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Smart Transportation Pricing - Value Case

Smart Transportation Pricing - Value Case. Cisco Internet Business Solutions Group - December 2008. Carbon Excellence. Service Excellence. Service adoption and retention. Cost Quality Delivery. Closed. Economic Profit. 80%. Passenger Impact. Loop. Revenue Impact.

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Smart Transportation Pricing - Value Case

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  1. Smart Transportation Pricing- Value Case Cisco Internet Business Solutions Group - December 2008

  2. Carbon Excellence Service Excellence Service adoption and retention Cost Quality Delivery Closed Economic Profit 80% Passenger Impact Loop Revenue Impact Adoption and Utilization Systems x Node • Performance • Cost (internal/external) • Utility • Data Integrity • Risk Management (ID and Mitigation) Operational Excellence Value Monitor Return on Invested Capital Value Drivers

  3. Short-Term • Total decreased traffic volume • Total decreased VKT • Increased public transport volume Traffic VolumeReduction Avg. SpeedIncrease Emission Reduction 2.92% 1.52% 4% + Longer-Term • Less use of Energy • Less use of Space Package-based Program Building Smart Transportation (Packaged Program) Total Impact Smart Transportation Pricing Mobility Management Traffic VolumeReduction Avg. SpeedIncrease Emission Reduction 13.7% 5.42% 17% Smart Work Center MobilitySubstitute • Decreased Traffic Volume • Increased Public Transport Volume Mobility Alternatives Connected Bus Traffic VolumeReduction MobilityMarketing Personal Travel Assistant Avg. SpeedIncrease Emission Reduction 12.68% 12.8% 6.3%

  4. Charging: 4,000 won fixed Analysis Time Period: 07:00~21:00 Toll gate Smart Transportation PricingImpact Analysis Traffic Impact Environmental Impact

  5. Smart Transportation Pricing Value Case Model

  6. Emission Calculation Procedure • EF (Emission Factor) for each pollutant: a function of vehicle speed, depending on vehicle types and fuels. For example, EF for a private car fueled by gasoline: EF(CO2) = 1248.4 x (Avg. Speed)^(-0.4845) EF(NOx) = 3.4578 x (Avg. Speed)^(-0.7978) Avg. Speed (km/hr) Avg. Transit Time (hr) Traffic Vol. Etc. ( truck & van using diesel) Bus (diesel) Private Car (gasoline) EF (g/km) EF (g/km) EF (g/km) Emission (g) = EF x Avg. Speed x Avg. Transit Time x Traffic Vol.

  7. Smart Transportation Pricing Scenario Analysis Analysis Area: The Center of Seoul (About 6.38 km2 of Jongno-Gu~Jung-Gu) Input Data: Survey Data from SDI in 2005 O/D : Passenger Car, Bus, Taxi, Subway, etc Network 27% Reduction of Passenger Cars by Imposing on Inflow Vehicles Analysis Time Period: Whole Dayin the Time(07:00~21:00) Analysis Indices: Average Travel Speed, Average Travel Time, VKT, Traffic Volume

  8. NOx (kg/day) PM10 (kg/day) CO2 (tons/day) Base 2327 59 757 Scenario #1 1924 49 633 Differnce(sc1-b) -403 -10 -124 % Change -17% -17% -16% Impact on Transportation & Environment Transportation Avg. Travel Speed (km/h) Avg. Travel Time (min) VKT (pcu·km) Total Volume (pcu/day) 9.58 15.6 1,549,499 5,519,189 Base Scenario #1 10.10 (5.42% increase) 14.8 (5.13% decrease) 1,340,622 (13.4% decrease) 4,762,991 (13.7% decrease) Environment

  9. Smart Transportation Pricing ScenarioChange of Traffic Volume Difference of Traffic Vol. (pcu/day) Scenario1 - Base % Change of Traffic Vol. (Scenario1 – Base)/Base

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