* Presented at 2011 World Bank Transport Forum, March Jaehak Oh. Director, Global Research Office for Green Growth & Convergence
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1 * Presented at 2011 World Bank Transport Forum, March 2011 Jaehak Oh Director, Global Research Office for Green Growth & Convergence
2 I. Green Growth and Transport II. Future Trend III. Innovative Technologies IV. Discussion - 2 -
3 - The Goal of Green Growth - GHG Emissions in Transport - Reduction Measures : ASI - Prioritization of Measures
4 Promoting economic growth and environmental conservation Creating new growth engines : Green technologies and industries Contributing to global GHG reduction efforts - 4 -
5 Billion vehicles 3,000 2,000 1,000 Car Ownership Trends Brazil Middle East India Other Asia China Eastern Europe Asian TE Other Sector 77% Transport 23% Other Sector Transport?% Co 2 Emission / person Developed Countries Developing Countries Sharp Reduction Leap-frog Business as usual Expected trend Source : WCTRS, 2010 Time
6 Car sharing Remote working Congestion pricing 2% 1% 0.4% Improved public transport Walking & cycle 8.1% 2% Modal Shift 15% 54% Fuel- efficiency, Green Car ITS Eco-driving Bio fuels 8% 4.3% 5% Avoid Shift Improve - 6 -
7 Technology assisted measures -> high compliance Low cost, High efficiency Low cost, Low efficiency High cost, High efficiency High cost, Low efficiency Public Compliance High Eco-driving ITS Moderate Pay-as-you-drive insurance Encourage walking & cycling Modal shift Car sharing Improving fuel-efficiency Promoting green vehicles Express railways Biofuels Remote working Public service improvements Low Congestion pricing - 7 -
8 - Technology Evolution - Major changes that lead to the future
9 Rapid evolution of technology post-industrial Revolution - 50-year cycles - What modes and technologies of transport for the future? canal 1825 Paradigm Shift 1836 Prime railway road airplane Δt= 55 years Δt= 65 years Δt= 70 years 0% Δt= 30 years
10 Energy system : Energy crisis and climate change Use of renewable energy sources, efficient energy utilization Climate change and GHG reduction Urban structure : High-density land use Rapid urbanization High density urban redevelopment Convergence : IT-Vehicle-SOC Smart mobility with smart vehicles and telematics Remodeling existing road network with ICT Innovative traffic demand management
11 - KOTI s Research Initiatives for Green Transport
12 KOTI s Research Initiatives for Green Transport 1. BRT with Online Electric Vehicle 2. Bike Rapid Transit 3. Cloud Transport System 4. Intermodal Connectivity Center 5. Technology driven Eco Driving 6. Expressway Reservation System 7. Automated Container Transport
13 Online Electric Vehicles (OLEV) with underground power supply lines - Powered from underground power line - Charges at start and end sections (20%) of BRT route Battery Battery capacity reduced to 1/5 Power Line Cost-effective Underground Power Supply System Pick-up Device Highly-effective Power Collection System
14 Elevated structure Non-stop Bikeways Faster than bus in peak-hour Travel mid to long distance with low energy (Gradient is not critical) Unaffected by temperature and rainfall Green transport system where bikes move faster on elevated structure without stopping
15 Sharing transport modes - EV, Bicycle, Public transport, etc Creating new business model for EV CTS Own Less Share More Intermodal journey planner and reservation service User customized service Benefits Reduction of GHG emissions Reduction of user cost Mitigation of traffic congestion
16 Upgrading Intermodal Connectivity System - Remodeling layout of transfer facilities - Smartphone based travel information - Efficient management of transfer facilities Travelers Pedestrian Bicycle User bus Subway Modes Airplane Weak Person Vehicle User Information Center Train Bus stop Subway station Train station Airport Parking place Bicycle parking place Facilities
17 Driving Patterns Quick start & acceleration Quick stop & deceleration Lane-change, quick right & left turns Eco-Indicators Eco-Navigators Eco-Driving Monitoring System Smart-sensor equipped Collecting driving patterns Driving Simulator Eco-driving saves 63% of additional fuel compared to quick start & acceleration Eco-driving saves 13% (fuel, CO 2 ) compared to usual driving Tolling fee discount Eco-Driving Analysis using driving patterns
18 Tackling extraordinary peak traffic demand for roads with limited capacity Expressway Reservation System Introduces pre-reservation system as with public transport Maximized traffic throughput and reduced congestion Combine with flexible road tolling policy Estimation of capacity Rationing of Traffic demand Maximization of throughput
19 Container flow on Seoul Busan : approx. 9,000 TEU/day Conveyor system using Linear Induction Motor (LIM) AutoCon infrastructure cost is 1/3 of railway High efficiency non-stop system Unmanned automated cargo handling system (Fuel saving ) US$ 200 million/yr (GHG Saving) 1.1% of roads, 11.2% of railways
20
21 Innovative combined technology measures contribute to CO 2 reduction - To account for more than 50% of target reduction (in Korea) - Eco-driving to be evaluated as high compliance, low cost and high efficiency measure Improve investment through innovation in transport - Promoting operational efficiency with intermodal and ICT technology - Expanding BRT network which is low cost and high efficiency compared to railway investment
22 Convergence of technology and policy - Understanding users behavioral patterns - Better public acceptance and co-operation Creating new technologies and policies beyond transport border - Convergence with ICT, energy and psychology
23
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