During the past century, decline of pedestrian share in the transportation system has led to ever increasing congestion, pollutions, insecurity, and lack of vitality in neighborhoods at city centers and beyond. In recent years, however, attempts are also made to regenerate those areas through a pedestraianization effort in order to preserve or redirect the neighborhoods toward sustainability. Cities are expected to move toward more dependency on pedestrian movement in order to reduce fossil energy consumption, improve physical and mental health of people, heighten the level of inter-personal relations between citizens, and improve the social and cultural quality of urban living. The aim of this article is to identify those factors and indices which affect pedestrian movement. Here, the District 6 of Tehran Municipality is used as a case study. Factor Analysis is used to develop ten indices from a set of seemingly unrelated variables in order to measure the walkability potential in residential and mixed neighborhoods. This set of indices was then classified to measure the level of walkability in the study area. This made it possible to identify ten criteria influencing the pedestrian movement such as safety, pleasantness/attractiveness and amenity, Transportation/mobility, accessibility, connectivity/transit, link between land uses and transportation, sustainability of environment/vitality, security, education/public health, and local socio-cultural behavior. The objective is to test the effect of those factors upon walkability. Geographic Information Systems (GIS) is also utilized to create thematic maps from those criteria and, through overlays, produce maps which show the various levels of walkability along certain streets. The kriging method within the GIS environment helped in data interpolation in order to obtain a continuous layer made of discontinuous sample points. Based on this technique, the weight of each question influencing each variable was extracted. Thus, preparing layers of information from sample locations in the form of maps and allocation of the estimated value of the variables as descriptive information to geographic data were the main tasks performed in GIS. Location maps were created for all the indices and main physical and cultural parameters influencing walkability. Again, using PCA, the weight and importance of these layers on the physical and socio-cultural parameters were estimated. Next, through Nap Overlay Technique, two cultural and physical layers were obtained. This process was separately repeated for residential and mixed land use, and a final layer of walkability potential for each was prepared. 149 pedestrians were surveyed between 8 to 10 pm in neighborhood in four streets of Enghelab, Vesal, Boulevard Keshavarz, and Felestin. The survey concentrated on views of the respondents as pedestrians toward the street condition regarding walkability. Here, the two main parameters which are associated with walkability are identified as physical and socio-cultural. The walkability maps, however, indicate that the significance of association is not uniform across different land uses. Rather, in the residential areas, physical factors have greater influence on walkability while in the mixed areas; the socio-cultural factors play the more important role. The results also show that the walkability potential in four main streets in the study area is also correlated with the environmental situation and the time spent for walking.