Increase in supply by extending urban road network had been considered as a solution for traffic problems, this supply increase was itself a stimulus to encourage people to use private traort, and on the other hand, the existing space in cities will not be enough to increase supply as much. So nowadays, decreasing the demand for using private traort together with executing restrictive policies is considered as the best solution. Using private traort imposes costs on city citizens whether using public or private traort. Applying charging policies for traortation in CBD could be a cause to decrease using passenger cars in streets with heavy traffic. Receiving charges from passenger cars for entering a limited traffic area causes change in drivers' behavior when entering a limited traffic zone. As a result, the portion of different vehicles moving toward city centers will change. In order to survey the results of executing these policies before applying them in the city of Isfahan that has many traffic problems in CBD, a model is needed to display users' behavior from the perspective of mode choice while different charging values are received. In this regard, mode choice model was made by the stated preference method using information gathered by interviewing with 1076 persons who entered CBD by passenger cars. In this study mode choice models were made for two categories of necessary and unnecessary trips in CBD, by assuming that charging policies are being applied. The results of these models indicate that people have tendency to use their own car when making necessary trips if charging policies are applied. By the charging cost of 40000 Rials, 61 and 71 percent of people would prefer to use other traortation modes rather than private vehicle respectively in necessary and unnecessary trips and mostly tend to use bus or taxi. Models used in this study are binary, multinomial and nested logit which are ran by Nlogit software. Keywords: Mode choice model, charging policies, stated preference method, logit model