A rule-based city modeling method for supporting district protective planning
• We proposed a rule-based 3D modeling method (CityEngine) for supporting urban planning. • We found that CityEngine is suitable for modeling large areas at a scale of less than 1:100. • We summarized the four main modeling steps of CityEngine from the viewpoint of urban planning. • Our case study d...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Luo, Yanwen [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: Oxygen and carbon dioxide monitoring during sleep - Amaddeo, Alessandro ELSEVIER, 2016transfer abstract, SCC, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:28 ; year:2017 ; pages:277-286 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.scs.2016.10.003 |
|---|
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ELV035893583 |
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• We proposed a rule-based 3D modeling method (CityEngine) for supporting urban planning. • We found that CityEngine is suitable for modeling large areas at a scale of less than 1:100. • We summarized the four main modeling steps of CityEngine from the viewpoint of urban planning. • Our case study demonstrates how to use CityEngine to support the protective planning through batch controlling of building height, etc. • We clarified the applicability of CityEngine to urban planning and city design from 3D visualization, data output, trade-offs analysis, etc. |
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• We proposed a rule-based 3D modeling method (CityEngine) for supporting urban planning. • We found that CityEngine is suitable for modeling large areas at a scale of less than 1:100. • We summarized the four main modeling steps of CityEngine from the viewpoint of urban planning. • Our case study demonstrates how to use CityEngine to support the protective planning through batch controlling of building height, etc. • We clarified the applicability of CityEngine to urban planning and city design from 3D visualization, data output, trade-offs analysis, etc. |
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• We proposed a rule-based 3D modeling method (CityEngine) for supporting urban planning. • We found that CityEngine is suitable for modeling large areas at a scale of less than 1:100. • We summarized the four main modeling steps of CityEngine from the viewpoint of urban planning. • Our case study demonstrates how to use CityEngine to support the protective planning through batch controlling of building height, etc. • We clarified the applicability of CityEngine to urban planning and city design from 3D visualization, data output, trade-offs analysis, etc. |
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