Dependency of life quality improvement to the traortation, has been driver of huge investments in traortation part in many countries in last fifty years. In this respect, traortation comprehensive planning studies has prepared suitable context in reaching the ideal system. Knowledge of demand scale and effective elements in aggregate and disaggregate levels is among significant parts of these studies. Without access to this kind of information, these studies will face difficulties in selection of project type and its site. But one of the criticisms is that aggregate data limit our understanding of individual travel behavior caused by the changes of traortation services. As a result, disaggregate travel demand models based on the data collected at the household level and/or at the individual level were developed. In this thesis is attempted to evaluate traortation behavior of Isfahan metropolis settlers as much as possible. For this purpose, disaggregate models are used and our focus is on discrete choice models. And whereas data bank of traortation comprehensive studies for Isfahan metropolis limit, contained many socio-economic data in relation to more than 110,000 individuals from this limit settlers, models were made and then were estimated in individual/household behavior level. Whereas the number of trips that one person generates in one day, the destination that during trip enters to it and the trip mode that selects in trip process, all are person’s choices. Then it was tried to use statistical choice models in making disaggregate models. These models make possible the probability selection of traortation alternatives by their random utility function. Hence, ordered logit, multinomial logit and nested logit models were used to make trip generation, trip destination, and mode choice models respectively. Finally, some of parameters that determine direction and amount of socio-economic variables' effect in traortation behavior of Isfahan metropolis settlers are estimated. It should be Noticed that direction and influence of parameters can be adequate in these limit traortation policies. Key words Disaggregate models, trip generation, trip destination choice, trip mode choice
