Wednesday, March 17, 2010

Final: Proximity of Fast Food Restaurants to Schools

Fast Food Restaurants Near Schools Presents a Public Health Problem

Introduction:

The county of Los Angeles should pass an ordinance forbidding the placement of fast food chains within one-half mile of any middle, intermediate, preparatory, or high school. For many years now, childhood obesity has been an increasing epidemic throughout America. In Los Angeles, this trend is no different.

This analysis will attempt to answer a basic question. I will analyze whether middle and high schools are especially susceptible to a “clustering” of fast food establishments. Are fast food joints generally within walking distance of schools?

There are numerous limitations in this project. For instance, it is difficult and unnecessary to geocode and include every single fast food chain location. I have chosen a sample of six fast food chains that I feel offer an exceptional sample size and distribution for the county of Los Angeles. Further, it is difficult to define “fast food” and discern this definition from unhealthy food in general. For this project, “fast food” will be defined by restaurants that provide extremely quick access to, for the most part, very unhealthy hamburgers, French fries, and other fried foods. Sandwich joints such as Subway and Quiznos are excluded, as they offer a much more healthy array of choices.


Method:


As evidence of this problematic trend, I have conducted and provided GIS evidence below. School data was gathered from UCLA’s GIS data repository. The original geocoded school data was from the Geographic Names Information System (GINIS), the Federal Government’s repository of location information. I then chose to record the addresses of six of the largest fast food chains in the nation. I recorded addresses for 10 Arbys restaurants, 54 Burger King restaurants, 27 Carls Junior restaurants, 169 Jack in the Box restaurants, 103 KFC restaurants, and 259 McDonalds restaurants. I found all of these exact addresses on the websites of the respective fast food chains, and then created an address locator based on a Los Angeles County shapefile. The source of the Los Angeles County shapefile is the 2003 Tele Atlas Dynamap. The locations of the above 622 fast food restaurant locations were then geocoded on the GIS.

The school data was carefully analyzed, and only middle and high schools were included in the final GIS. In the analysis, only schools including the key words “middle,” “junior high,” “intermediate,” “preparatory,” “academy,” and “high” school were placed on the map. All others were excluded. Most of the excluded schools were elementary, primary, and indistinguishable schools. In total, the final GIS includes 546 middle and high schools. I have chosen to focus purely on middle and high schools because it is these students that have the best access to transportation and money. Many middle and high school students walk home, whereas elementary age children are generally picked up by parents or caregivers after school. Also, many high school students work after-school jobs, leading to excess income that can easily be spent on fast food.

To conclude my analysis, I used a buffer analysis to discern which schools were located in close proximity to fast food restaurants. A one-half mile buffer was placed around all 546 middle and high schools. I also placed a one quarter mile buffer for more detailed analysis.


Results:


The below GIS analysis shows most of Los Angeles County, the 546 middle and high schools, along with the exact locations of the 622 fast food locations.



From my buffer analysis, there are 106 McDonalds restaurants contained within the one-half mile school buffer. Further, there are 48 KFC restaurants, 7 Arbys restaurants, 77 Jack in the Box restaurants, 29 Burger King restaurants, and 14 Carls Junior restaurants. In total, 281 of the 622 fast food restaurants are situated within a proximity of one-half mile of the 546 middle and high schools.

However, it is difficult to discern valuable information from a GIS of such an extensive area. I have created multiple insets of select regions of Los Angeles County that illustrate the same data in greater detail. Also in the following maps I have added a .25 mile buffer around every school, to enhance the detail. First off, I have created a map of the Santa Monica coastal region.



From looking at this map, it is clear that fast food restaurants are not concentrated in this region. However, almost every food location is within easy walking distance of a school. Olympic High School has an Arbys and a Jack in the Box within the quarter mile buffer. Santa Monica High School, Webster Middle School, and University Senior High School encounter similar situations. In the next map, we examine Torrance and Redondo Beach.



Bishop Montgomery High School located in the middle-left of the map is across the street from a Burger King, and is easily within walking distance of a McDonalds and a Jack in the Box. Almost every fast food joint in this inset has chosen a location within half a mile of a school. While there are numerous exceptions, there is an undeniable trend. Next we will examine a map of Van Nuys.



The trend in Van Nuys and the San Fernando Valley is not quite as evident, in fact in some areas it does not appear to exist at all. However, we still observe instances where fast food restaurants are located dangerously close to middle and high schools. Canoga Park High School is situated across the street from an Arbys. Taft Senior High School is located very near to a Jack in the Box. Even though the trend is not as evident in this map, there is a fast food joint within easy walking distance of every middle and high school shown. Next we will analyze South Central Los Angeles.



On the whole, it appears as though fast food restaurants have chosen not to open chains in South Central. This is completely opposite the effect noticed in other regions of the county. Yet, the trend can still be recognized, especially near Compton High School. A McDonalds is conveniently located within walking distance of Compton High School, Roosevelt Middle School, and Brethren High School. While the fast food joints are not as prevalent, the trend can still be recognized. Next we will analyze the West side of Los Angeles.



Fast food restaurants are incredibly prevalent in this region of the county. Almost every middle and high school shown on this map is situated near a fast food restaurant. In many cases, multiple fast food chains reside within the half and quarter mile buffers I have established. This map demonstrates the many public health concerns involving the proximity of schools to fast food chains. Our final map of Hollywood will further amplify this growing problem.



