2021
DOI: 10.1016/j.jafr.2021.100204
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Using advanced spatial statistical analyses to determine socio-economic constructs of fresh food availability in Georgia, United States

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Cited by 4 publications
(2 citation statements)
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“…Several studies have also focused on accessibility to fresh and healthy foods regarding nutrition [60,61] or shopping behavior [62,63], with many including spatial data in their analysis [64][65][66][67][68]. Some studies have also accounted for spatial effects on food consumption or accessibility using spatial econometric models [69][70][71][72]. To the best of our knowledge, only one other study [53] has analyzed the accessibility of organic food with neighborhood or resident characteristics and found that the location of organic food retailers was positively associated with population density, education, and median housing value, with no disparities based on income.…”
Section: Accessibility To Organic Foodmentioning
confidence: 99%
“…Several studies have also focused on accessibility to fresh and healthy foods regarding nutrition [60,61] or shopping behavior [62,63], with many including spatial data in their analysis [64][65][66][67][68]. Some studies have also accounted for spatial effects on food consumption or accessibility using spatial econometric models [69][70][71][72]. To the best of our knowledge, only one other study [53] has analyzed the accessibility of organic food with neighborhood or resident characteristics and found that the location of organic food retailers was positively associated with population density, education, and median housing value, with no disparities based on income.…”
Section: Accessibility To Organic Foodmentioning
confidence: 99%
“…Other mapping studies have included infrastructural features of neighborhoods, such as roads, bus routes, sidewalks, and bicycle paths, and estimates of travel time to assess the impact of physical distances and locations on food access for residents (Kolak et al, 2018;Widener et al, 2011). Spatial statistical tools (Cressie, 2015) exist to help researchers account for spatial clustering and autocorrelation in quantitative analyses of food availability and access (e.g., Benez-Secanho et al, 2021). These etic mapping approaches have been criticized on several grounds including their narrow focus on physical distance and purchasing power as determinants of urban food access (Shannon et al, 2021;Taylor & Ard, 2015).…”
mentioning
confidence: 99%