| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 4 | |
| Section | Community Upgrading and Urban Development Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202451201006 | |
| Published online | 10 April 2024 | |
Research on Big Data and Urban Agglomeration Development in High-Speed Railway
1 Chongqing Preschool Education College, Academic Affairs Office, 404047 Wanzhou Chongqing, China
2 Chongqing Preschool Education College, Budget & Finance Office, 404047 Wanzhou Chongqing, China
3 Aba Teachers’ University, Computer Science and Technology College, 623002 Aba Sichuan, China
* Corresponding author: lia_zkl@foxmail.com
The introduction of high-speed railway has significantly enhanced transportation services for cities along its route, offering greater convenience to passengers and commuters. Through analysis of passenger flow data and economic data from cities along the high-speed railway line, we find the apparent siphon effect caused by the introduction of high-speed railway on larger cities. However, for medium and small cities, high-speed railway further weakens their attractiveness, leading to capital and labour outflow. This article provides an analysis of the impact of high-speed railway on cities along its route, utilizing passenger big data and investment data. It also offers recommendations for small and medium-sized cities to optimize their tourism resources and develop unique industries, aiming to mitigate the economic risks associated with the introduction of high-speed railway.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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