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022 _a07339488
040 _aMSU
_bEnglish
_cMSU
_erda
050 0 0 _aHT07339488
100 1 _aLiu, Yaolin
_eauthor
245 1 0 _aRelationships between street centrality and land use intensity in Wuhan, China/
_ccreated by Yaolin Liu, Xiaojian Wei, Limin Jiao and Huimin Wang
264 1 _aReston :
_bASCE,
_c2016.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
440 _aJournal of urban planning and development
_vVolume 142, number 1
520 3 _aAlthough the relationships between street centrality and land-use intensity have been documented, only a few studies have explained the disparities in the global relationships among different land-use types or explored the local spatial relationships among such types. In this paper, the previously mentioned problem is addressed by investigating the main urban area of Wuhan, China. The street centrality indicators of closeness, betweenness, and straightness are expanded by considering the node-based weight of the road grade and road width. Land-use intensity is measured based on the building and economic activity density in the different land-use types. Kernel density estimation is used to convert the measures to a basic raster unit, whereas the geographically weighted regression (GWR) method is used to explore the spatial heterogeneity in the relationships. The results indicate strong relationships between street centrality and land-use intensity. Furthermore, the relationships vary not only among the different land-use types but also in the different categories of a single land-use type. Spatial heterogeneity also exists in these relationships. This finding confirms that street centrality plays a crucial role in shaping urban structure and land-use intensity, and understanding the formation of urban fabrics and the advancement of human civilization.
650 _aStreet centrality
_vLand use intensity
_xKernel density estimation
700 _aJiao, Limin
_eco author
700 _aWang, Huimin
_eco author
856 _uhttps://doi.org/10.1061/(ASCE)UP.1943-5444.0000274
942 _2lcc
_cJA
999 _c167233
_d167233