Technical Papers
Feb 24, 2022

Breaking Out from Food Desert Boundaries: Using Travel Behavior and Location-Choice Modeling to Measure Food Accessibility

Publication: Journal of Urban Planning and Development
Volume 148, Issue 2

Abstract

In both rural and urban environments, transportation and access to food are coupled, especially in regions known as food deserts (FDs). However, transportation is not the only factor that may impede food access. This study identifies factors that influence where a household chooses to shop by creating a location-choice model using real travel patterns of low-income households in Dallas. While this analysis shows that travel time to the store remains the most important factor, the results indicate that accessibility also depends on the (1) age of household members (e.g., the presence of seniors or children), (2) access to mobility options, (3) built environment and urban development, (4) household size, and (5) employment. A new metric of food accessibility is formulated, incorporating multiple contributors to inaccess and overcoming limitations of the USDA FD definition. The results show that the proposed metric adapts to any level of aggregation, identifies where targeted interventions could be implemented, and allows for the integration of real travel and shopping behaviors to better coordinate urban planning approaches that increase access to food in the urban environment.

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References

Abel, K. C., and K. M. Faust. 2019. “Modeling food desert disruptors: Impact of public transit systems on food access.” In Construction Research Congress 2018: Infrastructure and Facility Management, edited by C. Wang, C. Harper, Y. Lee, R. Harris, and C. Berryman. Reston, VA: ASCE.
Access Development. 2016. The impact of retail proximity on consumer purchases. Salt Lake City: Access Development.
Aggarwal, A., A. J. Cook, J. Jiao, R. A. Seguin, A. Vernez Moudon, P. M. Hurvitz, and A. Drewnowski. 2014. “Access to supermarkets and fruit and vegetable consumption.” Am. J. Public Health 104: 917–923. https://doi.org/10.2105/AJPH.2013.301763.
Auchincloss, A., R. Riolo, D. Brown, J. Cook, and A. V. Diez Roux. 2011. “An agent-based model of income inequalities in diet in the context of residential segregation.” Am. J. Preventative Med. 40 (3): 303–311. https://doi.org/10.1016/j.amepre.2010.10.033.
Bawa, K., and A. Ghosh. 1999. “Model of household grocery shopping behavior.” Mark. Lett. 10: 149–160. https://doi.org/10.1023/A:1008093014534.
Bhat, C., A. Govindarajan, and V. Pulugurta. 1998. “Disaggregate attraction-end choice modeling: Formulation and empirical analysis.” Transp. Res. Rec. 1645: 60–68. https://doi.org/10.3141/1645-08.
Bhat, C. R., and J. Guo. 2004. “A mixed spatially correlated logit model: Formulation and application to residential choice modeling.” Transp. Res. Part B Methodol. 38: 147–168. https://doi.org/10.1016/S0191-2615(03)00005-5.
Block, D., and J. Kouba. 2006. “A comparison of the availability and affordability of a market basket in two communities in the Chicago area.” Public Health Nutr. 9 (07): 837–845. https://doi.org/10.1017/PHN2005924.
CBS. 2015. “VA rule change could double number of vets eligible for health care.” CBS News. Accessed April 13, 2018. https://www.cbsnews.com/news/va-rule-change-could-double-number-of-veterans-eligible-for-health-care/.
Chen, X., and J. Clark. 2013. “Interactive three-dimensional geovisualization of space–time access to food.” Appl. Geogr. 43: 81–86. https://doi.org/10.1016/j.apgeog.2013.05.012.
Chen, Y., A. Bouferguene, M. Shirgaokar, and M. Al-Hussein. 2020. “Spatial analysis framework for age-restricted communities integrating spatial distribution and accessibility evaluation.” J. Urban Plann. Dev. 146 (1): 04019021. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000537.
