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Understanding public response to a congestion charge: A random-effects ordered logit approach
Institution:1. Civil Engineering & Built Environment School, Science and Engineering Faculty, Queensland University of Technology, 2 George St GPO Box 2434, Brisbane, QLD 4001, Australia;2. Institute of Transport Studies, Department of Civil Engineering, Monash University, Clayton, Victoria 3800, Australia;3. Intelligent Transport Systems, School of Aerospace, Mechanical and Manufacturing Engineering (SAMME), RMIT University, Carlton, Victoria 3053, Australia;1. KTH Royal Institute of Technology, Sweden;2. WSP Analysis & Strategy, Sweden;1. School of Civil Engineering, Northeast Forestry University, Harbin, 150040, China;2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;3. School of Transportation, Southeast University, Nanjing 210096, China;1. Department of Administration and Organisation Theory, University of Bergen, Norway;2. Centre for Climate and Energy Transformation, University of Bergen, Norway;3. Department of Geography, University of Bergen, Norway;4. Johns Hopkins University, United States
Abstract:Public acceptance is consistently listed as having an enormous impact on the implementation and success of a congestion charge scheme. This paper investigates public acceptance of such a scheme in Australia. Surveys were conducted in Brisbane and Melbourne, the two fastest growing Australian cities. Using an ordered logit modeling approach, the survey data including stated preferences were analyzed to pinpoint the important factors influencing people’s attitudes to a congestion charge and, in turn, to their transport mode choices. To accommodate the nature of, and to account for the resulting heterogeneity of the panel data, random effects were considered in the models. As expected, this study found that the amount of the congestion charge and the financial benefits of implementing it have a significant influence on respondents’ support for the charge and on the likelihood of their taking a bus to city areas. However, respondents’ current primary transport mode for travelling to the city areas has a more pronounced impact. Meanwhile, respondents’ perceptions of the congestion charge’s role in protecting the environment by reducing vehicle emissions, and of the extent to which the charge would mean that they travelled less frequently to the city for shopping or entertainment, also have a significant impact on their level of support for its implementation. We also found and explained notable differences across two cities. Finally, findings from this study have been fully discussed in relation to the literature.
Keywords:Congestion charge  Congestion pricing  Stated preference  Random-effects ordered logit  Violin plot
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