[en] An important policy instrument for governments to modify travel behavior and manage the increasing travel demand is the introduction of a congestion pricing system. In this study, the influence of a detailed classification of activities is examined to assess likely traveler response to congestion pricing scenarios. Despite the fact that most studies do not differentiate between activity categories, the value of time and in general the space–time properties and constraints of different types of activities vary widely. For this reason, it is of importance to provide sufficient detail and sensitivity in assessing the impact of congestion pricing scenarios. In addition, a first assessment of travelers’ possible multifaceted adaptation patterns is presented. For these purposes, a stated adaptation study was conducted in Flanders, the Dutch-speaking region of Belgium. The experiment was conducted through an interactive stated adaptation survey. In the stated adaptation experiment, respondents could indicate their responses to the congestion pricing scenario. The most prevalent conclusion is that the activity type significantly predetermines the willingness to express a more environment-friendly behavior (i.e., reducing the number of trips, reducing the total distance traveled, switching to more environment-friendly modes). Also, the willingness to show ecological activity-travel behavior (e.g., carpooling and using public transport) in a nonpricing situation is a major differentiator of future behavior in a congestion pricing scenario.
Research Center/Unit :
Lepur : Centre de Recherche sur la Ville, le Territoire et le Milieu rural - ULiège LEMA - Local Environment Management and Analysis
Disciplines :
Civil engineering Special economic topics (health, labor, transportation...)
Macharis, C., and R. Ramboer. Transferable Mobility Rights: A Socio-Economic Feasibility Study with the Aid of System Dynamics. Proc., First Nordic Conference on Decision Support, Lübeck, Germany, 2003.
Mayeres, I., and S. Proost. Reforming Transport Pricing: An Economist's Perspective on Equity, Efficiency, and Acceptability. In Acceptability of Transport Pricing Strategies (J. Schade and B. Schlag, eds.), Elsevier, Oxford, United Kingdom, 2003.
Proost, S., K. Van Dender, C. Courcelle, and B. De Borger. How Large Is the Gap Between Present and Efficient Transport Prices in Europe? Transport Policy, Vol.9, No.1, 2002, pp. 41-57.
Ubbels, B., and E. Verhoef. Acceptability of Road Pricing and Revenue Use in the Netherlands. Presented at European Transport Conference, Strasbourg, France, 2005.
Steg, L. Factors Influencing the Acceptability and Effectiveness of Transport Pricing. In Acceptability of Transport Pricing Systems (J. Schade and B. Schlag, eds.), Elsevier, Oxford, United Kingdom, 2003, pp. 187-202.
Small, K. A. Urban Transportation Economics. Harwood Academic Publishers, Chur, Switzerland, 1992.
Lam, T. C., and K. A. Small. The Value of Time and Reliability Measurement from a Value Pricing Experiment. Transportation Research E, Vol.37, 2001, pp. 231-251.
Ghosh, A. To Pay or Not to Pay: Commuters' Mode Choice Under Real-Time Congestion Pricing. Presented at 80th Annual Meeting of the Transportation Research Board, Washington, D.C., 2001.
Kazimi, C., D. Brownstone, A. Ghosh, T. F. Golob, and D. Van Amelsfort. Willingness to Pay to Reduce Commute Time and Its Variance: Evidence from the San-Diego I-15 Congestion Pricing Project. Presented at 79th Annual Meeting of the Transportation Research Board, Washington, D.C., 2000.
Mastako, K. A., L. R. Rilett, M. D. Hickman, and E. C. Sullivan. Commute Strategies, Choice Sets, and Revealed Strategy Choices in a Value-Priced Corridor. Presented at 81st Annual Meeting of the Transportation Research Board, Washington, D.C., 2002.
Pendyala, R. M., R. Kitamura, C. Chen, and E. I. Pas. An Activity-Based Microsimulation Analysis of Transportation Control Measures. Transport Policy, Vol.4, 1997, pp. 183-192.
Yamamoto, T., S. Fujii, R. Kitamura, and H. Yoshida. Analysis of Time Allocation, Departure Time, and Route Choice Behavior Under Congestion Pricing. In Transportation Research Record: Journal of the Transportation Research Board, No.1725, TRB, National Research Council, Washington, D.C., 2000, pp. 95-101.
Arentze, T. A., F. Hofman, and H. J. P. Timmermans. Predicting Multi-Faceted Activity-Travel Adjustment Strategies in Response to Possible Congestion Pricing Scenarios Using an Internet-Based Stated Adaptation Experiment. Transport Policy, Vol.11, 2004, pp. 31-41.
Arentze, T. A., and H. J. P. Timmermans. Congestion Pricing Scenarios and Change of Job or Residential Location: Results of a Stated Adaptation Experiment. Journal of Transport Geography, Vol.15, No.1, 2007, pp. 56-61.
Arentze, T. A., and H. J. P. Timmermans. Albatross: A Learning-Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies. Eindhoven, Netherlands, 2000.
Arentze, T. A., and H. J. P. Timmermans. Albatross 2: A Learning-Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies. Eindhoven, Netherlands, 2005.
Bhat, C. R., J. Y. Guo, S. Srinivasan, and A. Sivakumar. A Comprehensive Micro-Simulator for Daily Activity-Travel Patterns. Presented at Conference on Progress in Activity-Based Models, Maastricht, Netherlands, 2004.
Pendyala, R. M., R. Kitamura, A. Kikuchi, T. Yamamoto, and S. Fujii. Florida Activity Mobility Simulator: Overview and Preliminary Validation Results. In Transportation Research Record: Journal of the Transportation Research Board, No.1921, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 123-130.
Roorda, M., E. J. Miller, and K. N. Habib. Validation of TASHA: A 24-Hour Activity Scheduling Microsimulation Model. Presented at 86th Annual Meeting of the Transportation Research Board Meeting, Washington, D.C., 2007.
Vovsha, P., M. Bradley, and J. L. Bowman. Activity-Based Travel Forecasting in the United States: Progress Since 1995 and Prospects for the Future. Presented at Conference on Progress in Activity-Based Models, Maastricht, Netherlands, 2004.
Lee-Gosselin, M. E. H. Scope and Potential of Interactive Stated Response Data Collection Methods. In Conference Proceeding 10, Household Travel Surveys: New Concepts and Research Needs, TRB, National Research Council, Washington, D.C., 1996, pp. 115-133.
Agresti, A. Categorical Data Analysis, 2nd ed. John Wiley & Sons, Hoboken, N.J., 2002.
Allison, P. D. Logistic Regression Using the SAS System. SAS Institute, Cary, N.C., 1999.
Nilsson, M., and R. Kuller. Travel Behaviour and Environmental Concern. Transportation Research Part D, Vol.5, No.3, 2000, pp. 211-234.
