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.