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One important function of Intelligent Transportation System (ITS) applied in tourist cities is to improve visitors’ mobility by releasing real-time transportation information and then shifting tourists from individual vehicles to intelligent public transit. The objective of this research is to quantify visitors’ psychological and behavioral responses to tourism-related ITS. Designed with a Mixed Ranked Logit Model (MRLM) with random coefficients that was capable of evaluating potential effects from information uncertainty and other relevant factors on tourists’ transport choices, an on-site and a subsequent web-based stated preference survey were conducted in a representative tourist city (Chengde, China). Simulated maximum-likelihood procedure was used to estimate random coefficients. Results indicate that tourists generally perceive longer travel time and longer wait time if real-time information is not available. ITS information is able to reduce tourists’ perceived uncertainty and stimulating transport modal shifts. This novel MRLM contributes a new derivation model to logit model family and for the first time proposes an applicable methodology to assess useful features of ITS for tourists.

The aim of this study is to investigate the impact of the bus stop near the signalized intersection on the traffic flow from two aspects, traffic volume and delay. A modified Optimal Velocity model is established to analyze the dynamic traffic flow near a signalized intersection with curbside bus stops, and two cases including bus stops placed upstream and downstream the intersection are simulated to compare the impacts. The influencing factors, including the entering probability and the distance between a bus stop and its neighboring signalized intersection, are considered in this study. The simulation results indicate that the impact of the bus stop on the traffic flow is significant when entering probability is above the critical value, and gradually disappears as the distance increases. With respect to the volume, the downstream bus stop is greatly superior to the upstream one when the distance is less than 70 m, and slightly inferior to the upstream one when the distance ranges from 70 m to 200 m. With regard to the vehicle delay, the upstream bus stop is better than the downstream one. We hope these findings will be helpful to offer scientific guidance for the public transport planning and management.