A comparison of raster-based travel time surfaces against vector-based network calculations as applied in the study of rural food deserts

Mulrooney, Timothy; Beratan, Kathi K.; McGinn, Christopher M.; Branch, Benjamin

doi:10.1016/j.apgeog.2016.10.006

Cited by 21 publications

(11 citation statements)

References 29 publications

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“…These studies have evaluated how food desert incidence is related to the geographic distribution of alternative food retailers (Colón-Ramos et al, 2018;Coughenour, Bungum, & Regalado, 2018;McDermot, Igoe, & Stahre, 2017;Vaughan, Cohen, Ghosh-Dastidar, Hunter, & Dubowitz, 2017), and have documented the shopping behavior of food desert residents with barriers in accessing transportation and varieties of grocery stores (Gray et al, 2018;Hardin-Fanning & Gokun, 2014;Ma et al, 2018;Zachary, Palmer, Beckham, & Surkan 2013). The geographic information system (GIS) is one of the most adopted techniques to measure households' spatial accessibility to food retail stores (e.g., Giang, Karpyn, Laurison, Hillier, & Perry, 2008;Michimi & Wimberly, 2010;Mulrooney, Beratan, McGinn, & Branch, 2017;Xu, 2014;Zenk, Schulz, Israel, James, Bao, & Wilson, 2005).…”

Section: Understanding Issues About Food Desertsmentioning

confidence: 99%

Introducing an innovative design to examine human-environment dynamics of food deserts responding to COVID-19

Liang

Kurkalova

Beni

et al. 2021

J. Agric. Food Syst. Community Dev.

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Food desert communities face persistent barriers in accessing affordable fresh and healthy foods, particularly for the underserved and limited-resourced minority population. This research brief proposes an integrated design concept examining human-environment dynamics of food deserts to identify strategies that would provide effective planning to prevent, prepare for, or respond to disruptive events such as natural disasters or pandemics in the future. The North Carolina example we describe identifies the potential overlapping areas between food deserts and number of COVID-19 cases to demonstrate how an unpredictable event could exacerbate public health in food desert communities to a greater extent than in communities with better food access, availability, and accessibility. The improved understanding of food systems could help in addressing unprecedented challenges such as those due to the COVID-19 crisis.

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Section: Understanding Issues About Food Desertsmentioning

confidence: 99%

Introducing an innovative design to examine human-environment dynamics of food deserts responding to COVID-19

Liang

Kurkalova

Beni

et al. 2021

J. Agric. Food Syst. Community Dev.

Self Cite

View full text Add to dashboard Cite

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“…One of the reasons was the fact that the Fig. 1: Types of distance Source: Apparicio et al (2008) GIS-based spatial analysis has become an essential tool for food system research, and the proximity of ces to large supermarkets or supercentres is a commonly-used proxy for access (Mulrooney et al, 2017). ealthy and inexpensive foods are usually offered by large-scale retail units (as reported by Andreyeva et 8, or Križan et al, 2015), the analysis presented here is focused on mapping accessibility to arkets.…”

Section: Study Areamentioning

confidence: 99%

“…As Cromley and McLafferty (2002, p. 234) underline: "GIS ily emphasise accessibility, the geographical dimension of access." Recent research on food deserts makes use of an approach based on Geographic Information Systems (GIS)-based analysis (Shannon, IS-based spatial analysis has become an essential tool for food system research, and the proximity of es to large supermarkets or supercentres is a commonly-used proxy for access (Mulrooney et al, 2017).…”

Section: Study Areamentioning

confidence: 99%

Comparing two distance measures in the spatial mapping of food deserts: The case of Petržalka, Slovakia

Bilková

Križan

Horňák

et al. 2017

Moravian Geographical Reports

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Over the last twenty years or so, researchers’ attention to the issue of food deserts has increased in the geographical literature. Accessibility to large-scale retail units is one of the essential and frequently-used indicators leading to the identification and mapping of food deserts. Numerous accessibility measures of various types are available for this purpose. Euclidean distance and street network distance rank among the most frequently-used approaches, although they may lead to slightly different results. The aim of this paper is to compare various approaches to the accessibility to food stores and to assess the differences in the results gained by these methods. Accessibility was measured for residential block centroids, with applications of various accessibility measures in a GIS environment. The results suggest a strong correspondence between Euclidean distance and a little more accurate street network distance approach, applied in the case of the urban environment of Bratislava-Petržalka, Slovakia.

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“…The assumption noted above is clearly satisfied if cost is measured on a ratio scale. Cost of driving in US dollars per mile (Hallett and McDermott 2011), inverse of travel speed in minutes per meter (Mulrooney et al 2017), and energy expense per unit distance (Ray et al 2002) are such examples. There are cases, however, in which cost values, though encoded numerically, only reflect their rank order, and their differences are defined arbitrarily.…”

Section: Introductionmentioning

confidence: 99%

An experimental analysis of least-cost path models on ordinal-scaled raster surfaces

Murekatete

Shirabe

2020

International Journal of Geographical Information Science

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Selection of optimal paths or sequences of cells from a grid of cells is one of the most basic functions of raster-based geographic information systems. For this function to work, it is often assumed that the optimality of a path can be evaluated by the sum of the weighted lengths of all its segmentsweighted, i.e. by the underlying cell values. The validity of this assumption must be questioned, however, if those values are measured on a scale that does not permit arithmetic operations. Through computational experiments with randomly generated artificial landscapes, this paper compares two models, minisum and minimax path models, which aggregate the values of the cells associated with a path using the sum function and the maximum function, respectively. Results suggest that the minisum path model is effective if the path search can be translated into the conventional least-cost path problem, which aims to find a path with the minimum cost-weighted length between two terminuses on a ratio-scaled raster cost surface. On the other hand, the minimax path model is found mathematically sounder if the cost values are measured on an ordinal scale and practically useful if the problem is concerned not with the minimization of cost but with the maximization of some desirable condition such as suitability.

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A comparison of raster-based travel time surfaces against vector-based network calculations as applied in the study of rural food deserts

Cited by 21 publications

References 29 publications

Introducing an innovative design to examine human-environment dynamics of food deserts responding to COVID-19

Introducing an innovative design to examine human-environment dynamics of food deserts responding to COVID-19

Comparing two distance measures in the spatial mapping of food deserts: The case of Petržalka, Slovakia

An experimental analysis of least-cost path models on ordinal-scaled raster surfaces

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