Impact of high-speed rail on spatio-temporal evolution of tourism interaction and structure of cities

Abstract This study investigates the impact of high-speed rail (HSR) on the evolution of tourism spatial interaction (TSI) and tourism spatial structure (TSS) of cities. First, a model is proposed to describe the TSI between cities and analyze its evolutionary characteristics. Then, the degree and betweenness centrality of cities in the tourism network structure are developed to reveal the evolution of TSS. Furthermore, the self-organizing mapping (SOM) algorithm is utilized to clarify the evolution of cities’ role in the tourism structure. Using China as a case study, the findings indicate an overall increase in TSI from 2007 to 2019, driven by HSR expansion. Additionally, HSR can exert a more significant impact on the tourism of the cities located in the central, eastern, and northern regions of China than in other regions. The functional position of cities in TSS is also identified, which can provide decision support for the planning of cities’ tourism development.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2025-10-28
DOI
https://doi.org/10.1057/s41599-025-06008-y
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of high-speed rail on spatio-temporal evolution of tourism interaction and structure of cities

Yuting Chai, Wei Wei, Tao Li
Humanities and Social Sciences Communications
Aviation Industry Analysis and Trends
article

Impact of high-speed rail on spatio-temporal evolution of tourism interaction and structure of cities

Yuting Chai, Wei Wei, Tao Li
article en

Abstract

Abstract This study investigates the impact of high-speed rail (HSR) on the evolution of tourism spatial interaction (TSI) and tourism spatial structure (TSS) of cities. First, a model is proposed to describe the TSI between cities and analyze its evolutionary characteristics. Then, the degree and betweenness centrality of cities in the tourism network structure are developed to reveal the evolution of TSS. Furthermore, the self-organizing mapping (SOM) algorithm is utilized to clarify the evolution of cities’ role in the tourism structure. Using China as a case study, the findings indicate an overall increase in TSI from 2007 to 2019, driven by HSR expansion. Additionally, HSR can exert a more significant impact on the tourism of the cities located in the central, eastern, and northern regions of China than in other regions. The functional position of cities in TSS is also identified, which can provide decision support for the planning of cities’ tourism development.

Humanities and Social Sciences CommunicationsVol. 12(1)
Zhengzhou University (CN)
National Natural Science Foundation of China, National Office for Philosophy and Social Sciences
Openalex Percentile: Top 51%
Aviation Industry Analysis and Trends
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Impact of high-speed rail on spatio-temporal evolution of tourism interaction and structure of cities — Yuting Chai, Wei Wei, et al. · Humanities and Social Sciences Communications (2025) | TGRS Research Map | TGRS