walkable
TRANSCRIPT
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Neighborhood, Physical Activity, and
Health Evidence: socio-physical structure of
neighborhoods may relate to sufficient amounts ofhealth-enhancing physical activity and physicallyactive transportation (ALR and transportation
research) Relevance: Investigating how places are related to
health will require learning to characterize places aswell as we have learned to characterize the biologyand behavior of people (Diez02)
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Theory: Conceptualizing Neighborhood
Community is place-based
Neighborhoodis a spatial, geographically defined constructof place Galster 2001
Places and people, with the common sense limit as the
area one can easily walk over (Morris and Hess 1975) Practice: Residents and policy makers perceive
neighborhoods as meaningful congregations of people with
common interests. Research: Neighborhoods as key spatial units of
intervention, planning, and organization
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Theory: Models of Walkable
Neighborhood 1930-Present
1.Walkableneighborhood surroundedby a super block of arterials
2. Geographic extent: Super block of
approx. mile square3. Neighborhood Center: school, community center and
open space (Clarence Perry1929 and Garden CityMovement)
retail and open space (Congressfor New Urbanism 2000)
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Theory: Measuring Neighborhood 2
Fourscales (Galster 2001)
1.block face, or the area over which children can play withoutsupervision
2.defended neighborhood, smallest area with a corporate
identity contrasted to another area.
3.community of limited liability, district represented by a local
governmental body, with individual social participation
selective and voluntary.
4.the expanded community of limited liability, a sector of the
city
Objective(actual) and subjective (perceived) measures
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Method: DataWalk and Bike Communities Project
A 30-min telephone survey of 608 able-bodied
adults randomly sampled from 84 square miles ofurbanized King County, WA : Socio-demographic,
neighborhood perception, and walking behavior
data
Assessors GIS files with half-million parcels: More
than 200 environmental variables
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Methods-Neighborhood Measurements
Walk and Bike Communities Project
(1) Self-defined attributes of neighborhood from telephone
survey (2) Objective environmental measures: More than 200
environmental variables considered in the models
Within 1km and 3km of respondents home locations
Up to 3km distance to 24 destinations and 11
neighborhood centers hypothesized to beassociated with walking
Airline and Network
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Methods-BivariateWalk and Bike Communities Project
Amounts of walking (sufficiently for health) Walking sufficiently (>150 min/week)
Walking moderately (
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Methods- Multinomial logit models
Walk and Bike Communities Project
Odds of:
Walking sufficiently (>150 min/week) Walking moderately (
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Methods-Logistic regression model
Walk and Bike Communities Project
Dependent variables, odds of:
perceiving presence of grocery store, park, and school, in theneighborhood.
Independent variables: Corresponding objectively measured environmental variables,
and
Three categories of walking: non walkers, (reference
category), moderate walkers, and sufficient walkers
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THRESHOLDMEASURES
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THRESHOLD MEASURES
IMPLICATIONS FOR
URBAN PLANNING
Resident
Parcel
Density
> 18dua
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THRESHOLD MEASURES IMPLICATIONS FOR URBAN PLANNING
Block Size at Home Location
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THRESHOLD MEASURES IMPLICATIONS FOR URBAN PLANNING
Size of Office Complexes in 3km Buffer
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THRESHOLD MEASURES IMPLICATIONS FOR URBAN PLANNING
Neighborhood Center
1930s: Schools, Community Centers, and Open Space
Today: Food Environments and Retail
varae
nayses
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Distance to closest indiv idual and groups of destinations (bivariate analyses)
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
5,500
6,000Restaurant
Grocery store
NC_Grocery
+Restaurant
+Retail
NC_Church+School
NC_Office+Mixed Use
NC_Sports Facility+School
NC_Grocery+Restaurant
Daycare center
Library
Art gallery/museum
Non-Walker Suff icient Walker
y
Distance to Closest [Non-Walker; Sufficient Walker]
Signif icant in the models
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Implications
for Research
Mariner Area
1990 Census
6,300 people3,500 units
590 acres
Red=tract (2)
[4000 residents]
Orange=
Block group (4)
[1000 residents]
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Mean ObjectiveValues of
Distance toClosest
Grocery, Parks,and Schools[feet]
[Non-Walker/Suff-
Walker]
0
1000
2000
3000
Grocery Stores
ParksSchools
Non-walker/Presence Suff-Walker/Presence
Non-walker/Absence Suff-Walker/Absence
PERCEPTION
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Mean/ median objective values of
parcel counts
SUFFICIENT-WALKER
3.9
2.6
6.8
2.51.9
4.6
0.0
1.02.0
3.0
4.0
5.0
6.0
7.0
8.0
Grocery
Stores
Parks Schools
Presen ce Ab sen ce
NON-WALKER
3.22.9
5.8
1.4 1.9
4.3
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
Grocery
Stores
Parks Schools
Presence Absence
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Conclusions: THEORY
Sociologic measures; Behavior (walk no walk), Domain(personal, physical environmental variables), Outcome ofinterest (more walking)
Multiplicity of neighborhood definitions: Sufficient-Walkerversus Non-Walker neighborhood
Multi-level analysis: individual, and environmental(Galsters two first scales)
Scales/levels of neighborhood definition:
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Conclusions: Urban Planning PRACTICE
Center of walkableneighborhood = Grocery,
Restaurants, and daily Retail Thresholds measures of land use type and intensity
are achievable within current practices
Very small distances between land uses related toincreasing the probability of walking for health
smaller than those generally considered byplanners and designers. Scale of land use mix isvery small.
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Conclusions: RESEARCH METHODS Spatial unit: Census units wash out built environment of
walkableneighborhood
Both airline and network distances to destinations are useful tounderstand and interpret perception of neighborhood(Sufficient Walkers seem to know neighborhood based on
networks) Objective measures of environment significantly correlated with
perception measures for attributes of neighborhood
environmental attributes that are significantly associated withwalking
Consistently correlated for Sufficient-Walkers, but not for
Non-Walkers Both significant mainly in
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Conclusions: LIMITATIONS
Generalizability limited to spatial sample frame ofmedium-low residential densities and above and
residential areas in proximity to retail [not low-
density suburban areas, small towns or rural areas
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Thank you