The paper describes the application to the Washington, D.C., metropolitan area of an activity-based model system that simulates individual commuters' adaptation behaviour in response to changes in the travel environment brought about by the implementation of Transportation Control Measures (TCMs). The components of the model system are calibrated using the results of specially designed multi-phase stated-preference (SP) survey along with existing land use and network data. Three TCMs - congestion pricing, parking management, and bike/pedestrian facility improvements - and their combinations are addressed in the study. In the presentation, the basic assumptions and working of the AMOS model system are described, the design, administration and statistical results of the SP survey are presented, results of the application of AMOS to evaluate the effectiveness of the above TCMs are discussed, and the advantages and disadvantages of the proposed approach are examined in comparison with the conventional trip-based approaches. (A)
Samenvatting