The Application of Growth Theory in Explaining theSubjective Optimal Pattern of Urban Travel Demand (Case Study: Kerman City)

The transportation needs of people living in urban areas, such as commuting to work, running errands, attending events, and traveling for leisure, are referred to as urban travel and travel demand. To provide effective and sustainable transportation options, it is crucial for transportation planning and infrastructure development in cities to comprehend travel demand patterns. Therefore, the current article is working toward its primary objective, which is to provide an ideal mental model of the demand for urban travel based on the growth theory of Strauss and Corbin, the coding process, and quantitative and qualitative analysis in the city of Kerman. In Kerman city, the most frequent origin-destination trips are for leisure and personal work (104522 trips within 11 traffic zones), education (47394 visits), business (37695 trips), continuous operations (19,188 trips), and shopping (15256). Due to their numerous tourist attractions, the streets of Dr. Shariati in Zone 2, which span 295 minutes, and Shahid Rajaee in Zone 1, which span 225 minutes, experience heavy traffic. Accordingly, "15-17 and 21-19" are the most relaxed times, while "9-7, 11-9, 11-13, 15-13, and 19-17" are the busiest. The demand for inner-city travel in Kerman is directly correlated with the best behavioral, belief, value, and need patterns that have a big influence on urban travel objectives. One desirable model for urban transportation planning, including public transportation use, is the ideal mental pattern of inner-city travel demand.