Daly, A. 1982. “Estimating choice models containing attraction variables.” Transp. Res. Part B Methodol. 16 (1): 5–15. https://doi.org/10.1016/0191-2615(82)90037-6.
Darko, J., D. L. Eggett, and R. Richards. 2013. “Shopping behaviors of low-income families during a 1-month period of time.” J. Nutr. Educ. Behav. 45 (1): 20–29. https://doi.org/10.1016/j.jneb.2012.05.016.
Deboosere, R., and A. El-Geneidy. 2018. “Evaluating equity and accessibility to jobs by public transport across Canada.” J. Transp. Geogr. 73 (5): 54–63. https://doi.org/10.1016/j.jtrangeo.2018.10.006.
Dutko, P., M. Ver Ploeg, and T. Farrigan. 2012. Characteristics and influential factors in food deserts. Economic Research Rep. No. 140. Washington, DC: USDA.
Fan, J., L. Kowaleski-Jones, and C. D. Zick. 2009. “Alternative measures of food environments.” In Proc., Conf. Understanding the Economic Concepts and Characteristics of Food Access. Washington, DC: USDA-Economic Research.
Gandhi, S., and G. Tiwari. 2021. “Sociopsychological, instrumental, and sociodemographic determinants of travel mode choice behavior in Delhi, India.” J. Urban Plann. Dev. 147 (3): 04021028. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000710.
Hamed, M. M., and S. M. Easa. 1998. “Integrated modeling of urban shopping activities.” J. Urban Plann. Dev. 124 (3): 115–131. https://doi.org/10.1061/(ASCE)0733-9488(1998)124:3(115).
LeDoux, T., and I. Vojnovic. 2013. “Going outside the neighborhood: The shopping patterns and adaptations of disadvantaged consumers living in the lower eastside neighborhoods of Detroit, Michigan.” Health Place 19: 1–14. https://doi.org/10.1016/j.healthplace.2012.09.010.
Liu, J. L., B. Han, and D. A. Cohen. 2015. “Beyond neighborhood food environments: Distance traveled to food establishments in 5 US cities, 2009–2011.” Prev. Chron. Dis. 12: 150065. https://doi.org/10.5888/pcd12.150065.
Liu, R., X. Gao, and C. Li. 2018. “Relationship between urban transport and residential location choice.” J. Urban Plann. Dev. 144 (2): 04018014. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000430.
Lloyd, R., and D. Jennings. 1978. “Shopping behavior and income: Comparisons in an urban environment.” Econ. Geogr. 54 (2): 157–167. https://doi.org/10.2307/142850.
Lomax, T. J., and D. L. Schrank. 2002. Using travel time measures to estimate mobility and reliability in urban areas. Rep. No. 1511-3. College Station, TX: Texas A&M Transportation Institute.
McCahill, C., and M. Ebeling. 2015. “Tools for measuring accessibility in an equity framework.” In Proc., Congress for the New Urbanism 23rd Annual Meeting, 1–10. Washington, DC: Congress for the New Urbanism.
McFadden, D. 1978. Modeling the choice of residential location, 72–77. Transportation Research Record 673. Washington, DC: TRB, National Research Council.
McKinnon, R. A., J. Reedy, M. A. Morrissette, L. A. Lytle, and A. L. Yaroch. 2009. “Measures of the food environment: A compilation of the literature, 1990–2007.” Am. J. Preventative Med. 36 (Suppl. 4): S124–S133. https://doi.org/10.1016/j.amepre.2009.01.012.
Miller, E. J. 2018. “Accessibility: Measurement and application in transportation planning.” Transp. Rev. 38 (5): 551–555. https://doi.org/10.1080/01441647.2018.1492778.
Morland, K., A. D. Roux, and S. Wing. 2002. “Supermarkets, other food stores, and obesity: The atherosclerosis risk in communities.” Am. J. Public Health 30 (4): 333–339.
Nerella, S., and C. R. Bhat. 2004. “Numerical analysis of effect of sampling of alternatives in discrete choice models.” Transp. Res. Rec. 1894: 11–19. https://doi.org/10.3141/1894-02.
Pérez-delHoyo, R., M. D. María, H. Mora, and V. Gilart- Iglesias. 2017. “Urban and building accessibility diagnosis using ‘Accessibility App’ in Smart Cities.” A Case Study 99–108. https://doi.org/10.3141/1894-02.
