A quantile regression analysis of the rebound effect: Evidence from the 2009 National Household Transportation Survey in the United States

This paper applies quantile regression method to measure the rebound effect and differentiate it with respect to demand for mobility using the 2009 National Household Transportation Survey (NHTS). The quantile regression results indicate that the rebound effect varies with the distribution of vehicle miles traveled (VMT), ranging between 0.11 and 0.19. Road network density and population density also play an important role in determining travel demand. Regression results indicate that travelers living in areas with higher road network density travel more miles although this positive impact consistently declines along the VMT distribution. Travelers living in areas with population density of at most 3000 persons per square miles travel more miles than those living in higher density areas. The quantile regression results also indicate that the impact of income is positive but declines consistently along the VMT distribution.

[1]  Stacy Cagle Davis,et al.  Transportation energy data book , 2008 .

[2]  David L. Greene,et al.  Fuel Economy Rebound Effect for U.S. Household Vehicles , 1999, Controlling Automobile Air Pollution.

[3]  Franz Wirl,et al.  The Economics of Conservation Programs , 1997 .

[4]  J. Dargay.  The effect of prices and income on cartravel in the UK , 2007 .

[5]  L. Fulton,et al.  A STATISTICAL ANALYSIS OF INDUCED TRAVEL EFFECTS IN THE U.S. MID-ATLANTIC REGION , 2000 .

[6]  W Orasch,et al.  Technological efficiency and the demand for energy (road transport) , 1997 .

[7]  David L. Greene,et al.  Vehicle Use and Fuel Economy: How Big is the "Rebound" Effect? , 1992 .

[8]  A. Lovins.  Energy Saving from the Adoption of More Efficient Appliances , 1988 .

[9]  P. Goldberg,et al.  The Effects of the Corporate Average Fuel Efficiency Standards , 1996 .

[10]  David L. Greene,et al.  Rebound 2007: Analysis of U.S. light-duty vehicle travel statistics , 2012 .

[11]  L. Brookes.  The greenhouse effect: the fallacies in the energy efficiency solution , 1990 .

[12]  K. Small,et al.  Induced demand and rebound effects in road transport , 2010 .

[13]  P. Goodwin,et al.  Elasticities of Road Traffic and Fuel Consumption with Respect to Price and Income: A Review , 2004 .

[14]  J. Dargay.  The Irreversible Demand Effects of High Oil Prices: Motor Fuels in France, Germany and the UK , 1991 .

[15]  R. Noland.  Relationships between highway capacity and induced vehicle travel , 2001 .

[16]  D. Greene,et al.  Energy efficiency and consumption — the rebound effect — a survey , 2000 .

[17]  J. Schleich,et al.  Effects of feedback on residential electricity demand: Findings from a field trial in Austria , 2013 .

[18]  H. Saunders,et al.  The Khazzoom-Brookes Postulate and Neoclassical Growth , 1992 .

[19]  F. Wirl.  The asymmetrical energy demand pattern: some theoretical explanations , 1988 .

[20]  M. Cropper,et al.  The Impact of Urban Spatial Structure on Travel Demand in the United States , 2003 .

[21]  J. D. Khazzoom.  Energy Saving Resulting from the Adoption of More Efficient Appliances , 1987 .

[22]  Sarah E. West.  Distributional Effects of Alternative Vehicle Pollution Control Policies , 2004 .

[23]  M. Hansen,et al.  Road supply and traffic in California urban areas , 1997 .

[24]  Dermot Gately,et al.  Imperfect Price-Reversibility of U.S. Gasoline Demand: Asymmetric Responses to Price Increases and Declines , 1992 .

[25]  Franz Wirl,et al.  Energy demand and consumer price expectations: An empirical investigation of the consequences from the recent oil price collapse , 1991 .

[26]  William W. Hogan,et al.  OECD Oil Demand Dynamics: Trends and Asymmetries , 1993 .

[27]  S. Sorrell.  The rebound effect: an assessment of the evidence for economy-wide energy savings from improved energy efficiency , 2007 .

[28]  Jeffrey A. Dubin,et al.  An Econometric Analysis of Residential Electric Appliance Holdings and Consumption , 1984 .

[29]  Dermot Gately,et al.  The Imperfect Price-Reversibility of World Oil Demand , 1993 .

[30]  Jörg Peters,et al.  Identifying the Rebound - Evidence from a German Household Panel , 2007 .

[31]  K. Small,et al.  Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect , 2007, Controlling Automobile Air Pollution.

[32]  L. Schipper,et al.  On the rebound? Feedback between energy intensities and energy uses in IEA countries , 2000 .

[33]  Soumodip Sarkar,et al.  Gasoline Tax as a Corrective Tax: Estimates for the United States, 1970-1991 , 1996 .

[34]  Franz Wirl,et al.  Irreversible Price-Induced Efficiency Improvements: Theory and Empirical Application to Road Transportation , 1993 .

[35]  Paul Schimek.  Household motor vehicle ownership and use : How much does residential density matter ? , 1996 .

[36]  L. Brookes,et al.  Energy efficiency fallacies revisited , 2000 .

[37]  Paul Schimek,et al.  Growth in motor vehicle ownership and use : evidence from the Nationwide Personal Transportation Survey , 1999 .

[38]  Clifton T. Jones.  Another Look at U.S. Passenger Vehicle Use and the 'Rebound' Effect from Improved Fuel Efficiency , 1993 .

[39]  Qing Su,et al.  Induced motor vehicle travel from improved fuel efficiency and road expansion , 2011 .