Spatiotemporal Evolution Analysis of the Chinese Railway Network Structure Based on Self-Organizing Maps
文献类型：期刊论文
| 作者 | Yin, Lingzhi; Wang, Yafei1 |
| 刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 12期号:4页码:161 |
| 关键词 | Chinese railway network complex network self-organizing maps spatiotemporal clustering trajectory analysis |
| DOI | 10.3390/ijgi12040161 |
| 文献子类 | Article |
| 英文摘要 | Delving into the spatiotemporal evolution of the railway network in different periods can provide guidance and reference for the planning and layout of the railway network. However, most of the existing studies tended to model the railway data separately and compare the network indices of adjacent periods based on the railway data of different periods, thus failing to integrate the railway network in different periods into a unified framework for evolution analysis. Therefore, this paper used the railway data from 2008, 2010, 2015, and 2019, and analyzed the spatiotemporal integration of the railway network evolution based on the complex network theory and the self-organizing maps (SOM) method. Firstly, this study constructed the geographical railway network in the four years and probed into how the network feature indices changed. Then, it used the SOM method to capture the spatiotemporal integration of the railway network evolution in multi-time series. Finally, it clustered the change trajectory of each city node and unveiled the relationship between the evolution of city nodes and the hierarchy of urban systems. The results show that from 2008 to 2019, the railway network feature indices showed an upward trend and that the expansion pattern of the railway network could be divided into the core-peripheral pattern, belt expansion pattern, strings of beads pattern, and multi-center network pattern. The evolution of the change trajectory of the city nodes was highly related to the hierarchical structure of the urban system. This study helps to understand the evolution process of the railway network in China, and provides decision-making reference for improving and optimizing China's railway network. |
| 学科主题 | Computer Science ; Physical Geography ; Remote Sensing |
| WOS关键词 | VULNERABILITY ASSESSMENT ; TIME ; ACCESSIBILITY |
| 语种 | 英语 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193504]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Zhejiang Sci Tech Univ, Sch Comp Sci & Technol, Sch Artificial Intelligence, Hangzhou 310018, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Lingzhi,Wang, Yafei. Spatiotemporal Evolution Analysis of the Chinese Railway Network Structure Based on Self-Organizing Maps[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2023,12(4):161. |
| APA | Yin, Lingzhi,&Wang, Yafei.(2023).Spatiotemporal Evolution Analysis of the Chinese Railway Network Structure Based on Self-Organizing Maps.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,12(4),161. |
| MLA | Yin, Lingzhi,et al."Spatiotemporal Evolution Analysis of the Chinese Railway Network Structure Based on Self-Organizing Maps".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 12.4(2023):161. |
入库方式： OAI收割
来源：地理科学与资源研究所
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