Measuring value of travel time and travel time variability in the presence of managed lanes: results from a pilot stated preference survey on the Capital Beltway

Abstract Managed lanes are roadways that have additional requirements placed on their usage in an effort to maintain reliable, uncongested flow. This concept is already gaining use in some parts of the United States where vehicles that do not meet the minimum vehicle occupancy requirements are allowed to use the high occupancy vehicle (HOV) lane with the payment of a fee, leading to the term, high occupancy toll (HOT) lanes. This study collects data on behavioral responses to managed lanes and in particular quantifies a traveler’s value of time in the hypothetical scenario that managed lanes are applied on the Maryland side of the Capital Beltway. The main purpose is to provide a data collection and evaluation framework to assess potential projects. Two stated preference (SP) surveys have been designed and executed. The first analyzes choice across normal lanes, HOT and HOV, proposing different components of travel time. The second is developed in a context of departure time shift and proposes uncertainty as a range. Results show that the second experiment was more successful in recovering work and non-work values of travel time, delivers significant results for the uncertainty coefficients, and reinforces the finding that later departure time is perceived more negatively than earlier departure time.

[1]  F. Knight Some Fallacies in the Interpretation of Social Cost , 1924 .

[2]  Andrew Daly,et al.  Assuring finite moments for willingness to pay in random coefficient models , 2009 .

[3]  Philippe L. Toint,et al.  Estimating Nonparametric Random Utility Models with an Application to the Value of Time in Heterogeneous Populations , 2010, Transp. Sci..

[4]  Mansoureh Jeihani,et al.  On the Impact of HOT Lane Tolling Strategies on Total Traffic Level , 2012 .

[5]  A. Daly,et al.  Flexible substitution patterns in models of mode and time of day choice: new evidence from the UK and the Netherlands , 2007 .

[6]  J. Bates,et al.  The valuation of reliability for personal travel , 2001 .

[7]  One Gateway Plaza,et al.  Metropolitan Transportation Authority , 1998 .

[8]  David A. Hensher,et al.  The Mixed Logit Model: the State of Practice and Warnings for the Unwary , 2001 .

[9]  Juan de Dios Ortúzar,et al.  Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence , 2005 .

[10]  Liping Fu,et al.  Empirical evidence from the Greater Toronto Area on the acceptability and impacts of HOT lanes , 2011 .

[11]  J. Jucker,et al.  An Empirical Study of Travel Time Variability and Travel Choice Behavior , 1982 .

[12]  Kenneth Button,et al.  Road pricing, traffic congestion and the environment : issues of efficiency and social feasibility , 1998 .

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

[14]  Yaron Hollander,et al.  Direct versus indirect models for the effects of unreliability , 2006 .

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

[16]  Joel Huber,et al.  Customer-Specific Taste Parameters and Mixed Logit , 1999 .

[17]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[18]  Luiz Afonso dos Santos Senna,et al.  The influence of travel time variability on the value of time , 1994 .

[19]  Andrew Daly,et al.  Development of Surveys for Study of Departure Time Choice: Two-Stage Approach to Efficient Design , 2012 .

[20]  C. Lindsey Do Economists Reach A Conclusion on Road Pricing? The Intellectual History of an Idea , 2006 .

[21]  Francesco Viti,et al.  An optimization problem with dynamic route-departure time choice and pricing , 2003 .

[22]  R. Noland,et al.  Travel time variability: A review of theoretical and empirical issues , 2002 .

[23]  John Doan High-Occupancy Toll-Lane Innovations: I-394 MnPASS , 2007 .

[24]  Andrew Daly,et al.  Developing surveys for the study of departure time choice : 3 a two-stage efficient design approach 4 5 , .

[25]  André de Palma,et al.  Recent Developments in the Bottleneck Model , 1995 .

[26]  Maria Börjesson,et al.  The Stockholm congestion charges – five years on. Effects, acceptability and lessons learnt , 2012 .

[27]  C. Winston,et al.  The value of automobile travel time: implications for congestion policy , 1998 .

[28]  Anna Matas,et al.  Commuters' valuation of travel time variability , 2008 .

[29]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[30]  Maria Börjesson Joint RP–SP data in a mixed logit analysis of trip timing decisions , 2008 .

[31]  Maria Börjesson,et al.  Properties of Internet and Telephone Data Collection Methods in a Stated Choice Value of Time Study Context , 2011 .

[32]  Kay W. Axhausen,et al.  The impacts of road pricing on route and mode choice behaviour , 2010 .