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Education as a Key Factor in Policy Support: An Evaluation of National Mileage Fee Support as it Varies with Information and Attitudes

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  • Nelson, Clare
  • Rowangould, Gregory

Abstract

As governing bodies continue to explore mileage fees as an alternative to the gas tax, the uncertainty surrounding public support remains a critical barrier to policy uptake. This study examines the extent to which public perceptions of mileage fees are guided by misinformation or lack of information using a national, internet-based survey. Hypothetical voting opportunities were used to gather respondent support for mileage fees, coupled with educational treatments that address mileage fee fairness, privacy, and costs. The findings indicate that respondents are largely misinformed or lack information about mileage fees and the gas tax. Pre-education, only 32% of respondents supported the policy, but post-education, 46% of respondents supported the policy. Through binomial, multinomial, and fixed effect modeling, we examined the factors associated with policy support, changes in policy support, and the educational treatments. Ultimately, our findings indicate that education can play a key role in increasing support for a mileage fee policy as an alternative to the gas tax. View the NCST Project Webpage

Suggested Citation

  • Nelson, Clare & Rowangould, Gregory, 2024. "Education as a Key Factor in Policy Support: An Evaluation of National Mileage Fee Support as it Varies with Information and Attitudes," Institute of Transportation Studies, Working Paper Series qt4ft4h3xt, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt4ft4h3xt
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    References listed on IDEAS

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    1. Spiller, Elisheba & Stephens, Heather M. & Chen, Yong, 2017. "Understanding the heterogeneous effects of gasoline taxes across income and location," Resource and Energy Economics, Elsevier, vol. 50(C), pages 74-90.
    2. Zhang, Lei & Hong, Jin Hyun & Nasri, Arefeh & Shen, Qing, 2012. "How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 40-52.
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    Keywords

    Social and Behavioral Sciences; Attitudes; Education; Mileage-based user fees; Public opinion; Surveys;
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