Today, due to the increasing use of personal car and traffic problems in metropolitan cities, attention and application of demand management policies has expanded. One of these policies, which has been implemented in some cities around the world and has had favorable results in reducing traffic volume, is pricing policy. This policy is like a hypothetical belt around the target area, and those who intend to enter this area with a private car should pay a fee. In this research, the effect of this policy on the citizens' behavior pattern in the central region of Isfahan is studied using activity-based models. activity-based models are more capable of examining demand management policies than travel-based models, but in many cases, the use of travel-based models is prioritized. The data used in this study is based on information obtained from citizens interviews in 1394. In this interview, in addition to personal information and travel of people about the application of the cordon pricing policy , questions have also been raised. The modeling is divided into two parts. In the first section, based on the Revealed Preference method, models of activity patterns of individuals and the choice of the time of commencement of travel and the choice of the tool are revealed, and in the second part based on the Stated Preference method, the models related to the effect of pricing policy on destination change, travel time change, license purchase, and Changing the way of traveling from a personal car into three alternatives is being made. In the results extracted from these modeling, how people's behavior patterns include destination change, travel time change, license purchase, or change of equipment based on age, gender, occupation, education, financial welfare level,cordon price and how people interact with The range (living in the range, working in the range, etc.) is determined. These results indicate what factors play a role in choosing any of the options when applying the pricing policy. Of the approximately 42% of people traveling by private car, 20% travel at non-scheduled times and 11% start changing their travel destination or start time when starting a pricing plan, so the remaining 11% will be included to the plan pricing is limited. The range of referreds to the range before applying the plan to start the journey is 13-16. These people are more likely to change their destination when confronted with pricing policies. Residents are reluctant to change travel time or non-motorized method, and out of range employees, those who have a dealer job do not buy licensed and have a tendency to change the way to non-motorized ones, while employees or teachers tend to use the public method