Identifying Food Deserts in Brandon, Manitoba Using GIS Peter Brandt1, Dylan McNaughton1, Dr. Dion J. Wiseman1, Dr. Derrek Eberts1, Nancy McPherson2, Erin May3 1Brandon University, Department of Geography; 2Brandon University, Department of Health Studies; 3Brandon Neighbourhood Renewal Corporation Introduction Food deserts are a significant problem in many urban areas worldwide, and are an issue for city and food officials. The main purpose of this project was to determine if there are food deserts in Brandon, Manitoba, Canada. According to Smoyer-Tomic, et al. (2006), food deserts are "Neighbourhoods where residents have little or no access to stores or restaurants that provide healthy and affordable foods”. The basic idea of food deserts are that people may have limited access to healthy food due to socioeconomic constraints or health issues that limit their mobility. As a result, major supermarkets located far from where they live may be inaccessible. This project identifies food deserts using the following criteria: walking or transit distance to grocery stores, proportion of residents who walk or take the bus, and income level as an indicator of mobility. Background Food deserts are a significant problem in many urban areas worldwide, and are an issue for city and food officials. The main purpose of this project was to determine if there are food deserts in Brandon, Manitoba, Canada. According to Smoyer-Tomic, et al. (2006), food deserts are "Neighbourhoods where residents have little or no access to stores or restaurants that provide healthy and affordable foods”. The basic idea of food deserts are that people may have limited access to healthy food due to socioeconomic constraints or health issues that limit their mobility. As a result, major supermarkets located far from where they live may be inaccessible. This project identifies food deserts using the following criteria: walking or transit distance to grocery stores, proportion of residents who walk or take the bus, and income level as an indicator of mobility. Grocery Stores In this study, the first variable that was considered was which food vendors should be included in this analysis. The type and location of food vendors in Brandon was provided by the Brandon Neighbourhood Renewal Corporation. These data were imported as points to ArcGIS and were categorized into grocers, specialty stores, bakeries/baked goods, meat markets, health food stores, and convenience stores. For the purposes of this project we used only grocers and did not consider the other subcategories of food retailers. A large grocery store was defined as a store greater than 30,000 square feet, with a produce, deli, dairy, and frozen aisle section (e.g. big box store). An intermediate grocery store was defined as less than 30,000 square feet, with more than two cash registers, and two or more aisles found in large grocery stores. A small grocery store was defined as one with two or less cash registers, and one or more aisles found in large grocery stores. This project used Statistics Canada census data from 2006 at the dissemination area level to determine income level areas in Brandon, Manitoba. For this analysis, risk (or level of accessibility) was evaluated based on income level and proportion of residents who walk or take the bus. Risk associated with income level was evaluated as the percentage of households with an income of less than $15,000. However, risk based on income is not the only to be considered when identifying a food desert. This analysis also considered how many people walk or use the bus. This was determined by identifying the employed labour force 15 years and over who walk or take public transit and as a percentage of the total employed labour force 15 years and over. These two metrics were then added to determine a combined food desert risk index. This produces an index between zero and two, where the higher the index value the higher risk it has of being a food desert. For this project, both the area within walking distance and the area within bus distance of grocery stores were determined, using the ArcGIS Network Analyst toolset. The walking service area was determined by combining the service area of the small, intermediate, and large grocery stores using the Brandon road network. The service area of large grocery stores was established as a road, rather than straight line, distance of 1000 metres, 500 metres for intermediate grocery stores, and 390 metres for small. These distances were based on the London study by Larsen (2008), which considered supermarkets of comparable size to our large grocery stores. The service area of intermediate grocery stores was established as a distance of 100 metres further than one would be expected to walk to a bus stop, and for small grocers, somewhat less than this distance. In the London study, Larsen (2008) reasoned that a ten minute bus ride would be an appropriate amount of time to travel on a bus, which