Multi-Sector Urban System Initiatives
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1 Multi-Sector Urban System Initiatives Colin Harrison IBM Distinguished Engineer Emeritus Regional Approaches to Urban Sustainability A National Academies Workshop Portland, OR May 28-29,
2 From Engineering Efficiency to a Science of Cities Life on an Instrumented Planet Integrated, sustainable urban systems Sustainable and resilient urban systems People and urban systems A Science of Cities 2
3 Feedback to user and data source; Incentives and actions to change behavior Life on an Instrumented Planet Improved performance derived from data and models to increase efficiency and effectiveness Measuring, Monitoring, Modeling and Managing The world s resources are finite Energy cost, GHG emissions Water no cost, Tragedy of the Commons Space roads take 20% of space Technology is cheap and available Billions of sensors Pervasive networks Capacity to store and analyze Need to close the loop Price signals Social Computing Behavioural Economics Sensing Metering Real Time Data Integration Real Time + Historical Data Data Modeling + Analytics Visualization + Decisions Feedback to user and data source; Incentives and actions to change behavior Data collection Data Integration Comparison of historical data, with newly collected data Data modeling and analytics to create insights from data to feed decision support and actions Source: Instrumenting the Planet, IBM Journal of Research & Development, March
4 Integrated, sustainable urban systems Intelligent Transportation Systems - Integrated Fare Management - Road Usage Charging - Traffic Information Management - Electric Vehicles Enhanced Public Safety - Intelligent Surveillance - Integrated Emergency Services - Weatherproofing - Micro-Weather Forecasting Energy Management - Network Monitoring & Stability - Smart Grid Demand Management - Intelligent Building Management - Automated Meter Management Environmental Management - City-wide Measurements - KPI s, scorecards - CO 2 Management Water Management - Smart metering - Network instrumentation - Combined Sewage Overflow Smart Integrated Building Management - Integrated control systems - Property Performance Management - Building to Grid 4
5 Sustainable and Resilient Urban Systems Natural disasters, human error, cascading failures, and cyber-security attacks highlight the complexity and fragility of our global society, its businesses and infrastructure Japan: Quake/Tsunami/ Nuclear, 2011 Loss ~$200B, 30K Lives Global supply chain impact Thailand: Flooding 2011 Loss ~$4 B, 550 Lives Auto and HDD are hit hard USA: Cyber-attack, 2011 Loss ~$170M, Personal information is stolen WW: Cloud Service Outage, 2011 Loss ~$5600/min Iceland: Volcano, 2010 Loss ~$1.7B 10M Passengers affected Australia: Bushfires, 2009 Loss ~$4B, 173 Lives Loss of data Human error System failure Supply chain disruption Virus, worm or other malicious attack on IT systems 28 Employee malfeasance, e.g. theft or fraud 25 Natural disasters, such as fires or floods 22 Unplanned downtime of online systems 22 Terrorism Power outage Pandemic Application failure 12 Industrial action Source: Economist Intelligence Unit survey Types of threats most important for operational risk management planning (% respondents) Number of incidents reported to US-CERT (Source: US-CERT) $200B Estimated damage caused by reported natural disasters (Source: EM-DAT) USA: Port Strikes, 2002 Loss ~$15B Retail and supply chain disruptions China: + 37 countries, SARS, Loss ~$15B, 916 Lives Major workforce disruptions 5
6 People and Urban Systems 6
7 Engineers A Science of Cities Complexity Theorists Urbanists Architects Urban Systems Analysts Social Scientists Civic Groups / Open Data Networks Economics Flows & Connections Economic Development Leaders Typology Built Environment Capture Store Urban Systems Information Structure Integrate Taxonomy Environmental Managers Scaling Natural Environment Integrated Simulations Basic Resources Transportation Planners Transportation Managers Energy/Utility Managers Public Safety Managers Public Health Managers 7
8 Closing thoughts the City as a Design Problem Cities are and always have been information processing systems. Cities today are both the source and the solution of many of our global society s challenges. Given the increasingly rich pathways between and among urban systems and people for digital information.what would Steve do? 8
9 Thanks for your attention! 9
10 Global Systems Science Challenges for Urban Systems 1. Formal representation of Urban Systems Structures of components Interactions (P2P, P2S, S2P, S2S) Inter-dependencies (P<-S, S<-S) 2. Spatial, Temporal, and Domain Integration Single View of the Truth What real-world problems are we trying to solve? 3. The Need for Flower Collecting Patterns & Principles to simplify model building 4. Scientific Modeling and Practical Modeling Understanding and insight Support for decision-making Rule of one hand tipping points 5. Resource consumption & production Natural and Man-Made resources By-products, waste Economic outcomes 6. View of what is the City trying to do? Real-time sensing of interactions, resource consumption & production Match between intention and capabilities City as a Design Problem How well does it work? 7. Transformation of how the city works Transition from Industrial Age to Information Age Planning for One 10
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