A robustness assessment with passenger flow data of high-speed rail network in China
文献类型:期刊论文
作者 | Hu, Xinlei2; Huang, Jie1; Shi, Feng2 |
刊名 | CHAOS SOLITONS & FRACTALS
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出版日期 | 2022-12-01 |
卷号 | 165页码:13 |
关键词 | High -speed -rail network Robustness Network expansion Passenger flow Simulation |
ISSN号 | 0960-0779 |
DOI | 10.1016/j.chaos.2022.112792 |
通讯作者 | Huang, Jie(huangjie@igsnrr.ac.cn) |
英文摘要 | Many existing studies on the robustness assessment of high-speed rail (HSR) networks use HSR services derived from timetable data as an alternative indicator of actual passenger flow. This alternative method has inherent limitations because of the various capacities and seat allocations among different HSR services operated between the same station pairs, leading to a biased evaluation of network robustness. Using an actual ticket sales dataset and HSR timetable data, this study integrates passenger volume into the robustness evaluation of China's HSR network. Moreover, this study proposes systematic methods to assess the robustness of HSR networks at the station and large-scale network levels, with procedure indicators. We design random failure and target attack simulation scenarios in un-weighted, travel-time-weighted, and flow-weighted networks. Simulation is con-ducted from 2014 to 2016, and with a medium-and long-term HSR network plan in China. Using the method-ological advances and empirical studies, we find that China's HSR network became less robust first, and then enhanced robustness strength during network expansion. The significance of integrating passenger flow data in the robustness assessment is confirmed, as the same attack strategy may affect the total travel time and the number of passengers delivered differently. In addition, the proposed indicators are useful for capturing the procedure failure of HSR networks and critical stations. |
WOS关键词 | VULNERABILITY ANALYSIS ; CAPACITY-REDUCTION ; URBAN SYSTEMS ; ROAD NETWORK ; IMPACTS ; ACCESSIBILITY ; TOPOLOGY ; LINKS ; TIME |
资助项目 | National Natural Science Foundation of China ; Youth Inno- vation Promotion Association of Chinese Academy of Sciences ; Institute of Computing Technol- ogy of China Academy of Railway Sciences Corporation Limited ; [72171236] ; [2021049] |
WOS研究方向 | Mathematics ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000874674500004 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
资助机构 | National Natural Science Foundation of China ; Youth Inno- vation Promotion Association of Chinese Academy of Sciences ; Institute of Computing Technol- ogy of China Academy of Railway Sciences Corporation Limited |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/186421] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Huang, Jie |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing, Peoples R China 2.Cent South Univ, Sch Traff & Transportat Engn, Changsha, Peoples R China |
推荐引用方式 GB/T 7714 | Hu, Xinlei,Huang, Jie,Shi, Feng. A robustness assessment with passenger flow data of high-speed rail network in China[J]. CHAOS SOLITONS & FRACTALS,2022,165:13. |
APA | Hu, Xinlei,Huang, Jie,&Shi, Feng.(2022).A robustness assessment with passenger flow data of high-speed rail network in China.CHAOS SOLITONS & FRACTALS,165,13. |
MLA | Hu, Xinlei,et al."A robustness assessment with passenger flow data of high-speed rail network in China".CHAOS SOLITONS & FRACTALS 165(2022):13. |
入库方式: OAI收割
来源:地理科学与资源研究所
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