Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)

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Combating Illegal Wildlife Trade through Big Data Monitoring and Management

Authors
Wenzhuo Wang1, *, Jianing He1, Shuo Liu2
1School of Computer Science and Technology, Jinan University, Guangzhou, China
2School of Management, Jinan University, Guangzhou, China
*Corresponding author. Email: wenzhuow46@gmail.com
Corresponding Author
Wenzhuo Wang
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-490-7_16How to use a DOI?
Keywords
Illegal wildlife trade; big data monitoring; management; PRI-AHP model; economic analysis; system dynamics modeling
Abstract

Illegal wildlife trade is a persistent global issue that threatens biodiversity and ecological stability. Addressing this challenge requires innovative approaches, including leveraging big data for management solutions. This paper conducts a comprehensive evaluation and analysis of a management project aimed at combating illegal wildlife trade, with a focus on utilizing big data technology. Through the PRI-AHP model, economic analysis tools, and system dynamics modeling, the study identifies TRAFFIC as the optimal project management client, assesses financial feasibility and risk and predicts positive impacts on illegal trade activities, law enforcement, and monitoring system efficiency. This research provides valuable insights for decision-makers and emphasizes the potential of big data in wildlife conservation projects.

Copyright
© 2024 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 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 August 2024
ISBN
978-94-6463-490-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-490-7_16How to use a DOI?
Copyright
© 2024 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  - Wenzhuo Wang
AU  - Jianing He
AU  - Shuo Liu
PY  - 2024
DA  - 2024/08/31
TI  - Combating Illegal Wildlife Trade through Big Data Monitoring and Management
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 138
EP  - 148
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_16
DO  - 10.2991/978-94-6463-490-7_16
ID  - Wang2024
ER  -