Commuters' Preferences for Fast and Reliable Travel: A Semi-Parametric Estimation Approach

We employ a semi-parametric estimation approach to analyse observed and unobserved heterogeneity in the value of savings in travel time and schedule delay. Our econometric approach allows for the estimation of unobserved and observed heterogeneity in preferences in a flexible way, meaning that we do not put any structure on how individual characteristics (such as income and age) relate to the value of savings in travel time and schedule delay. Using data from a stated choice experiment, we illustrate the estimation approach and find that there is substantial heterogeneity in the value of savings in travel time and schedule delay. For our data, we find that unobserved heterogeneity is more important than heterogeneity related to individual characteristics.

[1]  E. Verhoef,et al.  Congestion pricing in a road and rail network with heterogeneous values of time and schedule delay , 2014 .

[2]  W. Vickrey Congestion Theory and Transport Investment , 1969 .

[3]  Maria Börjesson,et al.  Catching the Tail: Empirical Identification of the Distribution of the Value of Travel Time , 2012 .

[4]  D. Hensher The valuation of commuter travel time savings for car drivers: evaluating alternative model specifications , 2001 .

[5]  R. Brouwer,et al.  Changing with the Tide: Semi-Parametric Estimation of Preference Dynamics , 2013 .

[6]  Erik T. Verhoef,et al.  Overreporting vs. Overreacting: Commuters' Perceptions of Travel Times , 2013 .

[7]  André de Palma,et al.  The Welfare Effects Of Congestion Tolls With Heterogeneous Commuters , 1993 .

[8]  Hai Yang,et al.  The Impact of User Heterogeneity on Road Franchising , 2012 .

[9]  R. Tibshirani,et al.  Local Likelihood Estimation , 1987 .

[10]  R. Hathaway Another interpretation of the EM algorithm for mixture distributions , 1986 .

[11]  Gérard Govaert,et al.  An improvement of the NEC criterion for assessing the number of clusters in a mixture model , 1999, Pattern Recognit. Lett..

[12]  R. Brouwer,et al.  Changing with the Tide: Semiparametric Estimation of Preference Dynamics , 2014, Land Economics.

[13]  G. Celeux,et al.  An entropy criterion for assessing the number of clusters in a mixture model , 1996 .

[14]  Matthew E. Kahn,et al.  Estimating Housing Demand With an Application to Explaining Racial Segregation in Cities , 2003 .

[15]  David E. Mills Ownership Arrangements and Congestion-Prone Facilities , 1981 .

[16]  Henry G. Overman,et al.  Testing for Localisation Using Micro-Geographic Data , 2002 .

[17]  Weihua Guan,et al.  From the Help Desk: Bootstrapped Standard Errors , 2003 .

[18]  Mogens Fosgerau,et al.  Using nonparametrics to specify a model to measure the value of travel time , 2007 .

[19]  David A. Hensher,et al.  A latent class model for discrete choice analysis: contrasts with mixed logit , 2003 .

[20]  D. Hensher,et al.  Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence , 2010 .

[21]  Jeffrey S. Racine,et al.  Nonparametric Estimation of Regression Functions in the Presence of Irrelevant Regressors , 2007, The Review of Economics and Statistics.

[22]  Kenneth A. Small,et al.  Valuing time and reliability: assessing the evidence from road pricing demonstrations , 2003 .

[23]  Vincent A. C. van den Berg,et al.  Winning or losing from dynamic bottleneck congestion pricing?: The distributional effects of road pricing with heterogeneity in values of time and schedule delay , 2011 .

[24]  C. Winston,et al.  Can privatization of U.S. highways improve motorists' welfare? , 2011 .

[25]  C Terence,et al.  The Value of Time and Reliability: Measurement from a Value Pricing Experiment , 2003 .

[26]  Mogens Fosgerau,et al.  Using prospect theory to investigate the low marginal value of travel time for small time changes , 2012 .

[27]  Amil Petrin Quantifying the Benefits of New Products: The Case of the Minivan , 2001, Journal of Political Economy.

[28]  Robert B. Noland,et al.  Travel-time uncertainty, departure time choice, and the cost of morning commutes , 1995 .

[29]  D. McMillen,et al.  Estimation and Hypothesis Testing for Nonparametric Hedonic House Price Functions , 2010 .

[30]  Maria Börjesson,et al.  Assessing the welfare effects of congestion charges in a real world setting , 2014 .

[31]  Steven T. Berry,et al.  Automobile Prices in Market Equilibrium , 1995 .

[32]  Jianqing Fan,et al.  Local maximum likelihood estimation and inference , 1998 .

[33]  Jeffrey S. Racine,et al.  Nonparametric estimation of regression functions with both categorical and continuous data , 2004 .

[34]  Hai-Jun Huang,et al.  Fares and tolls in a competitive system with transit and highway: the case with two groups of commuters , 2000 .

[35]  Jianqing Fan,et al.  Local polynomial kernel regression for generalized linear models and quasi-likelihood functions , 1995 .

[36]  Mark Wardman,et al.  Meta-analysis of UK values of travel time: An update , 2011 .

[37]  Vincent A. C. van den Berg,et al.  Congestion Tolling in the Bottleneck Model with Heterogeneous Values of Time , 2011 .

[38]  André de Palma,et al.  Route choice with heterogeneous drivers and group-specific congestion costs , 1992 .

[39]  J. Horowitz Chapter 52 The Bootstrap , 2001 .

[40]  D. Ettema,et al.  Coping with Unreliable Transportation When Collecting Children: Examining Parents’ Behavior with Cumulative Prospect Theory , 2009 .