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City Data Fusion and City Sensing presented at EIT ICT Labs for EXPO 2015
- 1. City Data Fusion for Event Management Emanuele Della Valle Politecnico di Milano
- 2. CONTEXT The digital reflection of reality is sharpening thanks to: the pervasive deployment of sensors in our cities the wide adoption of smart phones (equipped with sensors) the usage of (location-based) social networks the availability of datasets about urban environment 2
- 3. GOAL Advance our ability to feel the pulse of our cities in order to deliver innovative services fusing all those data sources making sense of the fused information 3
- 4. WHAT London Olympic Games • 302 events • 10,568 athletes • 31 venues • 9,000,000 tickets sold Milano Design Week • +600 venues • +1000 events • 5 days • 500,000 people City-Scale Events: thousands of events about a topic hosted in hundreds of venues attracting hundred thousands people 4
- 5. WHY Problem Events' sponsors want to quantify the return on investment Existing solutions Spread people around the hundreds of event to asses the success of the various events Effective, but expensive 5
- 6. Step 1: associate mobile traffic volume to urban areas Real data recorded on 13 April 2013 between 13:00 and 00:00 HOW 6
- 7. Step 2: subtract what is systematic obtaining the anomalous Real data recorded on 13 April 2013 between 13:00 and 00:00 HOW 7
- 8. Step 3: Identify interesting areas Brera Tortona Porta Romana Real data recorded on 13 April 2013 between 13:00 and 00:00 HOW 8
- 9. Step 4: add the social media signal Brera Tortona Porta Romana Real data recorded on 13 April 2013 between 13:00 and 00:00 HOW 9
- 10. Step 5: find what is anomalous also in the social signal Brera Tortona Porta Romana Real data recorded on 13 April 2013 between 13:00 and 00:00 HOW 10
- 11. DEMOS CitySensing Post-hoc dashboard CitySensing Public space installation
- 12. Thank you! Any question? Emanuele Della Valle Politecnico di Milano
- 13. City Sensing Installation The Experience of Milano Design Week 2014 M. Azzi, M. Balduini, P. Ciuccarelli, E. Della Valle, F. Antonelli, and R. Larcher
- 14. THE IDEA Map View Social Graph View
- 15. THE INSTALLATION Map View Social Graph View
- 16. MAP VIEW
- 17. MAP VIEW Mobile Anomaly Low High
- 18. MAP VIEW Social Activity Few Many
- 19. MAP VIEW Bike Sharing Empty Full
- 20. MAP VIEW Venues
- 21. MAP VIEW Venues Bike Sharing Empty Full Social Activity Few Many Mobile Anomaly Low High
- 22. SOCIAL GRAPH VIEW
- 23. SOCIAL GRAPH VIEW Visitors' microposts Few Many
- 24. SOCIAL GRAPH VIEW Common Topics
- 25. SOCIAL GRAPH VIEW Common Topics Visitors' microposts Few Many
- 26. SEE IT IN ACTION http://youtu.be/MOBie09NHxM
- 27. IN 6 DAYS • 50.942.627 Call Data Records aggregated • Thousands of anomalies in mobile data found • 21782 micro-posts observed over Milano • 3499 micro-posts correctly linked to fuorisalone 2014 (correctness 94%) • 547 micro-post correctly linked to venues/events of fuorisalone 2014 (correctness 84%)
- 28. TOP DISTRICTS 1st 2nd 3rd Porta Romana 4th 5th 6th 7th
- 29. TOP VENUES 1st . 2nd . 3rd . Museo Bagatti Valsecchi 4th . Magna pars 5th . Accademia di Brera Mediateca Santateresa
- 30. Thank you! Any Question? M. Azzi, M. Balduini, P. Ciuccarelli, E. Della Valle, F. Antonelli, and R. Larcher
- 31. City Sensing for EXPO 2015 Emanuele Della Valle Politecnico di Milano
- 32. City Data Fusion for Event Management Emanuele Della Valle Politecnico di Milano
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