Presented in ITS World Congress 2017, Canada Montreal. In the session of "Disruptive Mobility Services Utilizing IoT Big Data for Smart Cities"

1. Activate Urban Blood
for Smarter Cities
Takuro Yonezawa
Keio University, JAPAN
Photo by Takahiro Toh (@TakahiroToh)

2. Takuro Yonezawa
• Research Assistant Professor, Keio Univ. Japan
• Background: Ubiquitous Computing
• Leading several smart city projects
• NICT-EU Horizon2020 BigClouT Project (2016-)
• NICT SODA Project (2014-)
• NICT-EU FP7 ClouT Project (2013-2015)
Keio SFCity (Smart Future City) Laboratory
Collaborating with 9 cities and 25 companies for creating Smart Cities

3. Japan - 62nd world rank by area
Urban Blood Vessel
• Total length of road
• 1,210,251 km (6th in the world)
• Total length of railroad
• 27,655 km (9th in the world)
Urban Blood
• Population
• 127 million (10th in the world)
• Number of vehicles
• 81 million (3rd in the world)

4. Towards smart city
How can we sense the city ?
How can we obtain wisdom ?
Data
Information
Knowledge
Understanding
Wisdom
Symbols
Who, What, Where, When
How
Why
Evaluated
understanding

5. Straightforward
Approach:
Deployment of
massive IoTs in City
Ex. More than 20,000 sensors in Santander, Spain

6. CrowdSensing
Activate Urban Blood
for City Sensing
What is the effective way ?
Which vehicle should be activate for sensing ?
How do we motivate people
to participate sensing ?
• Population
• 127 million (10th in the world)
• Number of vehicles
• 81 million (3rd in the world)
Activate as Sensors !

7. 3 examples to activate urban blood
Public
Vehicles
City
Administrative
Officers
Citizens

8. Which vehicle can cover whole road link ?
In Japan, there is a type of public vehicle which
covers more than 90% of road link every weekday
Garbage Truck

9. Garbage Truck as a Sensor
More than 70 out of 100 trucks are sensorized
in Fujisawa city, Japan

10. 98% road link covered
Achieving 100 Hz sensing & real-time data publishing (every 8cm by 30km/h speed)
Covered Area

11. 98% road link covered

12. Daily health check of urban blood vessel
DeepOnEdge: Highest accuracy with lowest memory usage compared to state-of-the-art method

13. City management as sensing opportunity
City Management
Administration Department
Policy Planning Department
Finance Department
Disaster Prevention and Safety Promotion Department
Community Relations Department
Lifelong Learning Department
Health and Welfare Department
Child and Youth Department
Environment Department
Economic Department
City Hospital
Construction Planning Department
Urban Infrastructure Improvement Department
Road and River Department
Sewage Department
Fire Department
Education Department

14. Main technology for city workers:

15. Personal Know-how to Public know-how+

16. Fujisawa MinaRepo – City Management as Sensing

17. Comprehensive Sensing
3000 reports in a year

18. From data to understanding
Spatial density of populations Features with the highest coefficient values Features with the lowest coefficient values
What kind of city demographic/form affect to illegal garbage thrown ?

19. How do we motivate citizen to participate city sensing ?
Problems to be solved for CrowdSensing by citizen
• Protecting Users’ Privacy
• Keeping Data Quality (including Troll)
• Enhancing Users’ Motivation

20. Lokemon: Proxying location-aware virtual monsters
Sorry for Japanese only currently

21. What users can do in Lokemon
1. Search nearby Lokemons and ask a question to the Lokemons
remotely (assigning sensing task),
2. Get a Lokemon to the users’ collection by visiting a place
where the Lokemon virtually lives (Adapting gamification),
3. Use a Lokemon as an alias to report information near to its
site (Achieving sensing task).

22. Dramaturgy (Sociological Theory)
• Human interactions are always influenced by
time, place, and audience.
• It suggests that a person's identity is not a
stable and independent psychological entity,
but rather gets remade as the person interacts
with others.
• In other words, people always have to aware
of whether they are playing an expected role,
or change their behaviors to manage the
impression they make on others.
Dramaturgy Theory by
Erving Goffman (1959)

23. Experiment in Fujisawa Festival
• Number of users: 180
• Number of collected monsters: 948
• Number of sensing reports: 380
#FujisawaFestival
Number of post: 378

24. Conclusion

25. Some data is already there, but closed(protected) or too expensive
What can we and public sectors do ?

26. Activate urban blood for smarter cities
With some ideas:
• Comprehensive sensing of whole city
• Find opportunity to change daily works as sensing
• Motivate citizen with providing pleasure
without privacy invasion
and open the data&knowledge&wisdom as public property
Disrupt closed world & business !
Contact: takuro@ht.sfc.keio.ac.jp
Website: http://www.sfcity.jp
Thank you for your listening !