Analyzing Urban Travel Behavior Components in Tehran, Iran

This research is an attempt to explore the nature and characteristics of urban travel behavior in metropolitan area Iranian capital, Tehran. To this end, using perspectives 822 participants via a questionnaire survey, we assessed six major Travel Behavior Components (TBCs)—namely, mode, time, destination, frequency, choice, purpose—from lens five different sociodemographic characteristics—that is, gender, age, family structure, educational occupational groups. Using SPSS-26, MAXQDA, Structural Equation Model (SEM) AMOS software, analyzed priorities preferences related TBCs across social groups explored impact on Tehran area. The results indicate that firstly, tendency by private transport has highest share among all compared with other modes travel. Secondly, identified four challenges affecting Tehran: lacking diverse options for traveling, old vehicles infrastructure, traffic congestion, unequal access facilities city. Finally, found have relatively strong significant TBCs. study highlights role transformations gives more insights into residents. Such would be effective city policymakers planners enhance quality transportation.