https://scholars.lib.ntu.edu.tw/handle/123456789/410117
Title: | Geographically modified PageRank algorithms: Identifying the spatial concentration of human movement in a geospatial network | Authors: | Chin W.-C.-B. Wen T.-H. |
Issue Date: | 2015 | Journal Volume: | 10 | Journal Issue: | 10 | Source: | PLoS ONE | Abstract: | A network approach, which simplifies geographic settings as a form of nodes and links, emphasizes the connectivity and relationships of spatial features. Topological networks of spatial features are used to explore geographical connectivity and structures. The PageRank algorithm, a network metric, is often used to help identify important locations where people or automobiles concentrate in the geographical literature. However, geographic considerations, including proximity and location attractiveness, are ignored in most network metrics. The objective of the present study is to propose two geographically modified PageRank algorithms-Distance-Decay PageRank (DDPR) and Geographical PageRank (GPR)-that incorporate geographic considerations into PageRank algorithms to identify the spatial concentration of human movement in a geospatial network. Our findings indicate that in both intercity and within-city settings the proposed algorithms more effectively capture the spatial locations where people reside than traditional commonly-used network metrics. In comparing location attractiveness and distance decay, we conclude that the concentration of human movement is largely determined by the distance decay. This implies that geographic proximity remains a key factor in human mobility. Copyright: © 2015 Chin, Wen. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947249945&doi=10.1371%2fjournal.pone.0139509&partnerID=40&md5=91cd3bb4efa95f93048b295e05fa2479 https://scholars.lib.ntu.edu.tw/handle/123456789/410117 |
ISSN: | 19326203 | DOI: | 10.1371/journal.pone.0139509 | SDG/Keyword: | human; algorithm; appetite; city; economics; geographic mapping; motivation; population density; population dynamics; spatial behavior; Taiwan; traffic and transport; travel; urban population; Algorithms; Appetitive Behavior; Cities; Geographic Mapping; Goals; Humans; Population Density; Population Dynamics; Spatial Behavior; Taiwan; Transportation; Travel; Urban Population |
Appears in Collections: | 地理環境資源學系 |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.