| 000 | 02216nab a2200277 4500 | ||
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| 999 |
_c11637 _d11637 |
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| 003 | OSt | ||
| 005 | 20210413124254.0 | ||
| 007 | cr aa aaaaa | ||
| 008 | 210413b ||||| |||| 00| 0 eng d | ||
| 100 |
_aYi Lu, _932097 |
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| 245 | _aThree-dimensional visibility graph analysis and its application | ||
| 260 |
_bSage, _c2019. |
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| 300 | _aVol 46, Issue 5, 2019,(948-962 p.) | ||
| 520 | _aGraph-based visibility analysis, developed from space syntax and social network theory, embraces mutual visibility between locations in a spatial system. It helps designers and researchers to decode spatial cognition and behavior, but methodological constraints limit its application to two-dimensional floor plans. In this study, we propose a new visibility graph analysis that can be used in three-dimensional built environments, such as multilevel atrium buildings or urban environments with canopies or overpass bridges. Furthermore, we draw a distinction between a generic visibility graph and a targeted visibility graph. In the former, an occupiable location is considered as both the origin and target of visibility lines. In the latter, we further take into account the visible space or specific targets in a system. Visible locations are spaces people can see but cannot necessarily physically occupy. With this differentiation, the visibility graph system is more amenable to new applications in three-dimensional architectural and urban design while retaining a mapping back to the original two-dimensional visibility graph method through the generic visibility graph. Four examples illustrate the application of the proposed visibility graph analysis in complex three-dimensional building and urban environments. | ||
| 650 |
_aVisibility graph, _945646 |
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| 650 |
_a three-dimensional space, _945846 |
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| 650 |
_aspace syntax, _945847 |
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| 650 |
_a multilevel buildings, _940110 |
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| 650 |
_a urban analytics _945848 |
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| 700 |
_aGou, Zhonghua _945849 |
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| 700 |
_aYe, Yu _945648 |
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| 700 |
_aSheng, Qiang _945032 |
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| 773 | 0 |
_011590 _915512 _dSage 2019. _t Environment and Planning B: Urban Analytics and City Science |
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| 856 | _3https://doi.org/10.1177/2399808317739893 | ||
| 942 |
_2ddc _cART |
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