Rose, D. 2011. “Captive audience? Strategies for acquiring food in two Detroit neighborhoods.” Qual. Health Res. 21 (5): 642–651. https://doi.org/10.1177/1049732310387159.
Shannon, J., and W. J. Christian. 2017. “What is the relationship between food shopping and daily mobility? A relational approach to analysis of food access.” GeoJournal 82 (4): 769–785. https://doi.org/10.1007/s10708-016-9716-0.
Treuhaft, S., and A. Karpyn. 2010. The grocery gap: Who has access to healthy food and why it matters. Oakland, CA: Food Trust and Policy Link.
USCB (US census Bureau). 2018. 2013–2017 American Community Survey 5-year Estimates. Washington, DC: American Community Survey.
USDA-Economic Research Service. 2017. Food access research atlas—Documentation. Washington, DC: USDA-Economic Research Service.
USDA Report to Congress. 2009. Access to affordable and nutritious food: Measuring and understanding food deserts and their consequences. Washington, DC: USDA-Economic Research Service.
Ver Ploeg, M., ed. 2012. Access to affordable and nutritious food: Measuring and understanding food deserts and their consequences: Report to congress. Washington, DC: USDA-Economic Research Service.
Ver Ploeg, M., L. Mancino, J. E. Todd, D. M. Clay, and B. Scharadin. 2015. Where do Americans usually shop for food and how do they travel to get there? Initial findings from the national household food acquisition and purchase survey. A Report Summary from the Economic Research Service. Washington, DC: USDA-Economic Research Service.
Ver Ploeg, M., D. Nulph, and R. Williams. 2011. Mapping food deserts in the United States. Washington, DC: USDA-Economic Research Service.
Vojnovic, I., J. Lee, Z. Kotval-K, A. Podagrosi, P. Varnakovida, T. Ledoux, and J. Messina. 2013. “The burdens of place: A socio-economic and ethnic/racial exploration into urban form, accessibility and travel behaviour in the Lansing capital region, Michigan.” J. Urban Des. 18 (1): 1–35. https://doi.org/10.1080/13574809.2012.683403.
Walker, R. E., C. R. Keane, and J. G. Burke. 2010. “Disparities and access to healthy food in the United States: A review of food deserts literature.” Health Place 16 (5): 876–884. https://doi.org/10.1016/j.healthplace.2010.04.013.
Weng, J., Q. Tu, R. Yuan, P. Lin, and Z. Chen. 2018. “Modeling mode choice behaviors for public transport commuters in Beijing.” J. Urban Plann. Dev. 144 (3): 05018013. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000459.
Widener, M. J., and J. Shannon. 2014. “When are food deserts? Integrating time into research on food accessibility.” Health Place 30: 1–3. https://doi.org/10.1016/j.healthplace.2014.07.011.
Zhu, W. 2011. “Pedestrians’ decision of shopping duration with the influence of walking direction choice.” J. Urban Plann. Dev. 137 (2): 305–310. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000071.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 148Issue 2June 2022

History

Received: May 18, 2021
Accepted: Nov 10, 2021
Published online: Feb 24, 2022
Published in print: Jun 1, 2022
Discussion open until: Jul 24, 2022

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Authors

Affiliations

Kelsey C. Abel [email protected]
Dept. of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, 301 East Dean Keaton, Austin, TX 78712. Email: [email protected]
Gopindra Sivakumar Nair [email protected]
Center for Transportation Research, University of Texas at Austin, 3925 W Braker Lane, Austin, TX 78759. Email: [email protected]
Chandra Bhat, M.ASCE [email protected]
Dept. of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, 301 East Dean Keaton, Austin, TX 78712. Email: [email protected]
Kasey M. Faust, A.M.ASCE [email protected]
Dept. of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, 301 East Dean Keaton, Austin, TX 78712 (corresponding author). Email: [email protected]

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