Automatic Generation of Virtual 3D City Models for Urban Planning

Author(s):  
Kenichi Sugihara ◽  
Zhenjiang Shen
2013 ◽  
Vol 368-370 ◽  
pp. 1855-1859 ◽  
Author(s):  
Kenichi Sugihara ◽  
Zhen Jiang Shen

3D city models are important in urban planning for sustainable development. Usually and traditionally, urban planners design the future layout of the towns by drawing the maps, using GIS or CAD packages. 3D city models based on these maps are quite effective in understanding what if the plan is realized. However, creating 3D city models is labor intensive, using a 3D modeling software such as 3ds Max or SketchUp. In order to automate laborious steps, we are proposing a GIS and CG integrated system for automatically generating 3D building models with general shaped roofs by straight skeleton computation, based on general shaped building polygons (building footprints) on digital maps.


Author(s):  
T. Q. Doan ◽  
C. León-Sánchez ◽  
R. Peters ◽  
G. Agugiaro ◽  
J. Stoter

Abstract. 3D city models are playing a growing role worldwide as sources of integrated information upon which different urban applications are developed. In the context of urban planning and design, semantic 3D city models can provide plenty of qualitative and quantitative information about the urban context and of the area(s) to be transformed. This paper takes inspiration and continues a work recently published in which several design parameters and Key Performance Indicators are computed from a semantic 3D city model, and later used in a GIS-supported urban design process to develop a new area. As many of such parameters are derived from the gross volume of the building stock, this paper investigates whether and to which extent different building stock models might affect the estimation of the gross volume. The study is carried out in anticipation of the upcoming LoD2-based, country-wide model of the Netherlands that is being finalised by our team. At the same time, the paper investigates whether and which information can be obtained regarding the quality of the LoD2 model from a comparison with the LoD1 one, with a focus on volume calculation.


Solar Energy ◽  
2017 ◽  
Vol 146 ◽  
pp. 264-275 ◽  
Author(s):  
Laura Romero Rodríguez ◽  
Eric Duminil ◽  
José Sánchez Ramos ◽  
Ursula Eicker

2021 ◽  
Vol 86 ◽  
pp. 101584
Author(s):  
Ankit Palliwal ◽  
Shuang Song ◽  
Hugh Tiang Wah Tan ◽  
Filip Biljecki

2011 ◽  
Vol 48 (2) ◽  
pp. 124-130 ◽  
Author(s):  
Mathias Jahnke ◽  
Jukka Matthias Krisp ◽  
Holger Kumke
Keyword(s):  

2016 ◽  
Vol 22 (50) ◽  
pp. 369-372
Author(s):  
Yoshitami NONOMURA ◽  
Wataru SHIBAYAMA

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