{"title":"Spatial-temporal characteristics of China’s high-speed rail transport network","authors":"Jiayun Sun, Qipeng Sun","doi":"10.1117/12.2658264","DOIUrl":null,"url":null,"abstract":"\"Medium and Long Term Railway Network Planning\" describes the grand blueprint of \"eight vertical and eight horizontal\" high-speed railway network, marking that China has officially entered the heyday of high-speed railway construction. At present, China is in a leading position in the development of high-speed railway in the world. This research selects China’s high-speed railway transport network from 2014 to 2020 as the research object, high-speed railway stations as network nodes, the ratio of passenger flow to running time as the edge weight, and builds a weighted undirected network diagram. Gephi is used to visualize the high-speed railway transport network. Finally, the spatio-temporal variation rules of China’s high-speed railway transport network are explored from two aspects of nodes and the whole network. It is found that the difference of different node degrees will gradually change from large in the early stage to small in 2020. Small world features are becoming more and more prominent, and network performance is improving. China’s high-speed rail network was initially developed mainly in the economically developed central and eastern regions, but has gradually shifted to the western region since 2017. China’s high-speed rail transport network has shifted from economically developed, densely populated areas to underdeveloped, sparsely populated areas with transportation demands.","PeriodicalId":212840,"journal":{"name":"Conference on Smart Transportation and City Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Smart Transportation and City Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2658264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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摘要

《中长期铁路网规划》描绘了“八纵八横”高速铁路网的宏伟蓝图,标志着中国正式进入高速铁路建设的全盛时期。目前,中国高速铁路的发展在世界上处于领先地位。本研究以2014 - 2020年中国高速铁路运输网为研究对象,以高铁站为网络节点,以客流量与运行时间之比为边权,构建加权无向网络图。Gephi用于高速铁路运输网络的可视化。最后,从节点和全网两个方面探讨了中国高速铁路运输网的时空变化规律。研究发现,不同节点度的差异在2020年将由前期较大逐渐减小。小世界特征越来越突出,网络性能不断提高。中国高铁网络最初主要在经济发达的中东部地区发展,但自2017年以来逐步向西部地区转移。中国的高铁运输网络已经从经济发达、人口密集的地区转移到有交通需求的欠发达、人口稀少的地区。
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Spatial-temporal characteristics of China’s high-speed rail transport network
"Medium and Long Term Railway Network Planning" describes the grand blueprint of "eight vertical and eight horizontal" high-speed railway network, marking that China has officially entered the heyday of high-speed railway construction. At present, China is in a leading position in the development of high-speed railway in the world. This research selects China’s high-speed railway transport network from 2014 to 2020 as the research object, high-speed railway stations as network nodes, the ratio of passenger flow to running time as the edge weight, and builds a weighted undirected network diagram. Gephi is used to visualize the high-speed railway transport network. Finally, the spatio-temporal variation rules of China’s high-speed railway transport network are explored from two aspects of nodes and the whole network. It is found that the difference of different node degrees will gradually change from large in the early stage to small in 2020. Small world features are becoming more and more prominent, and network performance is improving. China’s high-speed rail network was initially developed mainly in the economically developed central and eastern regions, but has gradually shifted to the western region since 2017. China’s high-speed rail transport network has shifted from economically developed, densely populated areas to underdeveloped, sparsely populated areas with transportation demands.
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