The Factor Drive People Buy Travel Insurance

DOI

10.2991/978-94-6463-198-2_25How to use a DOI?

Keywords

Insurance; non-potential factors; regression

Abstract

In the century of the rise of the travel industry, many related industries are also on the rise, and the insurance industry is one of them. The analysis of tourists or customers to predict or determine whether they will buy insurance is the general context of this paper. Predictions can be found everywhere in life. This article focuses on travel insurance forecasting. Eight non-potential factors are used as independent variables to examine the influence on whether to purchase travel insurance. The paper starts with comparative analysis, factor analysis, and logistic regression for analysis as well as prediction. It was found that there was a relatively high positive correlation between whether a traveler purchased travel insurance and the traveler's historical flight factors. Whether or not the traveler had flown abroad was also a significant influencing factor.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yuqing Dai
PY  - 2023
DA  - 2023/08/10
TI  - The Factor Drive People Buy Travel Insurance
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 217
EP  - 227
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_25
DO  - 10.2991/978-94-6463-198-2_25
ID  - Dai2023
ER  -