A spatiotemporal analysis of the robustness of high -speed rail network in China
A spatiotemporal analysis of the robustness of high -speed rail network in China
复制标题
中国高铁网络稳健性时空分析
DOI：
10.1016/j.trd.2020.102584
复制
发表时间：
2020-12-01
影响因子：
7.6
通讯作者：
Liu, Jian
中科院分区：
文献类型：
--
作者：
Jiao, Jingjuan;Zhang, Fangni;Liu, Jian
大多数关于高速铁路（HSR）网络鲁棒性的研究都是在总体水平上研究这个问题，并考虑固定的时间段（例如，一天或一个月），而不管中断发生在何时何地。本研究提出一个整体性的架构，评估高铁网络节点连锁中断的影响，考虑不同的影响时间的一天和地理区域。提出了一种加权网络效率指标来评估网络性能，同时考虑沿着拓扑最短路径的旅行时间和列车频率。对中国高铁的分析发现：（1）网络对华东地区或哈港走廊沿着发生的中断的鲁棒性较差;（2）10：00-15：00期间的中断影响最大;（3）二零二零年一月至二月COVID-19爆发期间的封城导致整体网络效率下降14. 5%。研究结果对高铁网络的进一步发展产生了深刻的见解，并为提高高铁效率的战略提供了政策支持。
Most studies on the robustness of high-speed rail (HSR) network examine the issue at the aggregate level and consider a fixed period (e.g., a day or a month), regardless of when and where the disruption occurs. This study proposes a holistic framework of assessing the impact of node cascading disruptions in HSR network considering different affected times-of-day and geographic regions. A weighted network efficiency metric is proposed to assess network performance considering both travel time and train frequency along the topological shortest path. Analysis of China's HSR finds that (1) the network is less robust to disruptions occurring in East China or along the Harbin-Hong Kong corridor; (2) Disruptions during 10:00-15:00 have the largest impact; (3) lockdowns during COVID-19 outbreak in Jan-Feb 2020 led to 14.5% reduction in overall network efficiency. The results generate insights into further development of the HSR network and provide policy support for HSR resilience-enhancing strategies.