Comparison of socioeconomic impacts of market-based instruments for mobility management

ABSTRACT This article presents a hypothetical case study built upon empirical data from Florida to compare socioeconomic impacts of three market-based instruments—gasoline tax, mileage fee, and tradable mobility credits or permits—in regulating the vehicle miles traveled in Florida. Our empirical analysis shows that all three instruments are equally effective in achieving the control target, but yield different magnitudes of socioeconomic impacts. An increased gasoline tax leads to the most adverse changes in consumers' surplus and social welfare. In contrast, the changes caused by a tradable credit scheme are smaller. Meanwhile, the distributional effects of the gasoline tax and flat mileage fee are the most regressive, and a well-designed step-fee structure can make the mileage fee policy less regressive. On the other hand, a tradable credit scheme is the most equitable in achieving the control target while maintaining the current level of revenue. When credits are allocated uniformly or in proportion to household size, the scheme is mostly progressive. When the credits are allocated with respect to existing household travel demands, the impacts are fairly uniform among different income groups.

[1]  Hai Yang,et al.  Continuous price and flow dynamics of tradable mobility credits , 2013 .

[2]  K. Kockelman,et al.  Credit-based congestion pricing: a policy proposal and the public’s response ☆ , 2005 .

[3]  A. C. Pigou Economics of welfare , 1920 .

[4]  Lei Zhang,et al.  Distributional impacts of changing from a gasoline tax to a vehicle-mile tax for light vehicles: A case study of Oregon , 2010 .

[5]  W. Montgomery,et al.  Markets in Licenses and Efficient Pollution Control Programs" Journal of Economic Theory , 1972 .

[6]  M. Weitzman Prices vs. Quantities , 1974 .

[7]  Hai Yang,et al.  Traffic rationing and pricing in a linear monocentric city , 2014 .

[8]  Hai Yang,et al.  Managing network mobility with tradable credits , 2011 .

[9]  Xiaoning Zhang,et al.  Improving travel efficiency by parking permits distribution and trading , 2011 .

[10]  Hai Yang,et al.  Traffic Rationing and Short-Term and Long-Term Equilibrium , 2010 .

[11]  Lei Zhang,et al.  Marginal-Cost Vehicle Mileage Fee , 2012 .

[12]  Hai Yang,et al.  Design of more equitable congestion pricing and tradable credit schemes for multimodal transportation networks , 2012 .

[13]  Fang He,et al.  Tradable credit schemes on networks with mixed equilibrium behaviors , 2013 .

[14]  Brian D. Taylor,et al.  Addressing Equity in Political Debates over Road Pricing , 2010 .

[15]  Hai Yang,et al.  Tradable Travel Credits for Congestion Management with Heterogeneous Users , 2012 .

[16]  Tim Lomax,et al.  TTI's 2010 URBAN MOBILITY REPORT Powered by INRIX Traffic Data , 2010 .

[17]  L. Guzman,et al.  Optimal and Long-Term Dynamic Transport Policy Design: Seeking Maximum Social Welfare through a Pricing Scheme , 2014 .

[18]  Yafeng Yin,et al.  Nonlinear pricing on transportation networks , 2011 .

[19]  D. Cauchon Equity Evaluation of Vehicle Miles Traveled Fees in Texas , 2012 .

[20]  Brian A. Weatherford Distributional Implications of Replacing the Federal Fuel Tax with per Mile User Charges , 2011 .

[21]  Kitae Jang,et al.  Heterogeneous Perception of Travelers on Greenhouse Gas Pricing in Seoul, Korea , 2014 .

[22]  Praveen Edara,et al.  A travel demand management strategy: The downtown space reservation system , 2010, Eur. J. Oper. Res..

[23]  M. Burris,et al.  Equity Evaluation of Vehicle Miles Traveled Fees in Texas , 2012 .

[24]  Patrick DeCorla-Souza FAIR LANES : A NEW APPROACH TO MANAGING TRAFFIC CONGESTION , 2000 .

[25]  Yafeng Yin,et al.  Managing rush hour travel choices with tradable credit scheme , 2013 .

[26]  Mingyi Hong,et al.  “Cap and Trade” for Congestion Control , 2012, Dyn. Games Appl..

[27]  Hai Yang,et al.  Efficiency of the plate-number-based traffic rationing in general networks , 2010 .

[28]  Cameron Hepburn,et al.  REGULATION BY PRICES, QUANTITIES, OR BOTH: A REVIEW OF INSTRUMENT , 2006 .

[29]  Dušan Teodorović,et al.  Auction-Based Congestion Pricing , 2008 .

[30]  André de Palma,et al.  Traffic congestion pricing methodologies and technologies , 2011 .

[31]  Stefan Voß,et al.  Design and evaluation of road pricing: state-of-the-art and methodological advances , 2009 .

[32]  J. Viegas Making urban road pricing acceptable and effective: searching for quality and equity in urban mobility , 2001 .

[33]  M. Burris,et al.  Equity Evaluation of Fees for Vehicle Miles Traveled in Texas , 2012 .

[34]  Hai Yang,et al.  Pareto-improving congestion pricing and revenue refunding with multiple user classes , 2010 .

[35]  Lei Zhang,et al.  Vehicle Mileage Fee on Income and Spatial Equity , 2009 .

[36]  Peter Nijkamp,et al.  Tradeable Permits: Their Potential in the Regulation of Road Transport Externalities , 1997 .

[37]  S. Lawphongpanich,et al.  Solving the Pareto-improving toll problem via manifold suboptimization , 2010 .

[38]  C. Daganzo A pareto optimum congestion reduction scheme , 1995 .

[39]  Dao-Li Zhu,et al.  Properties of the Multiclass Traffic Network Equilibria Under a Tradable Credit Scheme , 2015, Transp. Sci..

[40]  Dušan Teodorović,et al.  Model of an advance-booking system for highway trips , 2008 .

[41]  Y. Nie,et al.  Existence of Self-Financing and Pareto-Improving Congestion Pricing: Impact of Value of Time Distribution , 2009 .

[42]  R. Pendyala,et al.  Quantitative Analysis of Impacts of Moving toward a Vehicle Mileage-Based User Fee , 2010 .

[43]  Robert N. Stavins,et al.  Transaction Costs and Tradeable Permits , 1995 .

[44]  Hai Yang,et al.  Bisection-based trial-and-error implementation of marginal cost pricing and tradable credit scheme , 2012 .

[45]  Yafeng Yin,et al.  Analysis and Design of Tradable Credit Schemes under Uncertainty , 2013 .

[46]  Yu Nie,et al.  Transaction costs and tradable mobility credits , 2012 .