Measuring and evaluating the quality of urban trips and compiling optimal mental travel patterns (case study: Kerman city)

Planning optimal urban travel patterns includes analyzing data on current and future trends in transportation demand, 

 it has an inductive strategy; In terms of the nature of the data, it is of the type of mixed research (qualitative-quantitative) and of the type of data theory, the foundation is based on the Strauss and Corbin model.

They have allocated time. In the case of business trips, most of these trips are made from region 1 to 3.

the largest number of educational trips are made from region 2 to regions 5, 8 to 3, 1 to 3, and 3 to 9. Regarding the trips made with the purpose of shopping, the largest number of these trips are attracted to the 1st and 5th regions as the market region. Based on all the quantitative and qualitative analyzes made regarding the inner-city travel of Kerman and the findings obtained from the vegetative theory in the form of MaxQDA software, it can be said; There is a direct relationship between the demand for intra-city travel in Kerman and optimal patterns of behavior, beliefs, values and needs that have a significant impact on the goals of intra-city travel, and the optimal mental pattern of intra-city travel demand can be used as a desirable model in transportation planning. A city will be used that will include the use of public transportation