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Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens

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  • Fafoutellis, Panagiotis
  • Mantouka, Eleni G.
  • Vlahogianni, Eleni I.

Abstract

In order to investigate the acceptance of a Pay-How-You-Drive (PHYD) road pricing system in Athens, Greece, a novel scheme is proposed which is designed to provide recommendations to the drivers in order to change their behavior towards a more ecological one and charges more those that would not follow them. For modeling the acceptance of the system’s recommendations, first, a stated preferences questionnaire survey was designed and conducted on 600 drivers. Next, several Machine Learning models were developed to identify the characteristics that may affect the acceptance of such a scheme. To enrich the modeling process, a clustering framework was exploited to separate the respondents into different profiles, based on their mobility pattern and their attitude towards eco-driving. Furthermore, novel interpretation techniques, namely the calculation of permutation importance and partial dependence, were applied to gain a deeper understanding of the models’ outputs. Findings revealed that the percent of travel time increase when following the system’s recommendation and the offered discount are the most important determinants of the system’s acceptance. More specifically, the estimation of the value of time showed that those who would drive ecologically would expect a discount of 0.21€ for each minute of additional travel time. The results of this research can be exploited in the design of fair toll systems that will meet the requirements of potential users, as well as the needs of demand-responsive and eco-friendly urban road networks.

Suggested Citation

  • Fafoutellis, Panagiotis & Mantouka, Eleni G. & Vlahogianni, Eleni I., 2022. "Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 270-284.
    • Handle: RePEc:eee:transa:v:156:y:2022:i:c:p:270-284
    DOI: 10.1016/j.tra.2022.01.009
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    1. Brownstone, David & Ghosh, Arindam & Golob, Thomas F. & Kazimi, Camilla & Van Amelsfort, Dirk, 2003. "Drivers' willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 373-387, May.
    2. Daniel W. Apley & Jingyu Zhu, 2020. "Visualizing the effects of predictor variables in black box supervised learning models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(4), pages 1059-1086, September.
    3. Zheng, Nan & Waraich, Rashid A. & Axhausen, Kay W. & Geroliminis, Nikolas, 2012. "A dynamic cordon pricing scheme combining the Macroscopic Fundamental Diagram and an agent-based traffic model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1291-1303.
    4. Romero, Fernando & Gomez, Juan & Paez, Antonio & Vassallo, José Manuel, 2020. "Toll roads vs. Public transportation: A study on the acceptance of congestion-calming measures in Madrid," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 319-342.
    5. Yap, Menno D. & Correia, Gonçalo & van Arem, Bart, 2016. "Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 1-16.
    6. Sabounchi, Nasim S. & Triantis, Konstantinos P. & Sarangi, Sudipta & Liu, Shiyong, 2014. "Dynamic simulation modeling and policy analysis of an area-based congestion pricing scheme for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 357-383.
    7. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    8. Xu, Yanzhi & Li, Hanyan & Liu, Haobing & Rodgers, Michael O. & Guensler, Randall L., 2017. "Eco-driving for transit: An effective strategy to conserve fuel and emissions," Applied Energy, Elsevier, vol. 194(C), pages 784-797.
    9. Edoardo Croci & Aldo Ravazzi Douvan, 2016. "Urban Road Pricing: A Comparative Study on the Experiences of London, Stockholm and Milan," IEFE Working Papers 85, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    10. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2020. "Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 63-79.
    11. Cavallaro, Federico & Giaretta, Federico & Nocera, Silvio, 2018. "The potential of road pricing schemes to reduce carbon emissions," Transport Policy, Elsevier, vol. 67(C), pages 85-92.
    12. Robert W. Hartman & Stephen D. Sugarman, 1994. "“Pay at the pump” auto insurance: The vehicle injury plan (VIP) for better compensation, fairer funding, and greater safety," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 13(2), pages 363-368.
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