Value of Reliability : Actual Commute Experience Revealed Preference Approach

This research investigates the value placed by travelers on HOT lanes because of improvements in travel time reliability. This value depends on how the travelers regard a route with predictable travel times (or small travel time variability) in comparison to another with unpredictable travel times (or high travel time variability). For this purpose, commuters were recruited and equipped with Global Positioning System (GPS) devices and instructed to commute for two weeks on each of three plausible alternatives between their home in the western suburbs of Minneapolis eastbound to work in downtown or the University of Minnesota: I-394 HOT lanes, I-394 General Purpose lanes (untolled), and signalized arterials close to the I-394 corridor. They were then given the opportunity to travel on their preferred route after experiencing each alternative. This revealed preference data was then analyzed using mixed logit route choice models. Three measures of reliability were explored and incorporated in the estimation of the models: standard deviation (a classical measure in the research literature); shortened right range (typically found in departure time choice models); and interquartile range (75th 25th percentile). Each of these measures represents distinct ways about how travelers deal with different sections of reliability. In all the models, it was found that reliability was valued highly (and statistically significantly), but differently according to how it was defined. The estimated value of reliability in each of the models indicates that commuters are willing to pay a fee for a reliable route depending on how they value their reliability savings. Furthermore, a meta-analysis is performed in order to explain the differences across valuation ratio estimates across studies. The results indicate differences are significant across regions, choice dimension (e.g. mode choice), travel time unit (e.g. data collected at AM or PM), and year of study.

[1]  Eliahu Stern,et al.  Determinants of subjective time estimates in simulated urban driving , 1988 .

[2]  R. Hamerslag.  Investigation into factors affecting the route choice in “Rijnstreek-West” with the aid of a disaggregate logit model , 1981 .

[3]  R. Herman,et al.  An Attempt to Characterize Traffic in Metropolitan Areas , 1978 .

[4]  Stephane Hess,et al.  Advanced discrete choice models with applications to transport demand , 2005 .

[5]  Will Recker,et al.  Travel Time Reliability with Risk-Sensitive Travelers , 2001 .

[6]  D. Bartram,et al.  Comprehending spatial information: the relative efficiency of different methods of presenting information about bus routes. , 1980, The Journal of applied psychology.

[7]  Mohamed Abdel-Aty,et al.  USING STATED PREFERENCE DATA FOR STUDYING THE EFFECT OF ADVANCED TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE , 1997 .

[8]  C. Winston,et al.  Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability , 2005 .

[9]  C. Winston,et al.  Differentiated Road Pricing, Express Lanes and Carpools: Exploiting Heterogeneous Preferences in Policy Design , 2006 .

[10]  S. Dafermos.  The Traffic Assignment Problem for Multiclass-User Transportation Networks , 1972 .

[11]  David Levinson,et al.  A Moment of Time: Reliability in Route Choice Using Stated Preference , 2010, J. Intell. Transp. Syst..

[12]  Michel Bierlaire,et al.  BIOGEME: a free package for the estimation of discrete choice models , 2003 .

[13]  Dynamic travel time estimation on highway networks , 1973 .

[14]  M. Wardman.  THE VALUE OF TRAVEL TIME. A REVIEW OF BRITISH EVIDENCE , 1998 .

[15]  D. McFadden.  Disaggregate Behavioral Travel Demand's RUM Side A 30-Year Retrospective , 2000 .

[16]  Kenneth A. Small,et al.  THE SCHEDULING OF CONSUMER ACTIVITIES: WORK TRIPS , 1982 .

[17]  Darrel L Trueblood.  EFFECT OF TRAVEL TIME AND DISTANCE ON FREEWAY USAGE , 1952 .

[18]  A. Ghosh.  Valuing Time and Reliability: Commuters' Mode Choice from a Real Time Congestion Pricing Experiment , 2001 .

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

[20]  Pitu Mirchandani,et al.  Generalized Traffic Equilibrium with Probabilistic Travel Times and Perceptions , 1987, Transp. Sci..

[21]  F. Koppelman,et al.  Stated preferences for investigating commuters' diversion propensity , 1993 .

[22]  Jia Yan,et al.  Heterogeneity in Motorists' Preferences for Time Travel and Time Reliability: Empirical Findings from Multiple Survey Data Sets and Its Policy Implications , 2002 .

[23]  Mark Wardman,et al.  Public transport values of time , 2004 .

[24]  S. Jara-Díaz.  Allocation and Valuation of Travel-Time Savings , 2007 .

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

[26]  A. Reggiani,et al.  Meta-Analysis and the Value of Travel Time Savings: A Transatlantic Perspective in Passenger Transport , 2007 .

[27]  Sergio R Jara-Diaz,et al.  ALLOCATION AND VALUATION OF TRAVEL-TIME SAVINGS. IN: HANDBOOK OF TRANSPORT MODELLING , 2000 .

[28]  David M Levinson,et al.  Unexpected delay and the cost of lateness on I-394 high occupancy/toll lanes , 2008 .

[29]  Thomas J Triggs,et al.  Driving simulator validation for speed research. , 2002, Accident; analysis and prevention.

[30]  Aura Reggiani,et al.  Freight Transport and the Value of Travel Time Savings: A Meta‐analysis of Empirical Studies , 2007 .

