Analyzing the articulation mechanism of urban multi-modal transportation network and mastering the operation of the road network to meet the travel demand of tourists between different scenic spots within the city. Firstly, the hypernetwork theory is used to construct a super network model of urban multi-modal transportation system. Secondly, considering that the main factor affecting travelers’ route selection is time volatility, and based on this, the evaluation index system of the road network operation status is improved, and the improved index system considers the influence of unblocked reliability on route selection. Subsequently, the frequency of occurrence of different road network traffic states is transformed into the state transfer probability of the Markov decision process, and a minimum generalized cost travel decision model considering tourists’ economic, time, and comfort costs is developed, and an algorithm was designed to solve the frequency of different road network traffic states is transformed into the state transition probability of Markov decision process, and the minimum generalized cost travel decision model considering tourist economic cost, time cost and comfort cost is established, and the algorithm is designed to solve it. Finally, the road network between scenic spots in Yanta District of Xi’an is taken as an example to verify the validity of the model. The results of the study show that there are differences in the travel modes or routes chosen by tourists of different ages under different road network traffic states, proving the validity of the model.