Modeling Tourists' Departure Time considering the Influence of Multisource Traffic Information

Shijun Yu, Siyuan Zhang, Shejun Deng, Tao Ji, Peng Zhou, Lang Peng, Jinjun Tang
2021 Journal of Advanced Transportation  
The development of tourism brings economic benefits as well as additional pressure on the urban traffic system. For example, the travel time of tourists coincides with the rush hour of urban residents' daily commuting. Limited urban traffic resources cannot meet the travel needs of tourists and urban residents at the same time, resulting in traffic congestion and low travel efficiency. Now, with the development of intelligent technology, tourists can obtain real-time information about
more » ... tion systems through various channels and adjust their travel behavior accordingly. This study shows tourists' travel behavior based on a survey conducted to the tourists in Yangzhou city. 1500-interview data are analyzed, and a Multinomial Logit Model (MNL) was employed to establish the probability prediction model of tourists' departure time choice. The results presented that sync traffic information and some other tourism-related factors determine the choice of tourists' departure time. These factors distinguish the travel behavior of tourists from the daily travel behavior of urban residents. This study can provide suggestions for the urban tourism management department to formulate more targeted and efficient policies while creating a more comfortable tourism environment for tourists.
doi:10.1155/2021/1422381 fatcat:x5eihjymnjdxzhzzu6xwuc7xjq