Passenger Information Demand Preference under Comprehensive Transportation Hub Operational Fault based on CBT+ERG Theory
This study aims to explore passengers'preferences for travel-related information and its impact on behavioral choices under comprehensive transportation hub operational fault.To address the limitations of existing research regarding the quantification of demand-association levels using scale-type choice sets,this study combines CBT and ERG theory,multinomial ordered Logit models,unordered Logit models and a passenger travel behavior selection model are constructed.The findings indicate that under comprehensive transportation hub operational fault,passengers are most concerned with the specific location of the disruption,the extent of the affected area,surrounding road conditions,details of vehicle rescheduling,and the severity of the incident.The student groups exhibit higher demands for various types of information.Travel duration is identified as the primary factor influencing passenger decision-making,whereas information related to vehicle scheduling has a relatively minor impact.The results of this study provide insights for urban traffic information management and personalized information services,as well as scientific foundations for effective crowd evacuation strategies during operational fault at comprehensive transportation hubs.
comprehensive transportation huboperational faultinformation demandbehavior choiceLogit model
万方数据
维普
