Structural modelling of the influence of background factors in the development of active transportation during the Corona epidemic in Durood City

The Corona epidemic is one of the most important issues in the world today, which has significantly changed urban transportation and highlighted the weaknesses of current transportation methods. This crisis has provided a unique opportunity to redesign urban transportation programs in a more sustainable and resistant way. The main goal of the recent research is to evaluate the impact of contextual factors in the development of active transportation during the Corona epidemic in Durood City. This research is of an applied type and based on the descriptive-analytical method, and with the help of a questionnaire, the researcher investigated the effect of background factors such as age, gender, education, etc. on active transportation during the Corona epidemic. The use of structural equation modelling has been investigated. The statistical population of the research includes 180 residents of Durood City, which was calculated using the required software and with a confidence level of 95%. The analysis of the resulting findings shows that among the factors affecting the development of active transportation during the Corona epidemic, social and health factors with the highest factor load are the most effective factors, and among the background factors affecting the development of active transportation, age is the most influential and Household income had the least influence on the choice of active transportation during the outbreak of the Corona epidemic. The final results indicate that the background factors during the outbreak of this epidemic in Durood City greatly affected the development of active transportation during this period.