[31]  David M Levinson,et al.  Waiting Tolerance: Ramp Delay Vs. Freeway Congestion , 2006 .

[32]  Richard M Michaels.  ATTITUDES OF DRIVERS TOWARD ALTERNATIVE HIGHWAYS AND THEIR RELATION TO ROUTE CHOICE , 1966 .

[33]  Chandra R. Bhat,et al.  The Impact of Stop-Making and Travel Time Reliability on Commute Mode Choice , 2006 .

[34]  R. Golledge.  Wayfinding Behavior: Cognitive Mapping and Other Spatial Processes , 2010 .

[35]  M. Ben-Akiva,et al.  MODELLING INTER URBAN ROUTE CHOICE BEHAVIOUR , 1984 .

[36]  Reginald G. Golledge,et al.  Place recognition and wayfinding: Making sense of space , 1992 .

[37]  Alan Nicholson,et al.  ASSESSING TRANSPORT RELIABILITY: MALEVOLENCE AND USER KNOWLEDGE , 2003 .

[38]  Randall Guensler,et al.  Analysis of Morning Commute Route Choice Patterns Using Global Positioning System–Based Vehicle Activity Data , 2005 .

[39]  Karel J. Kansky.  Travel Patterns of Urban Residents , 1967, Transp. Sci..

[40]  J. Kadane.  Structural Analysis of Discrete Data with Econometric Applications , 1984 .

[41]  D. McFadden.  Econometric Models for Probabilistic Choice Among Products , 1980 .

[42]  M. Bierlaire,et al.  ESTIMATION OF VALUE OF TRAVEL-TIME SAVINGS USING MIXED LOGIT MODELS , 2005 .

[43]  Gerard J. Blaauw,et al.  Driving Experience and Task Demands in Simulator and Instrumented Car: A Validation Study , 1982 .

[44]  Carlos F. Daganzo,et al.  On Stochastic Models of Traffic Assignment , 1977 .

[45]  David M Levinson,et al.  Weighting Waiting: Evaluating Perception of In-Vehicle Travel Time Under Moving and Stopped Conditions , 2004 .

[46]  A. Tversky.  Choice by elimination , 1972 .

[47]  Henry X. Liu,et al.  Estimation of the Time-dependency of Values of Travel Time and Its Reliability from Loop Detector Data , 2007 .

[48]  A. Tversky.  Elimination by aspects: A theory of choice. , 1972 .

[49]  Yin-Yen Tseng,et al.  Valuation of Travel Time Reliability in Passenger Transport , 2008 .

[50]  A. Deserpa.  A Theory of the Economics of Time , 1971 .

[51]  A. Cameron,et al.  Microeconometrics: Methods and Applications , 2005 .

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

[53]  F. B. Vernadat,et al.  Decisions with Multiple Objectives: Preferences and Value Tradeoffs , 1994 .

[54]  Susan E. Jackson,et al.  Meta-analysis analysis. , 1987 .

[55]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[56]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[57]  P. Thorndyke,et al.  Simulating Navigation for Spatial Knowledge Acquisition , 1982 .

[58]  Elisabetta Cherchi,et al.  Modelling Individual Preferences, State of the Art, Recent Advances and Future Directions , 2012 .

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

[60]  Moshe Ben-Akiva,et al.  A meta-model for passenger and freight transport in Europe , 2004 .

[61]  Randall Guensler,et al.  Using Global Positioning System Data to Understand Day-to-Day Dynamics of Morning Commute Behavior , 2004 .

[62]  A..  Stated preference analysis of travel choices: the state of practice , 2004 .

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

[64]  Kenneth Button,et al.  What Can Meta-analysis Tell Us about the Implications of Transport? , 1995 .

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

[66]  Manouchehr Vaziri,et al.  PERCEIVED FACTORS AFFECTING DRIVER ROUTE DECISIONS , 1983 .

[67]  John W. Polak,et al.  Capturing taste heterogeneity and correlation structure with mixed GEV models , 2005 .

[68]  Hani S. Mahmassani,et al.  Interactive Experiments for the Study of Trip maker Behaviour Dynamics in Congested Commuting Systems , 1990 .

[69]  Donald P. Gaver,et al.  Headstart Strategies for Combating Congestion , 1968 .

[70]  Alan Nicholson,et al.  Degradable transportation systems: An integrated equilibrium model , 1997 .

[71]  G. Arnqvist,et al.  Meta-analysis: synthesizing research findings in ecology and evolution. , 1995, Trends in ecology & evolution.

[72]  Hani S. Mahmassani,et al.  On Boundedly Rational User Equilibrium in Transportation Systems , 1987, Transp. Sci..

[73]  P. Bovy,et al.  ROUTE CHOICE: WAYFINDING IN TRANSPORT NETWORKS , 1990 .

[74]  Hainan Li.  Investigating Morning Commute Route Choice Behavior Using Global , 2004 .

[75]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[76]  J. Shires,et al.  An international meta-analysis of values of travel time savings. , 2009, Evaluation and program planning.

[77]  J R Duffell,et al.  EMPIRICAL STUDIES OF CAR DRIVER ROUTE CHOICE IN HERTFORDSHIRE , 1988 .