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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

Smart Transportation Pricing- Value Case

Cisco

Internet Business Solutions Group

- December 2008


Value drivers

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


Package based program building smart transportation

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%


Smart transportation pricing impact analysis

Charging: 4,000 won fixed

Analysis Time Period: 07:00~21:00

Toll gate

Smart Transportation PricingImpact Analysis

Traffic Impact

Environmental Impact



Emission calculation procedure
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.


Smart transportation pricing scenario analysis
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


Impact on transportation environment

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


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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