Latent variables and route choice behavior

In the last decade, a broad array of disciplines has shown a general interest in enhancing discrete choice models by considering the incorporation of psychological factors affecting decision making. This paper provides insight into the comprehension of the determinants of route choice behavior by proposing and estimating a hybrid model that integrates latent variable and route choice models. Data contain information about latent variable indicators and chosen routes of travelers driving regularly from home to work in an urban network. Choice sets include alternative routes generated with a branch and bound algorithm. A hybrid model consists of measurement equations, which relate latent variables to measurement indicators and utilities to choice indicators, and structural equations, which link travelers’ observable characteristics to latent variables and explanatory variables to utilities. Estimation results illustrate that considering latent variables (i.e., memory, habit, familiarity, spatial ability, time saving skills) alongside traditional variables (e.g., travel time, distance, congestion level) enriches the comprehension of route choice behavior.

[1]  E. Martins,et al.  An algorithm for the ranking of shortest paths , 1993 .

[2]  Denis Bolduc,et al.  Hybrid Choice Modeling of New Technologies for Car Choice in Canada , 2008 .

[3]  Stefan Schönfelder,et al.  Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information , 2004 .

[4]  Shlomo Bekhor,et al.  Methodology for Exploratory Analysis of Latent Factors Influencing Drivers' Behavior , 2005 .

[5]  N. J. V. Zijpp,et al.  Path enumeration by finding the constrained K-shortest paths , 2005 .

[6]  D. Kahneman.  MAPS OF BOUNDED RATIONALITY: A PERSPECTIVE ON INTUITIVE JUDGMENT AND CHOICE , 2003 .

[7]  Kay W. Axhausen,et al.  Route choice of cyclists in Zurich , 2010 .

[8]  Joan L. Walker,et al.  Hybrid Choice Models: Progress and Challenges , 2002 .

[9]  Isam Kaysi,et al.  INFLUENCE OF TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE BEHAVIOR , 1993 .

[10]  Alain L. Kornhauser,et al.  Assigning traffic over essentially-least-cost paths , 1996 .

[11]  Mohamed Abdel-Aty,et al.  Exploring route choice behavior using geographic information system-based alternative routes and hypothetical travel time information input , 1995 .

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

[13]  Shlomo Bekhor,et al.  Investigation of Stochastic Network Loading Procedures , 1998 .

[14]  Shlomo Bekhor,et al.  Applying Branch-and-Bound Technique to Route Choice Set Generation , 2006 .

[15]  Carlo Giacomo Prato,et al.  Latent Factors and Route Choice Behaviour , 2011 .

[16]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[17]  Otto Anker Nielsen,et al.  Behavioral Responses to Road Pricing Schemes: Description of the Danish AKTA Experiment , 2004, J. Intell. Transp. Syst..

[18]  Dominik Papinski,et al.  Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS , 2009 .

[19]  James W. Pellegrino,et al.  The acquisition and integration of route knowledge in an unfamiliar neighborhood , 1990 .

[20]  M. Bierlaire,et al.  Sampling of Alternatives for Route Choice Modeling , 2009 .

[21]  Kay W. Axhausen,et al.  Route choice sets for very high-resolution data , 2013 .

[22]  Carlo G. Prato,et al.  The Factor of Revisited Path Size , 2008 .

[23]  Michael Scott Ramming,et al.  NETWORK KNOWLEDGE AND ROUTE CHOICE , 2002 .

[24]  C. Bhat.  Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences , 2003 .

[25]  Piet H. L. Bovy,et al.  STOCHASTIC ROUTE CHOICE SET GENERATION: BEHAVIORAL AND PROBABILISTIC FOUNDATIONS , 2007 .

[26]  P. Bovy,et al.  Impact of Route Choice Set on Route Choice Probabilities , 2008 .

[27]  Mohamed Abdel-Aty,et al.  Exploratory Spatial Analysis of Expressway Ramps and its Effect on Route Choice , 2004 .

[28]  H. Aarts,et al.  THE AUTOMATIC ACTIVATION OF GOAL-DIRECTED BEHAVIOUR: THE CASE OF TRAVEL HABIT , 2000 .

[29]  Serge P. Hoogendoorn,et al.  Joint Modeling of Advanced Travel Information Service, Habit, and Learning Impacts on Route Choice by Laboratory Simulator Experiments , 2005 .

[30]  Seiji Iwakura,et al.  Multinomial probit with structured covariance for route choice behavior , 1997 .

[31]  Shlomo Bekhor,et al.  Evaluation of choice set generation algorithms for route choice models , 2006, Ann. Oper. Res..

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

[33]  P. Raghubir,et al.  As the Crow Flies: Bias in Consumers' Map-Based Distance Judgments , 1996 .

[34]  Michel Bierlaire,et al.  Capturing correlation with subnetworks in route choice models , 2007 .

[35]  Sascha Hoogendoorn-Lanser.  Modelling Travel Behaviour in Multi-modal Networks , 2005 .

[36]  E. Cascetta,et al.  A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. SPECIFICATION AND SOME CALIBRATION RESULTS FOR INTERURBAN NETWORKS , 1996 .

[37]  B. Verplanken,et al.  Habit, attitude, and planned behaviour : is habit an empty construct or an interesting case of goal-directed automaticity? , 1999 .

[38]  Jianhe Du,et al.  Modeling Stated and Revealed Route Choice: Consideration of Consistency, Diversion, and Attitudinal Variables , 2006 .

[39]  M. Bierlaire,et al.  Discrete Choice Methods and their Applications to Short Term Travel Decisions , 1999 .

[40]  Erhan Erkut,et al.  On finding dissimilar paths , 2000, Eur. J. Oper. Res..

[41]  R. Dalton.  The Secret Is To Follow Your Nose , 2001 .

[42]  Samer Madanat,et al.  ANALYSIS OF STATED ROUTE DIVERSION INTENTIONS UNDER ADVANCED TRAVELER INFORMATION SYSTEMS USING LATENT VARIABLE MODELING , 1995 .

[43]  Shlomo Bekhor,et al.  Modeling Route Choice Behavior , 2007 .

[44]  Shlomo Bekhor,et al.  Adaptation of Logit Kernel to Route Choice Situation , 2002 .

[45]  Joan L. Walker.  Extended discrete choice models : integrated framework, flexible error structures, and latent variables , 2001 .

[46]  T. Gärling,et al.  Spatial Behavior in Transportation Modeling and Planning , 2001 .

[47]  Scott M. Freundschuh,et al.  Is there a Relationship Between Spatial Cognition and Environmental Patterns? , 1992, Spatio-Temporal Reasoning.

[48]  T de la Barra,et al.  Multidimensional path search and assignment , 1993 .

[49]  S. Bekhor,et al.  Stochastic User Equilibrium Formulation for Generalized Nested Logit Model , 2001 .

[50]  Eran Ben-Elia,et al.  The combined effect of information and experience on drivers’ route-choice behavior , 2008 .

[51]  K. Train.  Discrete Choice Methods with Simulation , 2003 .

[52]  Tommy Gärling,et al.  Application of attitude theory for improved predictive accuracy of stated preference methods in travel demand analysis , 2003 .