Research on cruise pricing strategy based on Forecast

DOI

10.2991/icesame-16.2016.232How to use a DOI?

Keywords

cruise pricing strategy; gray prediction model; predict value

Abstract

Based on the forecast of the cruise pricing strategy. Are first detected by using time sequence, gray prediction, divided into three equation model of the booking number prediction, it is concluded that the predicted results and error analysis. Sequence forecast every voyage each week booking price by time, and the relative error. Then, through the data fitting will reservation number, use the multiple linear regression models to obtain the average price of booking. The concept of reservation restriction, protection level, super sale and so on is introduced, and the maximum expected revenue model is established [1].

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiaying Chen
PY  - 2016/03
DA  - 2016/03
TI  - Research on cruise pricing strategy based on Forecast
BT  - Proceedings of the 2016 International Conference on Education, Sports, Arts and Management Engineering
PB  - Atlantis Press
SP  - 1074
EP  - 1077
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-16.2016.232
DO  - 10.2991/icesame-16.2016.232
ID  - Chen2016/03
ER  -