Evaluation of road pricing policy with semi-dynamic combined stochastic user equilibrium model

This study analyzes the effect of road pricing using a model with the following characteristics: 1) integration of trip generation (i.e. activity choice), destination choice, mode choice and route choice; 2) consideration of hourly traffic condition variations including queue evolution; and 3) approximate reproduction of trip chain along the time axis. An evaluation of road pricing in the Nagoya Metropolitan Area shows that pricing leads to an effective improvement in the environment as a result of a reduced number of car trips, and at the same time, there is a great reduction in the number of visitors because there is a change of destination and only a small shift to railway. INTRODUCTION Nagoya City has come to suffer from chronic traffic congestion and air pollution as a result of overdependence on the automobile. Planning and implementation of improvements to the road and railway networks as well as efforts at transportation demand management (TDM) have aimed at achieving more appropriate automobile usage. Recently, a lot of attention has focused on road pricing, which is one policy for TDM, because of the reported great success of examples in Singapore and London. Since road pricing is a policy by which road users are expected to pay charges, it is supposed that travelers including road users would change their choice of route, mode, destination, departure time and even the decision of whether to travel

[1]  Takashi Akamatsu,et al.  Decomposition of Path Choice Entropy in General Transport Networks , 1997, Transp. Sci..

[2]  G. Gentile,et al.  Advanced pricing and rationing policies for large scale multimodal networks , 2005 .

[3]  Ryo Kanamori,et al.  APPLICATION OF TIME-DEPENDENT STOCHASTIC EQUILIBRIUM ASSIGNMENT MODEL CONSIDERING ACTIVITY CHOICES TO THE NAGOYA METROPOLITAN AREA , 2007 .

[4]  Tomio Miwa,et al.  Route Identification and Travel Time Prediction Using Probe-Car Data , 2004 .

[5]  H. Pietrantonio URBAN TRAVEL DEMAND MODELING: FROM INDIVIDUAL CHOICES TO GENERAL EQUILIBRIUM , 1997 .

[6]  Robert B. Dial,et al.  A PROBABILISTIC MULTIPATH TRAFFIC ASSIGNMENT MODEL WHICH OBVIATES PATH ENUMERATION. IN: THE AUTOMOBILE , 1971 .

[7]  Ryo Kanamori,et al.  Semi-dynamic Combined Equilibrium Model considering Activity choices , 2007 .

[8]  A. Sumalee,et al.  Efficiency and equity comparison of cordon- and area-based road pricing schemes using a trip-chain equilibrium model , 2007 .

[9]  Georgina Santos,et al.  URBAN CONGESTION CHARGING : A SECOND-BEST ALTERNATIVE , 2004 .

[10]  T. Maruyama An Evaluation of Road Pricing Policy Considering both Road and Railway Network Congestion 2002 , 2002 .

[11]  Janusz Supernak,et al.  TEMPORAL UTILITY PROFILES OF ACTIVITIES AND TRAVEL: UNCERTAINTY AND DECISION MAKING , 1992 .

[12]  Anthony D. May,et al.  Effects of alternative road pricing systems on network performance , 2000 .

[13]  William H. K. Lam,et al.  An activity-based time-dependent traffic assignment model , 2001 .

[14]  T. Akamatsu,et al.  Semi-dynamic Traffic Assignment Models with Queue Evolution and Elastic OD Demand , 1998 .

[15]  André de Palma,et al.  Congestion pricing on a road network: A study using the dynamic equilibrium simulator METROPOLIS , 2005 .