Research on Big Data and Urban Agglomeration Development in High-Speed Railway

Abstract

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.