干旱区生态环境知识资源中心(Arid): Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North

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DOI	10.1016/j.apgeog.2021.102415
	Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North
	Mulrooney, Timothy; Foster, Richard; Jha, Manoj; Beni, Leila Hashemi; Kurkalova, Lyubov; Liang, Chyi Lyi; Miao, Haoran; Monty, Greg
通讯作者	Mulrooney, T (corresponding author), North Carolina Cent Univ, Dept Environm Earth & Geospatial Sci, Durham, NC 27707 USA.
来源期刊	APPLIED GEOGRAPHY
ISSN	0143-6228
EISSN	1873-7730
出版年	2021
卷号	128
英文摘要	In the study of local-level food security, terms such as food variety, availability, accessibility and utilization represent quantitative metrics to describe one's relationship to the tangible and intangible food environment. Food availability entails how close one is located to the nearest food location. These locations could be healthy and fresh food as applied explicitly to the study food deserts, generally considered to be low-income areas that are far from healthy and fresh food. In the Geographic Information Systems (GIS) network model where travel times and distances are either calculated along a line network such as a series of roads or via more traditional techniques such as Manhattan or Euclidean distance, healthy and fresh food locations are defined as destinations. The places people are traveling from are referred to as sources. However, modeling source locations can be increasingly complex. In just measuring food availability between all residential parcels to the closest healthy food destination in Guilford County, North Carolina, it requires more than 177,000 route calculations, one for each of the residential parcels in Guilford County, North Carolina. Research (Zandbergen and Hart 2009; Fischer 2004; Sahar et al. 2019; Winn 2014) has highlighted the challenges in efficiently locating many addresses and calculating so many routes. In order to simplify the number of network calculations, this research explores ways to model, agglomerate or simplify source locations to decrease the sheer number of calculations while not degrading results when compared to calculations using all original 177,000 source locations. Studies in the field of food security have modeled source locations as census tract centroids, block group centroids, as well as random points and even fishnets or grids. In this paper, we explore the use of different techniques to simulate source locations in the study of food availability in Guilford County, North Carolina. These results are compared to calculations using all residential source locations in the county as a baseline. While all eleven techniques, which include random, stratified and systematic, as well as combinations of them, showed some level of agreement with baseline measurements, sources simulated as block centroids, population-weighted block group centroids and even a randomized-strata technique were strongest using t-tests of two means and equivalence tests for dissimilarity for both drive-distance and drive-time.
类型	Article
语种	英语
开放获取类型	Other Gold
收录类别	SSCI
WOS记录号	WOS:000632331200002
WOS类目	Geography
WOS研究方向	Geography
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349491
作者单位	[Mulrooney, Timothy; Foster, Richard] North Carolina Cent Univ, Dept Environm Earth & Geospatial Sci, Durham, NC 27707 USA; [Jha, Manoj; Beni, Leila Hashemi; Kurkalova, Lyubov; Liang, Chyi Lyi; Miao, Haoran; Monty, Greg] North Carolina Agr & Tech State Univ, Greensboro, NC USA
推荐引用方式 GB/T 7714	Mulrooney, Timothy,Foster, Richard,Jha, Manoj,et al. Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North[J],2021,128.
APA	Mulrooney, Timothy.,Foster, Richard.,Jha, Manoj.,Beni, Leila Hashemi.,Kurkalova, Lyubov.,...&Monty, Greg.(2021).Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North.APPLIED GEOGRAPHY,128.
MLA	Mulrooney, Timothy,et al."Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North".APPLIED GEOGRAPHY 128(2021).