Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

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Tourist Behavior-based Early Warning Scheme for Wisdom Tourisms

Authors
Jinghe Zhang1, 2, *, Qianwei Chen2, Xiaowei Wu2, Yue Hu2, Weidong Fang3
1BUAA EMC Technology Institute, Beihang University, Beijing, 100083, P. R. China
2Beihang Beidou Application Research Institute of Jinhua, Jinhua, 321037, P. R. China
3Science and Technology on Micro-system Laboratory, Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences, Shanghai, 200051, P. R. China
*Corresponding author. Email: 1661395998@qq.com
Corresponding Author
Jinghe Zhang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_3How to use a DOI?
Keywords
Tourist Behavior; Early Warning; Wisdom Tourisms
Abstract

In this paper, we propose a warning scheme for behavior early warning in scenic spots. In the scheme, it determines whether to send an alarm reminder based on the current location of the visitor’s mobile terminal. The warning scheme includes obtaining the warning location information based on preset dangerous location data, as well as obtaining the current location information of the visitor at a preset time interval, and setting the current location of the visitor. The location information is compared with the warning location information, and if the comparison results are consistent, a virtual alarm operation is triggered. By comparing the current location of the tourist with the warning location information, it is determined whether the virtual warning operation is triggered, so that tourists can obtain real-time warning information in the scenic spot, for reducing the probability of uncivilized or dangerous behaviors in the scenic spot, improving the warning operation, and making sure that it is safe and civilized to travel in the end.

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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Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
978-94-6463-058-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_3How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Jinghe Zhang
AU  - Qianwei Chen
AU  - Xiaowei Wu
AU  - Yue Hu
AU  - Weidong Fang
PY  - 2022
DA  - 2022/12/27
TI  - Tourist Behavior-based Early Warning Scheme for Wisdom Tourisms
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 11
EP  - 17
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_3
DO  - 10.2991/978-94-6463-058-9_3
ID  - Zhang2022
ER  -