Transcript Jean-François Barsoum [email protected] Senior Managing Consultant Smarter cities: Important Lessons Learned p m Lesson # 1

Jean-François Barsoum [email protected]
Senior Managing Consultant
Smarter cities:
Important Lessons Learned
p
m
Lesson # 1
Water
GHG
Energy
May 23rd, 2007
4
5
6
p
m
Lesson # 1:
Cities are the place where
environmental problems have to
be solved
p
m
Lesson # 2
Congestion is expensive
 1-3% of GDP
 $3B a year for Montreal
 Reduce congestion by 10% = 3% more employment growth
50% reduction = 15% more growth
Infrastructure too!
 China: 221 cities over 1M by 2030
- 35 000 billion $ in infrastructure
 India: 68 cities over 1M by 2030
- 2 200 billion $
- 5h commutes!!!
Source: Kent Hymel, “Does traffic congestion reduce employment growth?” Journal of Urban Economics 2009.
10
© 2012 IBM Corporation
p
m
Lesson # 2:
The solution to traffic is not to
build more physical
infrastructure
p
m
Lesson # 3
Realtime Origin destination to redefine public transit lines
London
Financing infrastructure in Stockholm
Stockholm
Trial period
600.000
500.000
400.000
2005
300.000
2006
Fin du projet pilote
200.000
100.000
16
Au
g
Ju
l
Ju
n
ay
M
Ap
r
ar
M
Fe
b
Ja
n
0
© 2012 IBM Corporation
Trafic intelligent : Projet novateur
Stockholm
Public opinion 2005, 2006, 2007, 2010
80%
75%
70%
65%
67%
60%
51,50%
50%
45,80%
40%
30%
35%
25%
20%
10%
0%
Yes
No
33%
Road user charging based on
Distance, time, place & pollution
For all roads
Based on GPS location
OBU
GPS
Vignette
GSM
20
12
10
5
5
3
2
2
p
m
Lesson # 3:
Changing habits is not
necessarily expensive
p
m
Lesson # 4
22
© 2012 IBM Corporation
p
m
Lesson # 4:
Technology is not the biggest obstacle.
Lack of planning is!
p
m
Lesson # 5
Singapore: EZ-Link
p
m
Londres: TfL
p
m
Lesson # 5:
Governance is KEY!
p
m
Lesson # 6
p
m
p
m
Lesson # 6:
You are going to have to deal
with lots, and lots, of data – so
once again: PLAN AHEAD!
p
m
Lesson # 7
p
m
Flooding in NYC
Estimations
Prévisions et mesures météo
Analyse des précipitations
Prévisions des
inondations
Recalibration des senseurs
Inondations
Calibration des
modèles
Prévision de
l’impact
© 2012 IBM Corporation
p
m
Lesson # 7:
Realtime is NOT good enough!
p
m
Lesson # 8
Rio de Janeiro planning centre
Emergency planning
2006
2008
2010
© 2012 IBM Corporation
IBM Smarter Cities
« Walkscore » (Peterborough, UK)
© 2011 IBM Corporation
p
m
Lesson # 8:
There is a real need for interdepartmental collaboration
p
m
Lesson # 9
Citizens become active data collectors and sharers – use them!
© 2012 IBM Corporation
p
m
Lesson # 9:
Help citizens help you
p
m
Lesson # 10
p
m
NASA/ Star Trek
Livable
Connected
Masdar
p
m
Lesson # 10:
There is no single correct
definition of a Smarter City