Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2018.07.012 |
Measuring the use of green space with urban resource selection functions: An application using smartphone GPS locations | |
Ladle, Andrew1,2; Galpern, Paul1; Doyle-Baker, Patricia2 | |
2018-11-01 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING |
ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2018 |
卷号 | 179页码:107-115 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | Data describing how individuals use their urban environment is a valuable source of information in urban planning. In many cases, data used for these purposes have low spatial and temporal resolution, or sample size. Equally, comprehensive analytical approaches suitable for these data may be lacking. We present a statistical method borrowed from wildlife ecology and management called a resource selection function (RSF). We apply it to answer questions relating to the selection of urban green space by university students, using a dataset consisting of smartphone GPS location data volunteered by participants. We ask questions relating to urban greenspace selection by comparing used locations to a set of random locations at multiple spatial extents. We found that participants altered their selection of areas according to the surrounding recreational trail density and whether those areas were classified as green space. These relationships were also influenced by season. Our study also demonstrates how the design of an urban RSF can offer different insights by varying the extent of the domain: (1) to an individual's core area; or (2) by excluding from the domain areas that are physically unavailable. We emphasize the importance of matching availability to the research question and conclude by reviewing the opportunities presented by using FSFs combined with GPS location data in an urban context. We argue that RSFs have utility beyond wildlife ecology and management, and, given the increasing availability of smartphone GPS data, can successfully be applied to determine the use and selection of spaces by urban residents. |
英文关键词 | Urban resource selection function RSF Smartphone GPS Green space Urban Location history |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000444927200011 |
WOS关键词 | ASSESSING HABITAT SELECTION ; PHYSICAL-ACTIVITY ; ACCESSIBILITY ; POPULATION ; WEATHER ; CHOICE ; PHONES ; ROADS ; GIS |
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/25292 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Calgary, Dept Environm Design, Calgary, AB, Canada; 2.Univ Calgary, Dept Kinesiol, Calgary, AB, Canada |
推荐引用方式 GB/T 7714 | Ladle, Andrew,Galpern, Paul,Doyle-Baker, Patricia. Measuring the use of green space with urban resource selection functions: An application using smartphone GPS locations[J]. LANDSCAPE AND URBAN PLANNING,2018,179:107-115. |
APA | Ladle, Andrew,Galpern, Paul,&Doyle-Baker, Patricia.(2018).Measuring the use of green space with urban resource selection functions: An application using smartphone GPS locations.LANDSCAPE AND URBAN PLANNING,179,107-115. |
MLA | Ladle, Andrew,et al."Measuring the use of green space with urban resource selection functions: An application using smartphone GPS locations".LANDSCAPE AND URBAN PLANNING 179(2018):107-115. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论