中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1016/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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