This chapter discusses new developments and potential analytic approaches to travel demand modeling using behavioral big data, with the ultimate goal of generating customer-based knowledge through tourists’ feedback and information traces. The first section introduces the concept of generating big data in travel demand, by describing the different customer-based data that can be obtained from explicit and implicit tourists’ feedback. The second section looks at empirical problems that one finds when examining travel demand through big data, the third section presents several research avenues that can be opened and the fourth section provides some closing thoughts.
CITATION STYLE
Nicolau, J. L. (2017). Travel Demand Modeling with Behavioral Data. In Tourism on the Verge (Vol. Part F1056, pp. 31–43). Springer Nature. https://doi.org/10.1007/978-3-319-44263-1_3
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