Public acceptance and economic evaluation of transport policies (refereed paper)
Public acceptance has often been named as a key factor for the successful realization of transport projects and policies. One reason, why even economically efficient projects might not be accepted by the major part of the population, could be the unequal distribution of benefits. For instance, individuals with higher Values of Time are expected to benefit more from user-financed improvements in the quality of service (e.g. speed) of any transportation mode. Beyond that, the implementation of road pricing schemes is actually discussed to have a regressive effect on the welfare distribution under certain conditions. In order to address these issues, microscopic multi-agent simulation presented in this paper can be used. Policy makers are directly able to compare the impacts of different policy schemes on the welfare distribution and can thus identify alternatives with higher public acceptance. Generally, by using the multi-agent approach, any segregation of individuals among any socio-demographic attribute is possible what allows a more detailed view on the effects of a policy measure. Furthermore, in contrast to applied economic policy analysis, this framework allows choice modeling and economic evaluation to be realised in a consistent way. This paper shows that (i) the inclusion of individual income in the users' preferences leads to a better understanding of problems that are linked to acceptability, (ii) benefits of transport projects are likely to rise disproportionally with increasing income - both, in terms of utility change and in terms of money -, and (iii) the simulation is already feasible for a real-world large-scale scenario with almost two million individuals.
|Date of creation:||Sep 2011|
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- Jara-Díaz, Sergio R. & Munizaga, Marcela A. & Greeven, Paulina & Guerra, Reinaldo & Axhausen, Kay, 2008. "Estimating the value of leisure from a time allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 946-957, December.
- Kai Nagel & Dominik Grether & Ulrike Beuck & Yu Chen & Marcel Rieser & Kay W. Axhausen, 2008. "Multi-Agent Transport Simulations and Economic Evaluation," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 228(2+3), pages 173-194, June.
- Joseph A. Herriges & Catherine L. Kling, 1999.
"Nonlinear Income Effects in Random Utility Models,"
The Review of Economics and Statistics,
MIT Press, vol. 81(1), pages 62-72, February.
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