S
Healthy Trees Healthy People:
Valuing and Expanding Urban Canopy
Vivek Shandas
Toulan School of Urban Studies and Planning
The Promise and Peril of Trees
Kalpataru – the divine tree of life Yggdrasill – Norse tree
connecting all of life
Jubokko – lives on human blood Zaqqum – tree from hell Jimenju – human head tree
Nariphon – the tree of sensual seduction
What Happened?
Humans
Trees
Culture
Health
Asthma
Obesity
Heart Disease
Hypertension
Isolation
Diabeties
Cancers
What Happened?
Humans
Trees
Culture
Health
Asthma
Obesity
Heart Disease
Hypertension
Isolation
Diabeties
Cancers
Three Objectives
S Provide a scientific basis for integrating trees into cities
S Trees as one part of your health care plan ($)
S Debut a trees and health application for strategically expanding tree in 13 cities of the U.S.
S Support a culture of trees into human dominated landscapes
S Solicit volunteers to test the online trees and health application
S Start telling stories about the benefits and challenges of integrating trees into our culture
Regulation based on ambient concentrations
• Most significant sources regulated --
emission inventories
• Focus on major, stationary sources
• Limited assessments of individual exposure
Methods for evaluating human exposure to air pollution
(1) Airshed modeling (100km2) – downscaling, integrated chemistry, transport modeling
(2) Dispersion modeling – GIS interpolation of model receptors
(3) Land use regression – Geospatial regression of land use parameters with ambient
measurements
(4) Proximity based – Location of pollutant source and associated ‘impact zone’
(5) Interpolation – From point measurement to continuous surface of air pollutant concentrations
State of the Science
Spatial Scale Matters
Chronic burden of near-roadway traffic
pollution in 10 European cities
(APHEKOM network) Perez et al (2013) European Respiratory
Journal
Hong Kong's roadside pollution is affecting
children's lungs
South China Morning Post, 31st Oct 2013
Traffic-Related Air Pollution and Asthma
Onset in Children:
A Prospective Cohort Study with Individual
Exposure Measurement
Jerrett et al, (2008) Environmental Health
Perspectives
Karner et al (2010) Near Roadway Air Quality: Synthesizing the findings from
real world data Environ. Sci. Technol.
Case Study: Portland Oregon
Portland
Lat. 45.52o N
Long. 122.68o W
Pop. 1.5 million
Area 1036 km2
Neighborhood Air Quality
~55 km
~48 km
144 sites
Mobile Air Pollutants
Explaining Variability in Air Quality
Land-use & land-cover
variables:
1. Roadways:
• Freeways
• Major Arteries
• Arteries
• Streets
2. Railroads
3. Industrial Area
4. Water
5. Area under tree
canopy
6. Area under non-
canopied veg
7. Population
8. Elevation
9. X (Longitude)
10. Y (Latitude)
24 circular buffers,
50m -1200m,
(50 m increments)
Mavko et al A sub-neighborhood scale land use regression model for predicting NO2
Sci Total Environ (2008)
Henderson et al Application of land use regression to estimate long-term concentration of
traffic-related nitrogen oxides and fine particulate matter Environ Sci Technol (2007)
Built Environment Factors
80% of the variation in air quality can be explained by six factors
Air Pollutant
TRAFFIC VOLUME ON FREEWAYS
within 1200m 19%
MAJOR ARTERIES within 500m 8%
ARTERIES within 350m 9%
POPULATION within 800m 10%
RAILROADS within 250m 4%
TREE COVER within 400m -12%
NO2(i)
….NO2 ppb, at site (i)
FWY_AADT1200
….freeway (m) in 1200m,
weighted with AADT
MAJ_ART500
…..major arteries (m) in 500m
ARTERIES350
….arteries (m) in 350m
STREETS(POP)800
….streets (m) in 800m,
weighted by the population
RAILS250
….railroads (m) in 250m
ELEVATION
….elevation (ft)
TREES400
….tree cover (m2 ) in 400m
X_DIST
….distance (m), along the east-west
axis, from the center of the city
Calculating Health Impacts
Regional Concentrations Dose Response Population 2013 (US Census Bureau)
Missed School Days
Emergency Room Visits
Hospitalizations
Lung Disease
Older Adults
Younger Adults
Lower Income
Minorities
Health Impact from Trees
Health Impact Incidence Estimate
(LUR) Economic Valuation
(in $1,000,000)
Asthma Exacerbation, Missed school days (4-12 years) 32,003 2.74
Asthma Exacerbation, One or More Symptoms (4-12 years) 93,480 14.60
Emergency Room Visits, Asthma (all ages) 258 0.08
HA, All Respiratory (65 and older) 289 5.35
HA, Chronic Lung Disease (less Asthma) (65 and older) 135 1.85
$24.62
Asthma
Exacerbation (4-
12 years)
Asthma Exacerbation
0 - 35
36 - 50
51 - 63
64 - 78
79 - 91
92 - 107
108 - 129
130 - 155
156 - 221
222 - 664
LUR:
93,480
Total of ~$25M in Health
Impacts due to One (1)
Air Pollutant (NO2)
Health Improvement from Trees
Health Impact Reduced Incidence
due to Trees Valuation of Benefit
(in $1,000,000)
Asthma Exacerbation, Missed school days (4-12 years) 6083 0.52
Asthma Exacerbation, One or More Symptoms (4-12 years) 17,663 2.76
Emergency Room Visits, Asthma (all ages) 46 0.01
HA, All Respiratory (65 and older) 49 0.92 HA, Chronic Lung Disease (less Asthma) (65 and older) 24 0.33
Sum Value: $4.54
%NO2 decrease due to trees
0.9 - 7.1
7.2 - 9.2
9.3 - 10.4
10.5 - 11.6
11.7 - 13
13.1 - 14.6
14.7 - 16.5
16.6 - 18.9
19 - 22.5
22.6 - 45
APP: Call to Action
T&H APP: Access
T&H APP: Prioritize
T&H APP: Plan
Solicitation Alert!
We’re Looking for a Few Good People
S Testing Existing Application (Spring 2015)
S Beta test the usability and effectiveness
S Apply to diverse audiences – public health, planners, natural resource managers, community organizations, etc.
S Collaboration (Summer 2015 +)
S Extend to other regions
S Integrate with existing tools and data
www.treesandhealth.org
Acknowledgements
Graduate Students: Meenakshi Rao, PhD candidate ESM
Anthony Thompson, MURP Candidate
Mandia Gonzales, MURP Candidate
Shavon Caldwell, MURP
Ellen Dorsey, MURP
Consultants: Advisory Council Members
PlanitGeo
Teams of other graduate and undergraduate students