The decision making process related to urban areas synthetizes a lot of data taking into account numerous parameters. The indicators produced from simulations or data mining on 3D city models (3DCM) can be a great help into these decision-making processes. The problem is to acquire and process the 3DCM in order to produce these indicators at city scale. The EnVIE project proposes a framework to perform the acquisition of 3DCM and then to produce 3D or 2D metadata on these models. As several city councils have been interviewed in the scope of the project to describe their real needs, the computed metadata are directly usable into the decision-making process. The main contribution of this framework is to merge existing techniques to build a pipeline allowing to compute lighting and wind simulation, and to extract socioeconomic metadata with data-mining techniques. This on-going work builds a link between indicators at the building scale and 2D indicators at larger scale from GIS, and therefore is a step towards an indicator production process at full-scale range.

1. Usage, Usability, and Utility of 3D City models
30 octobre 2012
V.Tourre, P. Cadio, G. Caniot, C. Papin
EnVIE Project: A Framework to Produce
Urban Data at Large Scale

2. Context
• Urban planning
– Quality of life (work, facilities, etc.)
– Environmental, socioeconomic, socio-
demographic indicators
• Use of 3D city models
– Analyse the city
– Simulate scenario
– Help decision making
– Share information
Usage, Usability, and Utility of 3D City models 2

3. Simulations
• Lighting
• Wind
Measures / Computations:
• Heat loss (roofs and facades)
Example
• Energy concerns in urban area
3
Socio-economic data :
• Socio-professional group
• Main residence
• Heating mode
Impact on social policy and
planning policy
Usage, Usability, and Utility of 3D City models

4. Issues
• Acquisition of 3D city models
– Geometry
• Indicator production
– Useful indicator
– Measure analysis (thermic images)
– Simulation (large scale simulation)
– Analysis (data mining)
• Interoperability
– LoD
Usage, Usability, and Utility of 3D City models 4

5. Goal
• Build a tool to help the decision making process
– Multicriteria analysis
– Drive the urban planning decision-making
towards sustainable development
– Share the data between the city council
services and the users
Usage, Usability, and Utility of 3D City models 5

6. A Multidisciplinary team
6Loading The Future - 25 octobre 2012
• Tools to help decision-making and public policy strategy
• Public data valorisation
• Wind and sun lighting maps
• Climatic and comfort indicators
• Perception of build environment
• Comfort and lighting indicators
• Photo-realistic 3D city models
• Radio wave propagation
• Aerial & Terrestrial Thermography

7. Partners
User Partners :
• Technical services (GIS, environment)
Interviews  Uses  Specifications
Loading The Future - 25 octobre 2012
7

8. Method
Loading The Future - 25 octobre 2012 8
Socio-
economical
Data
Energy Comfort Security
Loss Gain Climatic Ambience Distances Preventions
Decision-making Communication
EnVIE
Indicator combination in the 3D city Model
3D city model

9. Workflow
Usage, Usability, and Utility of 3D City models 9

10. 3D city modeling
• Aerial 3D mapping
Usage, Usability, and Utility of 3D City models 10

11. 3D city modeling
• Completed by Mobile Mapping Systems
– GPS/IMU/DMI localization systems
– high-resolution RGB cameras
– terrestrial LIDAR
Usage, Usability, and Utility of 3D City models 11

12. 3D metadata
Usage, Usability, and Utility of 3D City models 12
• Measured metadata :
– Aerial thermal imagery
– Terrestrial thermal imagery
• Computed metadata :
– Wind maps
– Annual insulation
 climatic comfort & hazard
 Micro power production

13. 2D metadata
• Social and economic data from national
institute (INSEE, Cadastre)
• Algorithms to determine the population
potentially present in housing and
complete the building 3D models
• High risk population related to climatic
hazard :
– Isolated, old, property owner
– Family with young baby
Usage, Usability, and Utility of 3D City models 13

14. Vidéo
Usage, Usability, and Utility of 3D City models 14

15. Results
• Vegetation : automatic classification from
Lidar point cloud
Usage, Usability, and Utility of 3D City models 15
• Tree detection
• Bounding box
• Position / height

16. Results
• Aerial thermal imagery : automatic
classification (7 levels)
Usage, Usability, and Utility of 3D City models 16

17. Results
Terrestrial thermal imagery
– Automatic process :
• stitching of N images
• projection on 3D model
– Easy access to thermal weakness
Usage, Usability, and Utility of 3D City models 17

18. Results
• Lighting and wind data
Usage, Usability, and Utility of 3D City models 18

19. Results
• Lighting and wind data
Usage, Usability, and Utility of 3D City models 19

20. Results
• Social data analysis
– Data mining : high risk population
– Combined to buildings with bad thermal
performance
Usage, Usability, and Utility of 3D City models 20

21. Conclusion
• A full process for 3D city models
– Acquisition
– Metadata production
• Simulation
• Analysis
– Interoperability
• To help decision-making in urban areas
– Health risks, Energy efficiency, social mix, etc.
Usage, Usability, and Utility of 3D City models 21

22. Further works
• Complex indicators
– e.g. Pedestrian comfort
• Semantic modeling
– Changes in the city represented in the 3D city model
• Web services
– Automation of data exchange
Usage, Usability, and Utility of 3D City models 22

23. Usage, Usability, and Utility of 3D City models
30 octobre 2012
EnVIE Project: A Framework to Produce
Urban Data at Large Scale