towards sustainable smart cities urban metabolism ... · susana brandão joão p. costeira. why so...
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Towards Sustainable Smart Cities
Urban Metabolism: supporting resource management and urban planningSensed cities, challenges and applications
Carlos Santos Silva (IN+), Nuno Nunes (M-ITI), João Paulo Costeira (ISR)
http://suscity-project.eu/
Cities are complex systems with:- Several dimensions and needs
- Energy- Mobility- Water- Materials- Economic development
- Several stakeholders:- Citizens- Municipality- Governmental agencies- Companies
CONTEXT
CONTEXT
Investment/Policies decisions in different dimensions
What’s the better decision?
How to compare?
Support decision making with scientific
models
Study area
Final deliverable
Step 1:Develop a model
Step 2Assesing future scenarios
Base Energy ModelUMI – Urban Modelling Interface
Retrofit Measure – Scenario 1Change Windows
Retrofit Measure – Scenario 3Add Solar PV
Retrofit Measure – Scenario 2Add Wall/Roof Insulation
Solar potential - 16 June 2016
Net consumption- 16 June 2016
Team
Khadija Benis, Sónia Cunha and many, many others…
Claudia Sousa
Human Dynamics for Urban Systems
community based – open – mobility tracking
detecting events
information visualization
leveraging innovative servicesmobility analysis – tourism, sustainability, urban planninglocation aware storytellingan open framework for community empowerment
location aware storytelling
Bike Monitor www.isr.ist.utl.pt/~manuel/smartbike
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Smartphone App
Bike Monitor
– GPS Coordinates
– Acceleration on 3 axis (Accelerometer)
– Rotation (Gyroscope)
– Image (Camera)
– Date
– Heartbeat
Team
Pedro Vieira Miguel CostaManuel Marques(PI)
Susana Brandão João P. Costeira
Why so few bikes, what to do?
João Paulo Cardoso
Carlos L. Azevedo
Filipe Moura
Risk Assessment
Conflicts • Cyclists vs Cars• Cyclists vs Pedestrians
Risk Assessment
Conflicts • Cyclists vs Cars• Cyclists vs Pedestrians
Surveys • Imprecise• Subjective• People forget• Hard to process
Data ISpatial context from video
• Left/Frontal/Right obstacles
• Vehicles overtaking
• Pedestrians
• Road condition
Data I - Images
Data II - accelerometers
Soon this will be a rare event
Data III- Heart Rate Mesurements
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Heart monitoring chest strap:
HRV
(Heart Rate Variability)
Stress
ECG record
t
Image descriptor
Image descriptor
Image descriptor
Evaluating “Stress”(HRV)
Evaluating “Stress”
Measuring “Stress”
Moments of Stress
A
B
Not that stressfull
Risky business
A
B
Risky business
A
B
Conflicts with whom ?
What’s next ?