Green transportation taxes and fees: A survey of public preferences in California |
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| Authors: | Asha Weinstein Agrawal Jennifer Dill Hilary Nixon |
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| Affiliation: | 1. MTI National Transportation Finance Center, San José State University, One Washington Square, San Jose, CA 95192-0185, USA;2. Portland State University, PO Box 751, Portland, OR 97207-0751, USA;1. Department of Geography and Spatial Information Technology, Ningbo University, Ningbo, China;2. School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, China;1. School of Transportation, Fujian University of Technology, Fuzhou 350108, China;2. Department of Civil Engineering, National Taiwan University, Taipei 10617, Taiwan;1. Department of Industrial Engineering, Payame Noor University, Tehran, Iran;2. Department of Industrial Engineering, K.N. Toosi University of Technology, Tehran, Iran;1. School of Industrial Engineering and Operations, Planning, Accounting and Control (OPAC), Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands;2. School of Management and Centre for Operational Research, Management Science and Information Systems (CORMSIS), University of Southampton, Southampton, Highfield SO17 1BJ, United Kingdom;3. Canada Research Chair in Distribution Management and Interuniversity Research Centre on Enterprise Networks, Logistics, and Transportation (CIRRELT), HEC Montréal, 3000 chemin de la Côte-Sainte-Catherine, Montréal H3T 2A7, Canada |
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| Abstract: | This paper presents the results of a survey testing whether California residents would support the concept of “green” transportation taxes and fees. Green taxes and fees would be set at variable rates, with higher rates for more polluting vehicles and lower rates for those that pollute less. The results show that the concept of green transportation taxes and fees strongly appeals to Californians. The survey data were also analyzed to identify if sub-groups within the state were particularly likely to support or oppose green transportation taxes and fees. Support for the green taxes and fees held at 50% or higher across most population sub-groups. Bivariate analysis showed that demographic factors were generally poor predictors of support, but that some attitudinal and knowledge variables did correlate with increased support for the green taxes and fees. Multivariate analysis confirmed that pro-environment and pro-government attitudes are significant and strong predictors of support for increasing transportation revenues. |
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