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This study introduces bootstrap aggregation (bagging) in modeling and forecasting tourism demand. The aim is to improve the forecast accuracy of predictive regressions while considering fully automated variable selection processes which are particularly useful in industry applications. The...

Athanasopoulos, G.; Song HaiYan; Sun, J. A.
Sage Publications, Thousand Oaks, USA
Journal of Travel Research, 2018, 57, 1, pp 52-68
Full TextCABI Book Chapter Info
Cover for Generation Y: perspectives of quality in youth adventure travel experiences in an Australian backpacker context.

This chapter examines the importance of quality to Gen-Y youth adventure travellers and backpackers in Australia. Fourteen youth adventure travellers participated in focus groups, another 16 travellers participated in interviews and 8 youth adventure travellers completed travel diaries. The youth...

Jennings, G.; Cater, C.; Lee YoungSook; Ollenburg, C.; Ayling, A.; Lunny, B.
2009 CABI (H ISBN 9781845936013)
Book chapter

The forecasting of international tourist arrivals is normally done on a per country basis. The volume of tourist flow varies widely among countries, largely depending on their population size but also on their openness to tourism. This paper uses data for Austria, China (PRC), Canada, the Cook...

Vu, J. C.
IP Publishing Limited, London, UK
Tourism Economics, 2006, 12, 2, pp 263-276