A Dynamics Research on the Israeli-Palestinian Conflict and Global Refugee Trends from an International Humanitarian Crisis Perspective
- DOI
- 10.2991/978-2-38476-323-8_73How to use a DOI?
- Keywords
- Israel-Palestine conflict; international refugees; Python; Power BI
- Abstract
Amid the current international focus on the Israel-Palestine conflict, there is increasing attention on humanitarian crises research worldwide. This paper visualizes casualty data from the Israel-Palestine conflict since its outbreak in 2023, alongside yearly global refugee numbers from 1951 to 2023, revealing trends in the global refugee crisis and its driving factors. The research data comes from the United Nations High Commissioner for Refugees (UNHCR) and official Palestinian datasets. Using Python and Power BI, the analysis dynamically visualizes data from the Gaza region and global refugee data. The results indicate that factors such as war, natural disasters, and domestic conflicts are primary drivers of refugee number changes, while international policies and assistance measures significantly influence refugee flows.
- 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
TY - CONF AU - Taoxuan Huang AU - Charles Chen PY - 2024 DA - 2024/12/23 TI - A Dynamics Research on the Israeli-Palestinian Conflict and Global Refugee Trends from an International Humanitarian Crisis Perspective BT - Proceedings of the 2024 7th International Conference on Humanities Education and Social Sciences (ICHESS 2024) PB - Atlantis Press SP - 630 EP - 641 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-323-8_73 DO - 10.2991/978-2-38476-323-8_73 ID - Huang2024 ER -