Evaluating The Effect Of Road Pricing Strategies In MATSim, Using Agent-Specific And Income-Dependent Values

Abstract

Road pricing has become a very controversial subject in South Africa with the introduction of the Gauteng Freeway Improvement Project (GFIP). Transport authorities regard road pricing as an effective means to finance road infrastructure and reduce road congestion. On the other hand it has also been proven that policies which have a regressive effect on the welfare distribution of a society have very low levels of public acceptance, which has a direct effect on the project feasibility. Due to the extreme income inequality in South Africa it can be expected that the public acceptance will be very low, which will drastically impact the feasibility of GFIP. The state-of-practice models used for the feasibility studies of GFIP do not consider the effect of individual income and considers the same value of time for all road users. This paper will investigate means to consider road users’ income in an attempt to determine the effect of using individual, income-dependent values of time in a microsimulation approach towards policy evaluation. This will be done using the Multi-Agent Transport Simulation toolkit (MATSim) and applying the model to the Gauteng Freeway Improvement Project.

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