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Tolling motorways in the time of economic downturn: the case of Portugal

    Marco Amorim Affiliation
    ; António Lobo Affiliation
    ; António Couto Affiliation

Abstract

The recent European debt crisis has led many governments to impose strict measures to alleviate public expenditure and increase revenue, especially in the southern countries. Many public services and infrastructures became more costly for users due to the increase of existing fees or the implementation of new ones. In Portugal, one of the measures adopted by the government consisted in the removal of shadow tolls and the application of the user-pays principle to the entire network of rural motorways. To rapidly implement, this measure, in the context of financial constraints, the Electronic Toll Collection (ETC), materialized by the installation of gantries in selected motorway segments, was the preferred solution over the more time and resource consuming construction of toll plazas. Toll revenue is directly collected by the state, which intends to cover, at least partially, the expenses associated with the contractual payments to private concessionaires for the traffic using these roads. The main objective of this research is to provide a new optimization tool to allocate toll gantries to the segments of an existing motorway with the aim of maximizing toll revenue, based on the case study of Portuguese motorways. A macroscopic decision model that predicts drivers’ decision on using a tolled segment or the fastest alternative route and an optimization model that sets the price and location of toll gantries along a given motorway work together to provide a valuable tool to maximize the revenue. A special focus has been placed on scenarios of economic downturn, characterized by a negative growth of the Gross Domestic Product (GDP); however, the new tool allows making explanatory analyses for situations of economic growth. The results show that the optimal configuration for ETC vary with the macroeconomic scenario, with the number of tolled segments and price per kilometre inducing relevant variations on the revenue and traffic volume. The proposed methodology may be applied in other countries to assist decision makers in the implementation of ETC in motorways under different conditions. The required data is easy to collect from sources at the disposal of the practitioners.

Keyword : electronic toll collection, motorways, macroeconomic situation, toll location, toll revenue, binary choice model, optimization model

How to Cite
Amorim, M., Lobo, A., & Couto, A. (2019). Tolling motorways in the time of economic downturn: the case of Portugal. Transport, 34(2), 146-154. https://doi.org/10.3846/transport.2019.8581
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Feb 22, 2019
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Al-Deek, H. M.; Radwan, A. E.; Mohammed, A. A.; Klodzinski, J. G. 1996. Evaluating the improvements in traffic operations at a real-life toll plaza with electronic toll collection, ITS Journal – Intelligent Transportation Systems Journal 3(3): 205–223. https://doi.org/10.1080/10248079608903720

Attard, M.; Ison, S. G. 2010. The implementation of road user charging and the lessons learnt: the case of Valletta, Malta, Journal of Transport Geography 18(1): 14–22. https://doi.org/10.1016/j.jtrangeo.2009.05.009

Banister, D. 2007. Sustainable transport: challenges and opportunities, Transportmetrica 3(2): 91–106. https://doi.org/10.1080/18128600708685668

Chen, C.-D.; Fan, Y.-W.; Farn, C.-K. 2007. Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior, Transportation Research Part C: Emerging Technologies 15(5): 300–311. https://doi.org/10.1016/j.trc.2007.04.004

Danczyk, A.; Liu, H. X. 2011. A mixed-integer linear program for optimizing sensor locations along freeway corridors, Transportation Research Part B: Methodological 45(1): 208–217. https://doi.org/10.1016/j.trb.2010.04.002

De Palma, A.; Proost, S.; Van der Loo, S. 2011. Network development under a strict self-financing constraint, Networks and Spatial Economics 12(1): 109–127. https://doi.org/10.1007/s11067-010-9152-5

Eliasson, J.; Hultkrantz, L.; Nerhagen, L.; Rosqvist, L. S. 2009. The Stockholm congestion – charging trial 2006: overview of effects, Transportation Research Part A: Policy and Practice 43(3): 240–250. https://doi.org/10.1016/j.tra.2008.09.007

Google LLC. 2017. Google Maps. Available from Internet: https://www.google.com/maps

Hau, T. D. 2005. Economic fundamentals of road pricing: a diagrammatic analysis, part I – fundamentals, Transportmetrica 1(2): 81–117. https://doi.org/10.1080/18128600508685644

Ieromonachou, P.; Potter, S.; Enoch, M. 2004. Adapting strategic niche management for evaluating radical transport policies – the case of the Durham road access charging scheme, International Journal of Transport Management 2(2): 75–87. https://doi.org/10.1016/j.ijtm.2004.09.002

IMT. 2017. Instituto da Mobilidade e dos Transportes. Available from Internet: http://www.imt-ip.pt (in Portuguese).

Jakobsson, C.; Fujii, S.; Gärling, T. 2000. Determinants of private car users’ acceptance of road pricing, Transport Policy 7(2): 153–158. https://doi.org/10.1016/S0967-070X(00)00005-6

Levinson, D.; Chang, E. 2003. A model for optimizing electronic toll collection systems, Transportation Research Part A: Policy and Practice 37(4): 293–314. https://doi.org/10.1016/S0965-8564(02)00017-4

Odeck, J.; Bråthen, S. 1997. On public attitudes toward implementation of toll roads – the case of Oslo toll ring, Transport Policy 4(2): 73–83. https://doi.org/10.1016/S0967-070X(97)00008-5

Repolho, H. M.; Antunes, A. P.; Church, R. L. 2011. Optimization models for the location of motorway interchanges: concessionaires’ perspective, Journal of Transportation Engineering 137(12): 962–970. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000293

Repolho, H. M.; Church, R. L.; Antunes, A. P. 2010. Optimum location of motorway interchanges: users’ perspective, Journal of Transportation Engineering 136(11): 956–963. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000162

Rotaris, L.; Danielis, R.; Marcucci, E.; Massiani, J. 2010. The urban road pricing scheme to curb pollution in Milan, Italy: description, impacts and preliminary cost–benefit analysis assessment, Transportation Research Part A: Policy and Practice 44(5): 359–375. https://doi.org/10.1016/j.tra.2010.03.008

Santos, G. 2005. Urban congestion charging: a comparison between London and Singapore, Transport Reviews 25(5): 511–534. https://doi.org/10.1080/01441640500064439

Zarrillo, M. L.; Radwan, A. E.; Al-Deek, H. M. 1997. Modeling traffic operations at electronic toll collection and traffic management systems, Computers & Industrial Engineering 33(3–4): 857–860. https://doi.org/10.1016/S0360-8352(97)00266-0