Cases

Using the input parameters, it is possible to come up with various scenario analysis and witness their effect on the Danish inland transportation system. The model is capable to change the parameters to see the effect of parameters variation and to run and compare the alternative scenarios. A scenario analysis allows us to understand which factors affect the decisions on travel mode choice and how to improve network performance.

Alternative scenarios: There are four alternative scenarios defined in the model.

      1.       Expansion of Infrastructure (EIN): In EIN, we analyze the effect of developing metros in the DKW urban areas (i.e., Aarhus, Aalborg and Odense). S-Train railways would also be available in DKW urban and suburban areas by 2025, and the frequency of all trains and buses is increased by 10% with respect to BAU. Based on the timetable of public modes, some modes are not available in some areas during nighttime. In EIN, however, there is public transport available every two hours.

      2.       Incentives for Sustainable Modes (ISM): ISM examines the impact of decreasing public transport ticket price by 20% in 2025. Additionally, free parking is available for Train and S-train, thus eliminating the access and egress time to public transport. The access and egress stage (parking a private car) is added to the primary mode of the trip. Finally, in ISM, all bicycles are electric with free recharging of the battery, thereby extending the maximum trip length to 55 km.

      3.       Disincentives for Private Cars (DPC): DPC examines increasing the fuel tax by 50%; increasing registration and annual ownership tax of a fossil fuel dependent vehicle by 50%; doubling the parking cost, and collecting toll on vehicles coming into Copenhagen (30 DKK per trip irrespective of trip length during weekdays from 6 am to 6 pm).

      4.       Combination of all scenarios (COM): Alternative scenarios act independent of other scenarios while integrating policy instruments achieve greater performance from the overall strategy. In this policy, the combination of EIN, ISM, and DPC scenarios are integrated together.

Parameters variation: To understand how different factors influence modal shift there are a set of parameters which could be changed by the user and run a new experiment.

1.       Construction of Metro in DKW, Urban area (EIN scenario): Acts as a Boolean operator (True/False). True means that metro is available in DKW urban area with the same characteristics of current metro line in Copenhagen while False means that metro is not available in the region.

2.       Construction of sTrain railways in DKW, Urban and Suburban area (EIN scenario): Acts as a Boolean operator (True/False). True means that sTrain is available in DKW urban and suburban area with the same characteristics of current sTrain line in DKE while False means that sTrain is not available in the region.

3.       Increase the frequency of public transit by 10% (EIN scenario): Acts as a Boolean operator (True/False). True means that the timetable of all public modes will improve by 10% while False means that the public modes have the same timetable as it is in business as usual (BAU).

4.       Ticket decrease in percentage (ISM scenario): Decreases the ticket price for all public modes by percentage. E.g., -100% means free public transit while 100% means double ticket price.

5.       Park and ride (ISM scenario): Acts as a Boolean operator (True/False). True means that there would be park and ride facilities for private cars near train and sTrain stations while False means no park and ride facilities as it is in BAU.

6.       Free charging for electric bikes (ISM scenario): Acts as a Boolean operator (True/False). True means that everybody has an electric bike and the charging is free while False means BAU.

7.       Fuel tax in percentage (DPC scenario): Increases the tax of fuel for private cars. E.g., -100% means no tax on fuel while 400% means quadruple tax on fuels.

8.       Registration and ownership tax in percentage (DPC scenario): Increases the registration and ownership tax of fossil-fueled private cars. E.g., -100% means no registration and ownership tax while 400% means quadruple registration and ownership tax.

9.       Parking cost in percentage (DPC scenario): Increases the parking cost. E.g., -100% means no parking cost while 400% means quadruple parking cost.

10.    Toll for private cars in Copenhagen in DKK (DPC scenario): Adds this cost for vehicles coming to Copenhagen. E.g., 100 DKK means to collect 100 DKK from each car while 0 means no toll collection as it is in BAU.