is about 3 kilometres. In addition, is was assumed that an individual would walk up to 500 metres to a bus stop. This resulted in a 3500 metre service area for supermarkets. However, for this project an alternative method was used to determine the bus service area based on the assumption that a round trip of 3000 metres would be the maximum distance travelled by bus as measured from the bus stops. To determine the bus stops that were 1500 metres from the grocery stores, a network service area was created around the large and intermediate grocery stores using the bus route network. The bus route network was created using Brandon Transit data from Google Maps. Small stores were not included in this analysis because it was assumed that if a person were to ride a bus to get groceries they would travel to a large or intermediate store. Due to the one way nature of the bus routes, some bus stops were within a 1500 metre trip to the grocery store, but not a 1500 metre trip back, or vice versa. To account for this, a “closest facility analysis” was performed on the bus stops within the bus service area which calculated the distance from each bus stop to the nearest grocery store. A sort was then performed to determine which bus stops were within 1500 metres of the stores. The walking service area of these bus stops was then determined using the road network and a distance of 400 metres rather than 500 metres, which is the approximate service area for a city bus stop according to Foda (2010). Results The food deserts were then determined by displaying the combined walking and bus service areas with the food desert risk index. The areas that have the highest index values (red) and are outside the combined walking and bus service areas of grocery stores (green) are at highest risk of being a food desert. Conversely, areas with the highest index values (red) but are within the combined service areas (green) are not considered at risk because of the assumed ease of access. A Closer Look The result of displaying the combined walking and bus service areas with the food desert risk index showed a number of high risk areas which were not covered by the combined service areas. Figure 10 shows two areas, one on the eastern edge of downtown and the other in the southern portion of the city, with high risk index values which fall just outside the combined service area of grocery stores. Those residing in these potential food deserts may be forced to purchase their groceries at a convenience store nearby or travel the additional distance to purchase them at a grocery store. Figure 11 shows the area around Brandon University, which has a moderate risk index and lies just outside the combined service areas of grocery stores. However, students who live on campus may not have been included as residents of this area in the census data. This may have skewed the food desert risk index result, as the income level data would haven been altered by the inclusion of students living on campus. Consequently, this area may potentially be a food desert as well and students living in the university residences without vehicle access are left to rely on the cafeteria for nutritious food. References Foda, Mohamed A., and Ahmed O. Osman. "Using GIS for Measuring Transit Stop Accessibility Considering Actual Pedestrian Road Network." Journal of Public Transportation 13.4 (2010): 23-40. Web. Glanz, Karen, James F. Sallis, Brian E. Saelens, and Lawrence D. Frank. "Nutrition Environment Measures Survey in Stores (NEMS-S)Development and Evaluation." American Journal of Preventive Medicine 32.4 (2007): 282-89. Print. Larsen, Kristian, and Jason Gilliland. "Mapping the Evolution of 'food Deserts' in a Canadian City: Supermarket Accessibility in London, Ontario, 1961–2005." International Journal of Health Geographics 7.1 (2008): 16. Print. "Planning / Baltimore Food Policy Initiative / Food Deserts." Planning / Baltimore Food Policy Initiative / Food Deserts. Johns Hopkins Center for a Livable Future, 2012. Web. 25 Apr. 2014. <http://www.baltimorecity.gov/Government/AgenciesDepartments/Planning/BaltimoreF oodPolicyInitiative/FoodDeserts.aspx>. "Routes & Schedules." Routes & Schedules. Brandon Transit, n.d. Web. 25 Apr. 2014. <http://brandontransit.ca/route-schedules>. Smoyer-Tomic, Karen E., John C. Spence, and Carl Amrhein. "Food Deserts in the Prairies? Supermarket Accessibility and Neighborhood Need in Edmonton, Canada*." The Professional Geographer 58.3 (2006): 307-26. Print. Statistics Canada. 2007. Population and Dwelling Counts, for Canada, Provinces and Territories, 2006 and 2001 Censuses, 100% Data (table). "Population and dwelling count highlight tables, 2006 Census." "2006 Census: Release topics." Census. Statistics Canada Catalogue no. 97-550-XWE2006002. Ottawa, Ontario. March 13. http://www12.statcan.ca/english/census06/data/popdwell/Table.cfm?T=101 (accessed November 3, 2008.)
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