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Analysis Examples

In this section, we guide the user through a step by step estimation of the impacts related to two examples. The first example is related to implementing a program falling into

policies geared at affecting the times. The second example implemented to support the hard

generalized cost of using a mode and changing travel evaluates a set of soft program measures that are program measures analyzed in the first example.

Table 6 summarizes assumptions on the base case scenario that will be used for all examples described below.

Program Details Total Cost Program Duration (Years) Discount Rate

Employment Information Full Time Employees Part-time Employees

$

45,000 2 6.0%

4,000 1,000

Trip Length (miles)

Auto-Drive Alone Auto-Rideshare Vanpool Public Transport Cycling Walking Other

Trip Travel Time (minutes)

12.20 12.20 20.40 11.42 2.90 0.90 11.42

Current mode share (%) Auto-Drive Alone Auto-Rideshare Vanpool Public Transport Cycling Walking Other

    • 78.3

      %

    • 12.1

      %

    • 0.5

      %

    • 4.9

      %

    • 0.4

      %

3.0% 0.8%

Auto-Drive Alone Auto-Rideshare Vanpool Public Transport Cycling Walking Other

Vehicle Occupancy (number)

Average Rideshare Average Vanpool Bus

12.00 12.00 17.00 25.00 5.00 5.00 11.00

Off-Peak

2.3

1.0

7.0

3.0

23.0

14.0

Peak

Peak Period Data Percent of Work Trips in Peak periods (%)

75%

Table 6 Analysis Example Base Case Scenario Assumptions

Hard Program Impacts: Transit Fare Subsidy

In this example, we analyze the impact of reducing the daily transit passenger-trip cost from $4.00 to $3.50, a 14 percent reduction. This might be the result of a subsidy implementation or a transit fare reduction of .50¢. To conduct the analysis, the user must click on the “Financial Incentives” button located on the “Base Case Scenario” worksheet. In the worksheet, the user must enter these values as depicted in Figure 13.

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