干旱区生态环境知识资源中心(Arid): The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros

Arid

DOI	10.1177/10780874211040407
	The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros
	Graves, William; Zhang, Yi
通讯作者	Graves, W (corresponding author), UNC Charlotte, Geog & Earth Sci, 9201 Univ City Blvd, Charlotte, NC 28223 USA.
来源期刊	URBAN AFFAIRS REVIEW
ISSN	1078-0874
EISSN	1552-8332
出版年	2021-09
英文摘要	Municipal policy attempting to remediate low food access neighborhoods tends to focus on improving demand conditions in these neighborhoods. We investigate the role of two fundamental measures of food demand (population and income) and the biases inherent in these data in creating low food access neighborhoods. Population and income data were collected for a 1-mile radius surrounding seventy-one grocery desert sites in Southern U.S. metro areas, those results were compared to thirty-eight low-income, non-desert sites in the same metros. No significant difference between the demand characteristics of desert and non-desert sites was found in our sample-suggesting that policy may need to be refocused on issues other than demand metrics. In addition, we detected significant demand underestimation bias from one source commonly used by grocery stores. Given these findings we believe that parcel level characteristics such as visibility, accessibility, and buildability may play a larger role in remediating low food access than addressing demand conditions.
英文关键词	food access site selection spatial demographic data retail underprovision
类型	Article ; Early Access
语种	英语
收录类别	SSCI
WOS记录号	WOS:000695259400001
WOS关键词	SUPERMARKETS ; DESERTS
WOS类目	Urban Studies
WOS研究方向	Urban Studies
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364810
作者单位	[Graves, William; Zhang, Yi] UNC Charlotte, Geog & Earth Sci, 9201 Univ City Blvd, Charlotte, NC 28223 USA
推荐引用方式 GB/T 7714	Graves, William,Zhang, Yi. The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros[J],2021.
APA	Graves, William,&Zhang, Yi.(2021).The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros.URBAN AFFAIRS REVIEW.
MLA	Graves, William,et al."The Role of Demographic Data Bias in the Under-Provision of Retail: A Quasi-Experimental Case Study of Low Food Access Neighborhoods in Twenty-Five Southern Metros".URBAN AFFAIRS REVIEW (2021).