frank, L., Andresen, M., and Schmid, T., Obesity Relationships With Community Design, Physical Activity, and Time Spent in Cars. American Journal of Preventive Medicine. June 2004.

Nothing Great Was Ever Achieved Without Enthusiasm Ralph Waldo Emerson

LOGISTIC REGRESSION ANALYSES PREDICTING THE ODDS OF WALKING AT LEAST ONCE OVER 2-DAYS2 YOUTH Age Range 5-8 years OR (95% CI) 9-11 years OR (95% CI) 12-15 years OR (95% CI) 16-20 years OR (95% CI) N=847 N=632 N=867 N=815 Intersection highest tertile (vs lowest) Density highest tertile (vs lowest) *p<.05, **p<.01, ***p<.001 1.7 (1.0-2.9) 1.8 (1.0-3.1) Mixed land use (vs no mix) 1.5 (0.9-2.4) At least 1 commercial land use (vs 0) At least 1 recreation/open space land use (vs 0) 1.5 (0.9-2.4) 2.1 (1.3-3.4)*** 1.3 (0.8-2.3) 2.3 (1.2-4.3)** 1.5 (0.9-2.5) 1.6 (1.0-2.5) 1.8 (1.1-2.9)* controlling for socio-demographics and stratified by age group (Averaged over a two day period) 1.7 (1.1-2.8)* 3.7 (2.2-6.4)*** 2.5 (1.6-3.8)*** 2.6 (1.7-4.0)*** 2.5 (1.7-3.6)*** 2.0 (1.1-3.6)* 2.0 (1.0-4.1) 1.9 (1.0-3.2)* 1.7 (1.0-3.1) 1.8 (1.1-2.9)**

Compared with youth from households with 3 or more cars (99.9% confidence level): Youth from households with 2 cars were 1.4 times more likely to walk at least once over a two day period Youth from households with 1 car were 2.6 times more likely to walk at least once over a two period and 2.2 times more likely to walk more than a ½ mile per day Youth from households with no cars were 7.7 times more likely to walk at least once a two day period and 6.8 times more likely to walk more than a ½ mile per day.

Mode to school by walk distance 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% walk school bus shared ride drive alone 0-1 miles 1-2 miles 2-3 miles 3-4 miles 4-5 miles 5-6 miles 6-10 miles 10+ miles Walk distance

Percentage of households within a 0.6 mile (1 km) walking distance of a park entrance Nearly 70 percent of all multi-family households (and 58 percent of all households) have park access within a 0.6 mile walk

Percentage of households within 0.6 miles (1 km) of a grocery store, produce market, specialty market or farmers market Over 80 percent of multi- family households - and nearly 60 percent of all households - have access to agrocerystoreorfarmers market within walking distance.

By 2032, 1/4 of B.C. residents will be over age 65. Vancouver Sun September 17, 2011 California will see its 65-plus population more than double in the next 25 years, from 3.5 million in 2000 (10.6 percent of the state's population) to 8.2 million in 2030 (17.8 percent). Where will the 65-plus population live? Access to services, Less reliance on driving for safety reasons, Maintaining Independence Lack of Affordable Housing in Walkable Places Cost of service delivery with Aging in central / walkable versus peripheral / unwalkable places

Nitric Oxide Marshall, Brauer, and Frank 2008

CO2 & Neighbourhood Design CO2(KG)--mean dailype person CO2 (KG) -- mean daily p person 12.5 12 11.5 11 10.5 10 12.5 12 11.5 11 10.5 10 9.5 0-4 4-7 7-10 10-15 15+ Net Residential Density (housing units per residential acre) CO2 (KG) -- mean daily pe person 13 12 11 10 9 8 0-0.1 0.1-0.2 0.2-0.3 0.3-0.4 0.4+ Intersections per acre 0 1-2 3-9 10-29 30-165 # of Neighborhood Retail Parcels Source: LUTAQH final report, King County ORTP, 2005

King County, Wa. LFC, Inc. May. 19, 2009 CO2 emissions from transportation Includes: Local urban form (land use mix, intersection density, retail FAR) Regional location (auto travel time Transit accessibility & travel time Demographics Distance Based Impact Fee System

LFC, Inc. May. 9, 2009

The precautionary principle states that if an action or policy has a suspected risk of causing harm to the public or to the environment, in the absence of scientific consensus that the action or policy is harmful, the burden of proof that it is not harmful falls on those taking the action. This principle allows policy makers to make discretionary decisions in situations where there is the possibility of harm from taking a particular course or making a certain decision when extensive scientific knowledge on the matter is lacking. The principle implies that there is a social responsibility to protect the public from exposure to harm, when scientific investigation has found a plausible risk.

John Snow 1857

The Broad Street Pump.

The separation of residential, employment, and retail uses is associated with lower levels of active transportation and increased odds of being obese and being more at risk of developing a chronic disease It is now arguable that common modern applications of zoning are health adverse

Fiscal and Regulatory Approaches

Our Car Culture me at 11

Document (likely) health care COST$ (auto dominated) and BENEFIT$ of (transit & active) transportation investments Working across sectors Research - Integration of health and urban planning research and data collection Practice - Training planners to understand health and health practitioners to understand more about planning Zoning for Health Health, safety, and welfare underpin development regulations and transportation investments Tying Transportation Funding to Measurable Performance

Change is Inevitable. In a progressive Country change is constant. Benjamin Disraeli, 1867