Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2017.09.020 |
Understanding spatial variation of physical inactivity across the continental United States | |
Lee, Kyung Hee1; Dvorak, Robert G.1; Schuett, Michael A.2; van Riper, Carena J.3 | |
2017-12-01 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING |
ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2017 |
卷号 | 168 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Physical inactivity lies at the heart of the public health crisis in the United States (U.S.). Research on the factors that contribute to inactivity is vast and growing; however, most of this work focuses on individual rather than community-level dynamics such as socio-economics, access to resources, and features of the physical environment. Moreover, few studies have tested spatial relationships between the prevalence of physical inactivity and multiple explanatory variables to identify potential sources of social and environmental justice at the community level of analysis. To address these gaps in previous research, this study drew on an array of secondary data sources to: 1) identify factors that contribute to levels of physical inactivity; 2) examine how these factors affect spatial inequalities; and 3) compare model performance between conventional ordinary least squares regression models and geographically weighted regression (GWR) to predict physical inactivity among U.S. residents. Our findings indicate that multiple variables predict physical inactivity, particularly access to infrastructure, expenditures on recreational activities, and poverty within disenfranchised segments of the population. Given that improvements in our model performance detected non-stationary spatial relationships and reduced the auto correlation of residual variables, we contend that this technique accounts for greater variation than ordinary least squares regression. Thus, this study provides a comprehensive basis for informing urban and landscape planning decisions across spatial and regional scales. |
英文关键词 | Physical inactivity Geographically weighted regression (GWR) model Spatial heterogeneity Regional planning |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000414885700007 |
WOS关键词 | OUTDOOR RECREATION ; METROPOLITAN-AREAS ; OBESITY ; HEALTH ; ASSOCIATIONS ; DISPARITIES ; PREVALENCE ; EXERCISE ; PARKS ; ENVIRONMENTS |
WOS类目 | Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies |
WOS研究方向 | Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/25422 |
专题 | 资源环境科学 |
作者单位 | 1.Cent Michigan Univ, Dept Recreat Pk & Leisure Serv Adm, Finch Fieldhouse 107, Mt Pleasant, MI 48859 USA; 2.Texas A&M Univ, Dept Recreat Pk & Tourism Sci, College Stn, TX 77843 USA; 3.Univ Illinois, Dept Nat Resources & Environm Sci, Champaign, IL USA |
推荐引用方式 GB/T 7714 | Lee, Kyung Hee,Dvorak, Robert G.,Schuett, Michael A.,et al. Understanding spatial variation of physical inactivity across the continental United States[J]. LANDSCAPE AND URBAN PLANNING,2017,168. |
APA | Lee, Kyung Hee,Dvorak, Robert G.,Schuett, Michael A.,&van Riper, Carena J..(2017).Understanding spatial variation of physical inactivity across the continental United States.LANDSCAPE AND URBAN PLANNING,168. |
MLA | Lee, Kyung Hee,et al."Understanding spatial variation of physical inactivity across the continental United States".LANDSCAPE AND URBAN PLANNING 168(2017). |
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