Diet-Related Disease, Supermarket                        Location, and Access to                       Transportation Opti...
Abstract• This study is focused on identifying at risk populations  for diet related disease through the analysis of censu...
Objectives:• Identify a relationship between diet-  related disease and location of  supermarkets with respect to the  pop...
Methodology• Create 3 classes of maps:  – Disease Diagnosis  – Transit Options  – Supermarket Proximity to various transit...
2. Calculate       1. Create .8km                                              1. Obtain diagnosis                        ...
Diet-Related Disease Rates Index                                 µData Source: www.infoshare.org
Data source: www.infoshare.org
Transit IndexSource: NYC MTA developers resource
Bronx Subway Access                                   Convert polygons to census tract data61% of Bronxpop. liveswithin .8...
GeoProcessing the Transit Map                                      Clipped and erased layersOriginal polygon source       ...
Data source: US Census Bureau
Primary Input: Access To Transportation
Bus Access – Why is it not included?                         [#Bus stops per census tract/(population/area)]Homogenousdist...
Source data: spatiality.com, US Census Bureau
Supermarket Access74.7% of Bronxresidents livewithin .8km ofa supermarket,55% of subwaystops have asupermarketw/in 1 block
GeoProcessing the Supermarket Index   Original polygon source                                          “Clipped” and “Eras...
Primary Input: Supermarket Index                                   Data source: US Census Bureau
Primary Input: Access To Transportation                                          Data source: US Census Bureau
Primary Input: DRD IndexData source: US Census Bureau, www.infoshare.org
Combination of Indexes••                  +    -                            =
The Grand Finale!
Afterthought: Comparing Diagnosis and Food/Mobility  to get a perspective on the accuracy of my method
References and DatasetsCensus tract, water, population, car ownership data and shapefiles obtained from:• US Census Bureau...
Supermarket Location, Tranportation Options, and their relationship to Diet-Related Disease
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Supermarket Location, Tranportation Options, and their relationship to Diet-Related Disease

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A GIS analysis of the relationship between diet-related diseases, supermarket location, and transportation options

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Supermarket Location, Tranportation Options, and their relationship to Diet-Related Disease

  1. 1. Diet-Related Disease, Supermarket Location, and Access to Transportation Options: Identifying food-critical areas and vulnerable populations Christopher Bride GEP690 – Capstone project Dr. Andrew Maroko Spring 2012Diet-Related Disease, Supermarket Location, and Access to Transportation Options:Identifying food-critical areas and vulnerable populations by Christopher P. Bride is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.© 2012 C.Bride
  2. 2. Abstract• This study is focused on identifying at risk populations for diet related disease through the analysis of census tract data, supermarket locations, and area hospital diagnostic (ICD-9) codes.• The project is about population, not food deserts. An individual can live in a food desert and still have access to healthy food choices (specifically, supermarkets) throughout the day by their travel habits and various modes of transportation.• Transportation options will be analyzed to evaluate their influence on the health and decisions made regarding food.
  3. 3. Objectives:• Identify a relationship between diet- related disease and location of supermarkets with respect to the population• Determine at-risk census tracts• Incorporate transit options into findings
  4. 4. Methodology• Create 3 classes of maps: – Disease Diagnosis – Transit Options – Supermarket Proximity to various transit options• Create three indices – Transportation (subway and car) – Supermarket proximity – Diet-Related Disease Diagnosis (total DRD rates) Combine indices into one Master Index to reveal relationships between location, mobility and health
  5. 5. 2. Calculate 1. Create .8km 1. Obtain diagnosis Flow Chart population w/in 2. Join with Census Polygons with data from and outside Network Dataset tract table polygons infoshare.org 3. Convert to 4.Map according to 3. Calculate 4. Sum percentages per accessibility (not percentage of percentages of population w/ICD9 census tract lack of access) Mobility code relevant diagnosis Subway Index 5. Map according to Diagnosis Access Index Diet-Related 2.Convert to Disease 1. Obtain car data from census number of cars (from households Index with cars) Car 3. Calculate percentage of 4. Map according to car access per Access population w/car(one car per person) census tract Index 2.Calculate 1.Create .8km population w/in Polygons with and outside Network Dataset polygons Supermarket Master Index and Access Index final evaluation 3. Convert to 4.Map according to percentages per accessibility (not census tract lack of access)
  6. 6. Diet-Related Disease Rates Index µData Source: www.infoshare.org
  7. 7. Data source: www.infoshare.org
  8. 8. Transit IndexSource: NYC MTA developers resource
  9. 9. Bronx Subway Access Convert polygons to census tract data61% of Bronxpop. liveswithin .8kmof a subwaystop, 19.6%have accessto a car**Data source: US Census Bureau
  10. 10. GeoProcessing the Transit Map Clipped and erased layersOriginal polygon source Dissolve census tracts to rejoin fragments Union clipped and erase layers
  11. 11. Data source: US Census Bureau
  12. 12. Primary Input: Access To Transportation
  13. 13. Bus Access – Why is it not included? [#Bus stops per census tract/(population/area)]Homogenousdistribution of busstops per populationdensity would ofhave a net effect of 0on the mobilityindex.
  14. 14. Source data: spatiality.com, US Census Bureau
  15. 15. Supermarket Access74.7% of Bronxresidents livewithin .8km ofa supermarket,55% of subwaystops have asupermarketw/in 1 block
  16. 16. GeoProcessing the Supermarket Index Original polygon source “Clipped” and “Erased” layersClip and erase “Union” “Dissolve” census tracts to rejoin fragments
  17. 17. Primary Input: Supermarket Index Data source: US Census Bureau
  18. 18. Primary Input: Access To Transportation Data source: US Census Bureau
  19. 19. Primary Input: DRD IndexData source: US Census Bureau, www.infoshare.org
  20. 20. Combination of Indexes•• + - =
  21. 21. The Grand Finale!
  22. 22. Afterthought: Comparing Diagnosis and Food/Mobility to get a perspective on the accuracy of my method
  23. 23. References and DatasetsCensus tract, water, population, car ownership data and shapefiles obtained from:• US Census Bureau. (2008). 2008 tiger/line® shapefiles for: New York. Retrieved from http://www2.census.gov/cgi-bin/shapefiles/state-files?state=36Diet-Related Disease Diagnosis data obtained from:• Hospital sparks/icd-9 code data for the Bronx, NY. (2012, February 1). Retrieved from http://www.infoshare.orgSubway station point, subway line, bus station, and bus line data sets obtained from:• New York City MTA. (2012, February 1). MTA Developers Resources. Retrieved from http://www.mta.info/developers/download.html• Romalewski, S. (2010, July 8). MTA GIS data update. Retrieved from http://spatialityblog.com/2010/07/08/mta-gis-data-update/Supermarket location data obtained from: GoogleEarth query (2012)

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