Analysis of park-and-ride decision behavior based on Decision Field Theory

Park and ride is a kind of traffic management solution to the traffic congestion problem in urban cities. This paper analyzes the decision making behavior of Park and Ride from a psychological point of view. Decision Field Theory is used to establish the decision model of Park and Ride. The proposed decision model is calibrated using real-life experimental survey data and has proved to be able to account for the complex decision behavior processes observed in the experimental survey data. The model demonstrates the psychological decision processes of individual travelers and the decision characteristics, such as simple decision, indecision and preference reversal. The effects of factors, e.g. deliberation time, deliberation threshold and initial preference, for mode choice are also examined. The proposed model demonstrates its capability of analyzing park-and-ride decision behavior and providing policy makers with useful information for future promotion and planning for park-and-ride facilities.

[1]  J. Townsend,et al.  Decision field theory: a dynamic-cognitive approach to decision making in an uncertain environment. , 1993, Psychological review.

[2]  Feng Gao,et al.  Route Choice Behavior Model with Guidance Information , 2010 .

[3]  J. Garvill,et al.  Interrupting habitual car use : The importance of car habit strength and moral motivation for personal car use reduction , 2008 .

[4]  Wang Ming-zhe.  Process-Oriented Dynamic Route Choice Model , 2009 .

[5]  Adele Diederich,et al.  Simple matrix methods for analyzing diffusion models of choice probability, choice response time, and simple response time , 2003 .

[6]  John W. Payne,et al.  Task complexity and contingent processing in decision making: An information search and protocol analysis☆ , 1976 .

[7]  Li Ji-yun,et al.  The Application of Decision Field Theory in Clothing Style Evaluation , 2010 .

[8]  D. McFadden.  The Choice Theory Approach to Market Research , 1986 .

[9]  I. Walker,et al.  Context change and travel mode choice : Combining the habit discontinuity and self-activation hypotheses , 2008 .

[10]  Adele Diederich,et al.  Survey of decision field theory , 2002, Math. Soc. Sci..

[11]  P. Glimcher.  Making choices: the neurophysiology of visual-saccadic decision making , 2001, Trends in Neurosciences.

[12]  J. Townsend,et al.  Fundamental derivations from decision field theory , 1992 .

[13]  Jerome R. Busemeyer,et al.  Rule-Based Decision Field Theory: A Dynamic Computational Model of Transitions Among Decision-Making Strategies , 2014 .

[14]  Ilona Bos,et al.  Exploring Heterogeneity in Park-and-Ride Preferences: Latent Class Model , 2009 .

[15]  Roger Ratcliff,et al.  A Theory of Memory Retrieval. , 1978 .

[16]  Michael Schulte-Mecklenbeck,et al.  A Handbook of Process Tracing Methods for Decision Research. A Critical Review and User's Guide , 2011 .

[17]  Joseph G. Johnson,et al.  A dynamic, stochastic, computational model of preference reversal phenomena. , 2005, Psychological review.

[18]  Eliahu Stern,et al.  Reactions to congestion under time pressure , 1999 .

[19]  John Geweke,et al.  Decision Making Under Risk and Uncertainty , 1992 .

[20]  Jerome R. Busemeyer,et al.  The Cambridge Handbook of Computational Psychology: Micro-Process Models of Decision Making , 2007 .

[21]  Erik D. Reichle,et al.  Eye movements in reading and information processing : , 2015 .

[22]  J. Townsend,et al.  Multialternative Decision Field Theory: A Dynamic Connectionist Model of Decision Making , 2001 .

[23]  R. Ratcliff,et al.  Multialternative decision field theory: a dynamic connectionist model of decision making. , 2001, Psychological review.

[24]  Jerome R. Busemeyer,et al.  Computational Models of Decision Making , 2003 .

[25]  David Mazursky,et al.  New directions in behavioral process research: Implications for social psychology , 1987 .

[26]  Joseph G. Johnson,et al.  Preferences constructed from dynamic micro-processing mechanisms , 2006 .

[27]  A. Diederich.  MDFT account of decision making under time pressure , 2003, Psychonomic Bulletin & Review.

[28]  Arne Risa Hole,et al.  Forecasting the demand for an employee Park and Ride service using commuters' stated choices , 2004 .

[29]  Satoshi Fujii,et al.  What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change , 2003 .