Modeling the Propensity to Use a Sustainable Mode in the Context of a Program of Voluntary Change in Travel Behavior

This paper proposes a modeling approach for evaluating the effect of a personalized travel plan on a sustainable mode choice. A panel binary probit was estimated by using the approach of composite marginal-likelihood estimation. The formulation modeled the choice of using a light rail service (versus that of not using it) by means of daily individual panel observations collected in the context of a program of voluntary travel behavior change (VTBC) before and after the provision of a personalized travel plan. In this regard, a VTBC program was a policy measure that used communication and information to encourage individuals to use more sustainable travel modes. In this study, the VTBC program was implemented by providing car users with personalized information about how to introduce the light rail service into their travel patterns.

[1]  Peter R. Stopher,et al.  TRAVEL BEHAVIOUR MODIFICATION: A CRITICAL APPRAISAL , 2003 .

[2]  Michael Carreno,et al.  How best to evaluate mobility management projects: can psychological theory help? , 2010 .

[3]  C. Varin,et al.  A comparison of the maximum simulated likelihood and composite marginal likelihood estimation approaches in the context of the multivariate ordered-response model , 2010 .

[4]  Juan de Dios Ortúzar,et al.  Modeling Discrete Choices in the Presence of Inertia and Serial Correlation , 2007, Transp. Sci..

[5]  W. Brög,et al.  Evaluation of voluntary travel behaviour change: Experiences from three continents , 2009 .

[6]  Tommy Gärling,et al.  Soft Transport Policy Measures: Gaps in Knowledge , 2011 .

[7]  Tommy Gärling,et al.  Role and Acquisition of Car-Use Habit , 2007 .

[8]  Maria Johansson,et al.  The effects of attitudes and personality traits on mode choice , 2006 .

[9]  J. Thøgersen,et al.  Spillover of environment-friendly consumer behaviour , 2003 .

[10]  Peter Jones,et al.  Acceptability of Road User Charging: Meeting the Challenge , 2003 .

[11]  Luigi Pace,et al.  ADJUSTING COMPOSITE LIKELIHOOD RATIO STATISTICS , 2009 .

[12]  Peter Bonsall,et al.  Special Issue on Evaluation of programmes promoting voluntary change in travel behavior , 2009 .

[13]  E. Cherchi,et al.  Accounting for inertia in modal choices: some new evidence using a RP/SP dataset , 2011 .

[14]  Jillian Anable,et al.  Smarter choices - changing the way we travel , 2004 .

[15]  Chandra R. Bhat,et al.  The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models , 2011 .

[16]  Michael A. P. Taylor,et al.  Voluntary Travel Behavior Change Programs in Australia: The Carrot Rather Than the Stick in Travel Demand Management , 2007 .

[17]  J. Schade,et al.  Acceptability of Transport Pricing Strategies , 2003 .

[18]  Jillian Anable,et al.  Smarter choices - changing the way we travel - final report of the research project 'The influence of soft factor interventions on travel demand' - vols 1 and 2 , 2004 .

[19]  Geert Wets,et al.  Shifting towards environment-friendly modes: profiling travelers using Q-methodology , 2009 .

[20]  Chandra R. Bhat,et al.  The effect of personal cap-and-trade mileage policies on individual activity-travel patterns: the Activity Locator project , 2011 .

[21]  Carey Curtis,et al.  Targeting travel awareness campaigns: Which individuals are more likely to switch from car to other transport for the journey to work? , 1997 .

[22]  S. Fujii,et al.  Determinants of the effectiveness of travel feedback programs—a review of communicative mobility management measures for changing travel behaviour in Japan , 2006 .

[23]  Chandra R. Bhat,et al.  A multi-level cross-classified model for discrete response variables , 2000 .

[24]  G. Rose,et al.  Travel blending: an Australian travel awareness initiative , 1997 .

[25]  Elizabeth Ampt,et al.  Voluntary Household Travel Behaviour Change - Theory and Practice , 2003 .

[26]  Jillian Anable,et al.  'Complacent Car Addicts' or 'Aspiring Environmentalists'? Identifying travel behaviour segments using attitude theory , 2005 .