This map of the Hollywood region appears very similar to the map of West Los Angeles. Once again, the general trend is observed. Fast food restaurants consciously operate within walking distance of schools. Cutler Academy and Virgil Middle School are within half a mile of 5 of the 6 fast food chains I have chosen to analyze. In fact, KFC has 2 locations within half a mile of Virgil Middle School. Students who attend school in this region have ample fast food restaurants to choose from.


Conclusion and Discussion:


It is important to note that I have only chosen 6 of the most popular fast food chains to analyze. While these provide an excellent sample size, there are dozens of other chains, each with locations near middle and high schools. After conducting the GIS buffer analysis, it becomes clear that fast food chains prefer to situate themselves near schools to feed hungry students after school. It makes complete economic sense for these corporations.


Over the past few decades, student-age children have consumed increasing amounts of unhealthy foods from fast food establishments. Approximately three out of every ten children consume fast food for at least one meal on a daily basis. Dietary lifestyles such as these are unhealthy, as most fast food is consistently associated with dangerous fat and caloric intake. Further, a fast food diet lacks fruits and vegetables, leading to decreased intakes of iron, fiber, and other vital vitamins. Children that rely on a fast food diet are far more susceptible to obesity and as a result, diabetes (especially type II diabetes). The best way to address this growing problem is to focus on the dietary environment that schoolchildren are exposed to on a daily basis. It is incredibly important that children receive a balanced diet, and daily fast food consumption fails to supply this requirement.


The County of Los Angeles should seriously consider a proposition to prevent any new fast food chain from opening within one half mile of any middle or high school.


Sources:


www.jackinthebox.com

www.mcdonalds.com

www.arbys.com

www.burgerking.com

www.carlsjr.com

www.kfc.com

Wednesday, March 10, 2010

Final Quiz

1. Most Populous Countries

1. China (greatest population)
2. India
3. United States
4. Indonesia
5. Russia
6. Brazil
7. Pakistan
8. Japan
9. Bangladesh
10. Nigeria

2. 3 Most Populous Countries in Africa

1. Nigeria (most populated)
2. Egypt
3. Ethiopia

3. 5 Countries of South America with the Lowest Population

5. Ecuador (lowest population)
4. Chile
3. Venezuela
2. Peru
1. Argentina (greatest population of the bottom 5)

4. How many rivers are in the Amazon River System?

15 Rivers

5. What cities are within 500 km of the Amu Darya and Syr Darya rivers?
(in no particular order)
Leninobod
Jalabad
Zareh Sharan
Turgay
Zhezkazgan
Taldykorgan
Kyzylorda
Almaty
Bishkek
Talas
Karakol
Nukus
Shymkent
Dashkhovuz
Urgench
Naryn
Tashkent
Namangan
Andizhan
Osh
Gulistan
Fergana
Dzhizak
Navoi
Bukhara
Samarkand
Kashi
Chardzhev
Karshi
Dushanbe
Ashgabat
Kulob
Qurghonteppa
Mary
Termez
Feyzabad
Taloqan
Konduz
Mazar-E Sharif
Sheberghan
Aybak
Baghlan
Meymaneh
Mahmud-E Eraqi
Charikar
Qal eh-ye
Asadabad
Bamian
Mehtar Lam
Kabul
Chaghcharan
Mayda Shahr
Srinagar
Peshawar
Baraki Barak
Islamabad
Rawalpindi
Gardez
Ghazni
Dzhambul

6. To the nearest 100,000 what is the total population of countries within 300 km of Iran?

516,500,000

7. Most and Least populated landlocked countries?

Least Populated = Vatican City
Most Populated = Ethiopia

8. Identify all countries within 300 kilometers of Veszprem, Hungary.

Poland
Czech Republic
Slovakia
Austria
Slovenia
Hungary
Romania
Croatia
Bosnia & Herzegovina
Yugoslovia

9. Which country has the 4th smallest area?

Tuvalu

10. What countries border Chad?

Libya
Niger
Sudan
Nigeria
Central African Republic
Cameroon

Bonus:

K
T
C
U
S
T
C

Tuesday, March 9, 2010

Week 9: Interpolation








As of March 3, rainfall totals measured at most of the Los Angeles weather stations was higher than the seasonal normal amount. This is especially significant as Spring is still almost a month away, and season-to-date rain totals are likely to further increase before the end of the rainy season. The interpolation graphs above illustrate the areas of Los Angeles that receive high and low precipitation totals. As can be observed, the season-to-date analysis and the normal seasonal totals are nearly identical, with the same stations measuring nearly identical amounts of rain. For instance in all six maps, it can be noticed that most rain falls in the mountains, with lower amounts falling in the high desert of Lancaster and the coastal regions, such as Santa Monica.

I find the process of interpolation to be particularly fascinating, and its wide-reaching effects are immediately noticeable. For instance, this lab project used real-world, real-time data to carry out a realistic analysis of Los Angeles rain totals. Interpolation is a method that uses data from certain geographical points, in this case rain totals. It then will use this data to fill in the gaps between points to illustrate a constant phenomenon. In this lab, I used the Inverse Distance Weighted (IDW) interpolation technique as well as the Kriging interpolation technique.

I believe that the IDW method is a more effective way of illustrating the pattern of rainfall totals in this circumstance. The IDW technique is heavily influenced by nearby points, and less influenced by data points at a greater distance. Los Angeles County is a compact region that does not cover extensive area, all of the data points are fairly close together. When comparing the IDW map and the Kriging map, the IDW output appears much more fluid and factual. The Kriging output is much more rigid and jumpy, almost as though it were unsure of its data predictions. While each technique is useful, the IDW method is superior in this particular situation.