Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2018.09.019 |
Visibility analysis of oceanic blue space using digital elevation models | |
Qiang, Yi1; Shen, Suwan2; Chen, Qi1 | |
2019 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING |
ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2019 |
卷号 | 181页码:92-102 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Published evidence shows that views to blue spaces (e.g. ocean, lake, and river) have positive effects on humans' health and mental well-beings. However, quantitative assessment of blue space visibility is challenging for large spatial areas with complex terrain or built environment. The assessment approach introduced in this study applied an innovative sampling strategy which generalizes blue space as a lattice of points and calculate visibility of all the points within a continuous area. Compared to traditional viewpoint-based visibility analyses, this approach can assess blue space visibility over a large area at a fine spatial resolution. The raster output can be overlaid with data recorded at different spatial units to study the associations between blue space visibility and socio-economic and health disparities. Additionally, this approach can be applied to assess impact of buildings to blue space visibility over space by comparing outputs generated from different digital elevation models (DEM). The utility of this approach was demonstrated in a case study in the island of O'ahu, Hawaii, which finds that: (1) wealthier and older people possess higher share of ocean visibility; (2) man-made buildings have caused large shrink and redistribution of ocean visibility; (3) high-rise buildings have particularly high and extensive impact to ocean visibility. The findings suggest that improved environmental assessment processes and planning policies are needed to mitigate the inequality of visible blue space in different population groups and preserve the shrinking visible blue space in the process of urban development. |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000450376400008 |
WOS关键词 | VIEWSHED COMPUTATION ; GREEN SPACE ; LANDSCAPE ; HEALTH ; WATER ; ENVIRONMENTS ; PERCEPTION ; TERRAIN ; JUSTICE ; SCENES |
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/25188 |
专题 | 资源环境科学 |
作者单位 | 1.Univ Hawaii Manoa, Dept Geog, Manoa, HI USA; 2.Univ Hawaii Manoa, Dept Urban & Reg Planning, Manoa, HI USA |
推荐引用方式 GB/T 7714 | Qiang, Yi,Shen, Suwan,Chen, Qi. Visibility analysis of oceanic blue space using digital elevation models[J]. LANDSCAPE AND URBAN PLANNING,2019,181:92-102. |
APA | Qiang, Yi,Shen, Suwan,&Chen, Qi.(2019).Visibility analysis of oceanic blue space using digital elevation models.LANDSCAPE AND URBAN PLANNING,181,92-102. |
MLA | Qiang, Yi,et al."Visibility analysis of oceanic blue space using digital elevation models".LANDSCAPE AND URBAN PLANNING 181(2019):92-102. |
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