SWAMPED Mapping and Measuring Food Access in Cleveland€¦ · SWAMPED Mapping and Measuring Food...
Transcript of SWAMPED Mapping and Measuring Food Access in Cleveland€¦ · SWAMPED Mapping and Measuring Food...
SWAMPEDMapping and Measuring Food Access in Cleveland
Md Rumi ShamminOberlin College (OC)
Paul BoehnleinWestern Reserve Land Conservancy (WRLC)
Mimi Stern (OC ‘16)
Isabella McKnight (OC ‘15)
http://www.aristotledesigngroup.com/
Prologue ...
Healthy Food Access ↦ Urban Sustainability
Food Access ↔ Food Justice
Food Swamps ⇎ Food Desert
Study Area - Cleveland, Ohio
socialjusticefund.org
Food Swamp definedproximity, prevalence & affordability of unhealthy
foods inundating more desirable food options
❏ Unhealthy - fast food, liquor stores ...
❏ Healthy - supermarkets, grocery stores, farmer’s markets ...
www.neofoodweb.orgwksu.org www.cleveland.comwww.ideastream.org
Questions We Asked ...
➢ Do some neighborhoods have overabundance of
undesirable food sources relative to the presence of
desirable sources in Cleveland?
➢ Are neighborhoods in food swamps correlated with
demographic characteristics such as race and income?
➢ What can we learn about food access, food justice and
related policies from this analysis?
Methods We Used ...
➢ Create a database of food sources
➢ Create a database of homes
➢ Organize demographic data for homes
➢ Spatial analysis using GIS to measure proximity and access
○ Network analysis was used instead of linear distances
➢ Compare results across block groups
➢ Explore policy implications of findings
Census Reporter
Proximity to Healthy Food ...
Paired Samples Test
Paired Differences t df Sig. (2-
tailed)
Mean Std.
Deviation
Std. Error
Mean
95% Confidence Interval of the
Difference
Lower Upper
FIVE_CLOSEST_
AVERAGE_UNHEALTHY_FEET -
FIVE_CLOSEST_
AVERAGE_HEALTHY_FEET
-3197.19893 2034.51765 5.88880 -3208.74087 -3185.65699 -542.929 119362 .000
No Food within Walking Distance ...
Quarter Mile = 47%
Half Mile = 11.7%
1 Mile = 0.06%
Total # of homes = 119,363
http://getinmymouf.com/2014/07/10-reasons-not-to-live-in-the-burbs-if-you-enjoy-good-
food/
Inundation Explained ...
Inundation = #unhealthy/#healthy
5 = Extreme = >8
4 = High = 6 - 8
3 = Moderate = 4 - 6
2 = Low = 2 - 4
1 = Very low = 0 - 2
http://www.canadianunderwriter.ca/insurance/report-documents-populations-businesses-in-california-tsunami-inundation-zone-1002169060/
1 2 3 4 5
Inundation categories (1 = Very low; 5 = Extreme)
Inundation
Correlations
I PERCENT_AFRICAN_
AMERICAN_mean
PERCENT_
WHITE_mean
PERCENT_
HISPANIC_mean
PERCENT_
OTHER_mean
INUNDATION Pearson
Correlation
1 -.007 -.013 .312** -.088
Sig. (2-
tailed)
.886 .789 .000 .061
N 459 459 459 459 459
Food SWAMP Explained ...
Extreme poor, extreme inundation
High low-income, high
inundation
Moderate not low-income, high
inundation
Low low-income, low inundation
Very Low not low-income, very low
inundation
Income Categories
5 = Poor (<$20,500)
4 = Low income ($20,500 - $37,800)
3 = Lower middle income ($37,800 - $79,300)
2 = Upper middle income ($79,300 - $120,800)
1 = High income (>$120,800)
SWAMPED
ANOVA
R squared = 0.15
Unstandardized
Coefficients
Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 7.505 3.922 1.914 .056
PERBLACKBYWHITE .006 .010 .041 .619 .536
PERCENT_AFRICAN_AMERICA
N_mean
.049 .040 .311 1.221 .223
PERCENT_WHITE_mean -.011 .040 -.063 -.271 .786
PERCENT_HISPANIC_mean .192 .028 .440 6.819 .000
PERCENT_OTHER_mean .046 .067 .040 .685 .493
a. Dependent Variable: SWAMP
SWAMPED Population: by Race
SWAMPED Total% AA% W% H% O% # of Blocks
Very low 12.8% 9.6% 17.3% 11.0% 12.2% 59
Low 40.4% 39.2% 41.1% 34.6% 46.0% 180
Moderate 21.8% 22.9% 20.5% 21.1% 19.4% 99
High 20.4% 24.0% 16.4% 23.3% 16.7% 94
Extreme 4.6% 4.3% 4.6% 10.0% 5.7% 25
Moderate - Extreme 46.8% 51.2% 41.6% 54.4% 41.8% 218
Racial Profile of Cleveland
Racial Profile of Cleveland
Racial Profile of Cleveland
Racial Profile of Cleveland
Income & Poverty in Cleveland
Income & Poverty in Cleveland
Income & Poverty in Cleveland
Inundation
SWAMPED
Conclusions ...
➢ In Cleveland, homes have unhealthy food sources
closer on average compared to healthy food sources.
➢ Higher percentages of African American and Hispanic
populations are SWAMPED.
Conclusions ...
➢ Low-income and low-access characteristics are
correlated with obesity, diabetes, some cancers, mental
illness, heart disease, high cholesterol, and mortality
rates (CDC).
➢ Policy efforts need to be spatially calibrated to improve
access to healthy food and advance food justice.
Conclusions ...
➢ Policy efforts need to be spatially calibrated to improve
access to healthy food and advance food justice.
Questions?student.unsw.edu.au