The quality of pedestrian access in urban areas as one of the main pillars in the theory of Transit-Oriented Development (TOD), affects the ability and motivation of individuals to use public transportation. The evaluation of pedestrian access to public transport station centers has considered as the main goal of this research. A set of pedestrian access parameters for public transportation, including walking distance, number of transit stations, transport penetration, parking, connectivity, and transport modes have been reviewed. In addition, using self-organized neural network (SOM) technique, clustering and then analyzing the quality level of each cluster based on the characteristics of each parameter has discussed. In order to evaluate the results, studies on zone 6 of Tehran have been implemented. The results show that about 37% of the area is at the best pedestrian access level, 35% at good level, 26% in moderate level and only 2% in weak level.