In the first part, I shall explain whether it is possible to predict
travel behavioural consumption from psychology view and computer
statistic view. Second, I shall indicate what factors can influence
travel behavioural consumption, such as climate changing, renting travel
car tools choice, the country's risk and safety.
In the second part, I shall general investigating methods to predict
travel behavioural consumption, such as qualitative of travel
behavioural method, advanced traveler information systems (ATIS) method,
online tourism sale channel method, actively based patterns of urban
population of travel behavioural prediction method, trip based versus
activity based approaches of method. In the second part, I shall explain
why the future travel age target will be the senior age group and I
shall indicate how to use psychological method to predict travel
behavioral consumption.
The final part researchs how airport management influences passengers
consumption behavior. Nowadays, travellers enjoy to go to different
countries to travel. In consumer psychological view, instead of the
travelling agents' travelling e-ticket cheap and fast seats online
booking service or walk in travelling travel agents travelling paper
ticket purchase or attractive trip arrangement service to attract
travelling consumers' choice.
