Measuring the Key Factors on Satisfaction Level of Residence in Neighborhoods Adjacent to Metro Stations

Metro is an efficient public transportation mode. Although it would decrease overall on-ground traffic levels, it may locally have adverse effects both in terms of local traffic, as well as social relations within the neighborhoods adjacent to the stations. As a consequence, residential satisfaction in neighborhoods might be threatened. Social problems including social transformation such as presence of non-locals in the neighborhoods, creates a sense of insecurity. Problems in terms of traffic includes increase in local traffic and disruption of environmental pleasantness, increase in noise pollution and on street parking as well as reduction of safety in neighborhoods. These in turn have negatively affected residential satisfaction levels in neighborhoods adjacent to metro stations. The aim of this article is to review the effective factors on satisfaction of residents in neighborhoods after launching metro stations, including personal characteristics of metro users (gender, age, education…) and indices of social and traffic conditions to provide a predictive model to measure the satisfaction level of local residence. For this purpose, field data were collected and analyzed, using questionnaire techniques. In this study, two major metro stations, Sharif University and Science and Technology University were selected and 160 residents of adjacent neighborhoods responded to a structured questionnaire. The results of this model show that gender and age indices among personal characteristics and transformation in socio-physical indices due to launching metro stations have affected residential satisfaction levels within the surveyed neighborhoods. Therefore, personal characteristics and physical as well as social characteristics of neighborhoods are significant indices that should be considered in measuring residential satisfaction levels.