Jean-François Barsoum jbarsoum@ca.ibm.com Senior Managing Consultant Smarter cities: Important Lessons Learned S p e m b 2 8 2 0 1 1 Lesson # 1 Water GHG Energy May 23rd, 2007 4 5 6 S p e m b 2 8 2 0 1 1 Lesson # 1: Cities are the place where environmental problems have to be solved S p e m b 2 8 2 0 1 1 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 S p e m b 2 8 2 0 1 1 Lesson # 2: The solution to traffic is not to build more physical infrastructure S p e m b 2 8 2 0 1 1 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 S p e m b 2 8 2 0 1 1 Lesson # 3: Changing habits is not necessarily expensive S p e m b 2 8 2 0 1 1 Lesson # 4 22 © 2012 IBM Corporation S p e m b 2 8 2 0 1 1 Lesson # 4: Technology is not the biggest obstacle. Lack of planning is! S p e m b 2 8 2 0 1 1 Lesson # 5 Singapore: EZ-Link S p e m b 2 8 2 0 1 1 Londres: TfL S p e m b 2 8 2 0 1 1 Lesson # 5: Governance is KEY! S p e m b 2 8 2 0 1 1 Lesson # 6 S p e m b 2 8 2 0 1 1 S p e m b 2 8 2 0 1 1 Lesson # 6: You are going to have to deal with lots, and lots, of data – so once again: PLAN AHEAD! S p e m b 2 8 2 0 1 1 Lesson # 7 S p e m b 2 8 2 0 1 1 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 S p e m b 2 8 2 0 1 1 Lesson # 7: Realtime is NOT good enough! S p e m b 2 8 2 0 1 1 Lesson # 8 Rio de Janeiro planning centre Emergency planning 2006 2008 2010 © 2012 IBM Corporation IBM Smarter Cities « Walkscore » (Peterborough, UK) © 2011 IBM Corporation S p e m b 2 8 2 0 1 1 Lesson # 8: There is a real need for interdepartmental collaboration S p e m b 2 8 2 0 1 1 Lesson # 9 Citizens become active data collectors and sharers – use them! © 2012 IBM Corporation S p e m b 2 8 2 0 1 1 Lesson # 9: Help citizens help you S p e m b 2 8 2 0 1 1 Lesson # 10 S p e m b 2 8 NASA/ Star Trek Livable Connected Masdar 2 0 1 1 S p e m b 2 8 2 0 1 1 Lesson # 10: There is no single correct definition of a Smarter City