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Traffic forecasts under uncertainty and capacity constraints

Author

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  • Anna Matas
  • Josep-Lluis Raymond
  • Adriana Ruiz

Abstract

Traffic forecasts provide essential input for the appraisal of transport investment projects. However, according to recent empirical evidence, long-term predictions are subject to high levels of uncertainty. This paper quantifies uncertainty in traffic forecasts for the tolled motorway network in Spain. Uncertainty is quantified in the form of a confidence interval for the traffic forecast that includes both model uncertainty and input uncertainty. We apply a stochastic simulation process based on bootstrapping techniques. Furthermore, the paper proposes a new methodology to account for capacity constraints in long-term traffic forecasts. Specifically, we suggest a dynamic model in which the speed of adjustment is related to the ratio between the actual traffic flow and the maximum capacity of the motorway. This methodology is applied to a specific public policy that consists of suppressing the toll on a certain motorway section before the concession expires.
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Suggested Citation

  • Anna Matas & Josep-Lluis Raymond & Adriana Ruiz, 2012. "Traffic forecasts under uncertainty and capacity constraints," Transportation, Springer, vol. 39(1), pages 1-17, January.
  • Handle: RePEc:kap:transp:v:39:y:2012:i:1:p:1-17
    DOI: 10.1007/s11116-011-9325-1
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    References listed on IDEAS

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    1. Anna Matas & José-Luis Raymond, 2002. "The demand elasticity on tolled motorways," Working Papers wp0203, Department of Applied Economics at Universitat Autonoma of Barcelona.
    2. Geoff Riddington, 2006. "Long Range Air Traffic Forecasts for the UK: A Critique," Journal of Transport Economics and Policy, University of Bath, vol. 40(2), pages 297-314, May.
    3. Robert Bain, 2009. "Error and optimism bias in toll road traffic forecasts," Transportation, Springer, vol. 36(5), pages 469-482, September.
    4. Gerard Jong & Andrew Daly & Marits Pieters & Stephen Miller & Ronald Plasmeijer & Frank Hofman, 2007. "Uncertainty in traffic forecasts: literature review and new results for The Netherlands," Transportation, Springer, vol. 34(4), pages 375-395, July.
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    Cited by:

    1. Esther Vayá & José Ramón García & Joaquim Murillo & Javier Romaní & Jordi Suriñach, 2016. "“Economic Impact of Cruise Activity: The Port of Barcelona”," AQR Working Papers 201609, University of Barcelona, Regional Quantitative Analysis Group, revised Nov 2016.
    2. Jincheng Jiang & Nico Dellaert & Tom Van Woensel & Lixin Wu, 2020. "Modelling traffic flows and estimating road travel times in transportation network under dynamic disturbances," Transportation, Springer, vol. 47(6), pages 2951-2980, December.
    3. Javier Heras-Molina & Juan Gomez & José Manuel Vassallo, 2019. "Drivers’ adoption of electronic payment in the Spanish toll road network," Transportation, Springer, vol. 46(3), pages 931-955, June.
    4. Manzo, Stefano & Nielsen, Otto Anker & Prato, Carlo Giacomo, 2015. "How uncertainty in input and parameters influences transport model :output A four-stage model case-study," Transport Policy, Elsevier, vol. 38(C), pages 64-72.
    5. Gomez, Juan & Vassallo, José Manuel, 2015. "Evolution over time of heavy vehicle volume in toll roads: A dynamic panel data to identify key explanatory variables in Spain," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 282-297.
    6. Plakandaras, Vasilios & Papadimitriou, Theophilos & Gogas, Periklis, 2019. "Forecasting transportation demand for the U.S. market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 195-214.
    7. Mercedes Ayuso & Montserrat Guillen & Jens Perch Nielsen, 2019. "Improving automobile insurance ratemaking using telematics: incorporating mileage and driver behaviour data," Transportation, Springer, vol. 46(3), pages 735-752, June.
    8. Juan Gomez & Anestis Papanikolaou & José Manuel Vassallo, 2017. "Users’ perceptions and willingness to pay in interurban toll roads: identifying differences across regions from a nationwide survey in Spain," Transportation, Springer, vol. 44(3), pages 449-474, May.
    9. Antonio Manresa & Ferran Sancho, 2012. "Leontief versus Ghosh: two faces of the same coin," Working Papers XREAP2012-18, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2012.
    10. Anna Castañer & Mª Mercè Claramunt & Alba Tadeo & Javier Varea, 2016. "Modelización de la dependencia del número de siniestros. Aplicación a Solvencia II," Working Papers XREAP2016-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Sep 2016.
    11. Aguas, Oriana & Bachmann, Chris, 2022. "Assessing the effects of input uncertainties on the outputs of a freight demand model," Research in Transportation Economics, Elsevier, vol. 95(C).
    12. Catalina Bolancé & Zuhair Bahraoui & Ramon Alemany, 2015. "Estimating extreme value cumulative distribution functions using bias-corrected kernel approaches," Working Papers XREAP2015-01, Xarxa de Referència en Economia Aplicada (XREAP), revised Jan 2015.
    13. Anna Castañer & Mª Mercè Claramunt, 2014. "Optimal stop-loss reinsurance: a dependence analysis," Working Papers XREAP2014-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Apr 2014.
    14. Garrido, Laura & Gomez, Juan & Baeza, María de los Ángeles & Vassallo, José Manuel, 2017. "Is EU financial support enhancing the economic performance of PPP projects? An empirical analysis on the case of spanish road infrastructure," Transport Policy, Elsevier, vol. 56(C), pages 19-28.
    15. Fernando Romero & Juan Gomez & Thais Rangel & Rafael Jurado-Piña & José Manuel Vassallo, 2020. "The influence of variable message signs on en-route diversion between a toll highway and a free competing alternative," Transportation, Springer, vol. 47(4), pages 1665-1687, August.
    16. Juan Gomez & José Manuel Vassallo & Israel Herraiz, 2016. "Explaining light vehicle demand evolution in interurban toll roads: a dynamic panel data analysis in Spain," Transportation, Springer, vol. 43(4), pages 677-703, July.

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