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• W2355144818 abstract "Using Qingdao as a case study and mainly focusing on methodology,this paper investigates the geographic implication,advantages,and disadvantages of global and local street network closeness centrality.The global closeness centrality(GCC) can reflect the distance to the centroid of a network,and indicate the importance of a location on a global scale.Meanwhile,the local closeness centrality(LCC) can be used to find the mass center of relatively small ranges,which is corresponding to the street network density.Further study finds that the kernel density estimation(KDE) of closeness centrality combines both the distance to the centroid on the whole and the street density on a local scale,and thus shows a stronger potential to represent urban struture,such as the human activity intensity of a city.This research introduces mobile phone Erlang value,an indicator of communication intensity,to estimate human activity intensity and uses it to examine the geographical impification of KDE closeness centrality.We find that the KDE of global closeness centrality(GCC-KDE) has the strongest positive correlation with human activity distribution,since GCC-KDE takes into account both the distance to the mass center of a network and the local street denstiy,and thus it can be a protential indicator of socio-economic phenomenon correlated with street density." @default.
• W2355144818 created "2016-06-24" @default.
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• W2355144818 date "2013-01-01" @default.
• W2355144818 modified "2023-09-23" @default.
• W2355144818 title "Exploration into urban street closeness centrality and its application methods: A case study of Qingdao" @default.
• W2355144818 hasPublicationYear "2013" @default.
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