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Responses to differentiated road pricing schemes

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  • Francke, Angela
  • Kaniok, Denise

Abstract

Reducing traffic-related problems is an important issue that requires changes in travel behavior. It is argued that road pricing is an effective tool but that it would be more effective if charges are differentiated. A laboratory experiment employing a heterogeneous sample (n=155) examined effects of differentiated road pricing schemes on understanding and behavioral change intentions. The results show that difficulties are experienced in calculating the charges for road pricing schemes differentiated with respect to both place and time. Suggesting learning effects, if presented with degree of differentiation gradually increasing compared to random orders, the highly differentiated schemes were evaluated faster, as more comprehensible, and perceived difficulty decreased. Elderly were less flexible than young people in indicating how they would respond, women were more flexible than men, and frequent drivers less flexible than non-frequent drivers. A distance-based road pricing scheme with a fixed charge per kilometer was on average ranked highest on preference compared to several other conceivable road pricing alternatives.

Suggested Citation

  • Francke, Angela & Kaniok, Denise, 2013. "Responses to differentiated road pricing schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 25-30.
  • Handle: RePEc:eee:transa:v:48:y:2013:i:c:p:25-30
    DOI: 10.1016/j.tra.2012.10.002
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    References listed on IDEAS

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    1. Rouwendal, Jan & Verhoef, Erik T., 2006. "Basic economic principles of road pricing: From theory to applications," Transport Policy, Elsevier, vol. 13(2), pages 106-114, March.
    2. S. Jaensirisak & M. Wardman & A. D. May, 2005. "Explaining Variations in Public Acceptability of Road Pricing Schemes," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 127-154, May.
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    Cited by:

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    2. Yaping Li & Zheng Liu & Shiqing Zhang, 2023. "Joint Impacts of Pricing Strategies and Persuasive Information on Habitual Automobile Commuters’ Travel Mode Shift Responses," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    3. Khandker Habib, 2015. "An investigation on mode choice and travel distance demand of older people in the National Capital Region (NCR) of Canada: application of a utility theoretic joint econometric model," Transportation, Springer, vol. 42(1), pages 143-161, January.
    4. Xin Li & John W. Shaw & Daizong Liu & Yun Yuan, 2019. "Acceptability of Beijing congestion charging from a business perspective," Transportation, Springer, vol. 46(3), pages 753-776, June.
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    6. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.
    7. Zheng, Zuduo & Liu, Zhiyuan & Liu, Chuanli & Shiwakoti, Nirajan, 2014. "Understanding public response to a congestion charge: A random-effects ordered logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 117-134.
    8. Link, Heike, 2015. "Is car drivers’ response to congestion charging schemes based on the correct perception of price signals?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 96-109.
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