Robustness Analysis of Railway-economic Multilayer Networks with Heterogeneous Coupling
YU Haibo1, GAO Yanli2, CHEN Shiming2, FENG Chao1
1. School of Mechanical and Electrical Engineering, Xinjiang Institute of Technology, Aksu 735400, China; 2. School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China
Abstract：This paper proposes a new railway-economic multilayer networks with heterogeneous coupling by considering the real-life correlation between the railway transport and economic operating systems to analyze the robustness of the two systems under the impact of disasters. This study analyzes the robustness of this multilayer networks by simulating the impact of disasters on networks as random failure, deliberate sabotage, and local failure. It was determined that the resistance of the railway network is higher than that of the economic network. Furthermore, the critical nodes and edges of the railway and economic network were identified through deliberate sabotage. The distribution of local failure critical node clusters that have the strongest impact on the robustness of the system is different for various radii at local failure.
[1] YANG Q, WANG Y, LIU Y, et al. The impact of China′s high-speed rail investment on regional economy and air pollution emissions[J]. Journal of Environmental Sciences, 2023, 131: 26-36. [2] KONG Q, LI R, JIANG X, et al. Has transportation infrastructure development improved the quality of economic growth in China’s cities? A quasi-natural experiment based on the introduction of high-speed rail[J]. Research in International Business and Finance, 2022, 62: 101726. [3] WANG Y, DONG W. How China′s high-speed rail promote local economy: new evidence from county-level panel data[J]. International Review of Economics & Finance, 2022, 80: 67-81. [4] ZHANG Y, CHENG L. The role of transport infrastructure in economic growth:empirical evidence in the UK[J]. Transport Policy, 2023, 133: 223-233. [5] 路广宇,汤银英,陈思.中欧国际铁路货运需求预测及系统动力学仿真研究[J].交通运输工程与信息学报,2022,20(2):150-163. LU G Y, TANG Y Y, CHEN S. A prediction and system dynamics simulation study of freight demand of sino-europe international railway[J]. Journal of Transportation Engineering and Information, 2022, 20(2): 150-163. [6] HU J, MA G, SHEN C, et al. Impact of urbanization through high-speed rail on regional development with the interaction of socioeconomic factors: a view of regional industrial structure[J]. Land, 2022, 11(10): 1790. [7] GUO Y, LI B, HAN Y. Dynamic network coupling between high-speed rail development and urban growth in emerging economies: evidence from China[J]. Cities, 2020, 105: 102845. [8] LÜ Y, CHEN Y. Research on the evolution characteristics and synergistic relationship between HSR network and economic network in hubei province[J]. Sustainability, 2022, 14(15): 9076. [9] MA G, HU J, ZHANG R. Spatial-temporal distribution and coupling relationship of high-speed railway and economic networks in metropolitan areas of China[J]. Land, 2023, 12(6): 1193. [10] LI M, LI H, WANG K, et al. Dynamic network relationship between transportation and urban economy: a case study of China′s high-speed rail as a new transportation technology[J]. Research in Transportation Economics, 2023, 102: 101360. [11] BULDYREV S V, PARSHANI R, PAUL G, et al. Catastrophic cascade of failures in interdependent networks[J]. Nature, 2010, 464(7291): 1025-1028. [12] GAO Y L, CHEN S M, ZHOU J, et al. Percolation of edge-coupled interdependent networks[J]. Physica A: Statistical Mechanics and its Applications, 2021, 580: 126136. [13] LIU S, YIN C, CHEN D, et al. Cascading failure in multiple critical infrastructure interdependent networks of syncretic railway system[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(6): 5740-5753. [14] BELLÉ A, ZENG Z, DUVAL C, et al. Modeling and vulnerability analysis of interdependent railway and power networks: application to British test systems[J]. Reliability Engineering & System Safety, 2022, 217: 108091. [15] FERRARI C, SANTAGATA M. Vulnerability and robustness of interdependent transport networks in north-western Italy[J]. European Transport Research Review, 2023, 15: 6. [16] LI W, KENETT D Y, YAMASAKI K,et al. Ranking the economic importance of countries and industries[J]. Quantitative Finance, 2014, 3(3):1-17. [17] SHI X, LONG W, LI Y, et al. Robustness of interdependent supply chain networks against both functional and structural cascading failures[J]. Physica A: Statistical Mechanics and Its Applications, 2022, 586: 126518. [18] SUN R, ZHU G, LIU B, et al. Vulnerability analysis of urban rail transit network considering cascading failure evolution[J]. Journal of Advanced Transportation, 2022, 2022(1): 2069112. [19] ZHANG Y, NG S T. Robustness of urban railway networks against the cascading failures induced by the fluctuation of passenger flow[J]. Reliability Engineering & System Safety, 2022, 219: 108227. [20] ILALOKHOIN O, PANT R, HALL J W. Amodel and methodology for resilience assessment of interdependent rail networks-case study of Great Britain′s rail network[J]. Reliability Engineering & System Safety, 2023, 229: 108895. [21] WANG Z, JIA L, MA X, et al. Accessibility-oriented performance evaluation of high-speed railways using a three-layer network model[J]. Reliability Engineering & System Safety, 2022, 222: 108411. [22] XIE F, MA M, REN C. Research on multilayer network structure characteristics from a higher-order model: the case of a Chinese high-speed railway system[J]. Physica A: Statistical Mechanics and Its Applications, 2022, 586: 126473. [23] 国家统计局城市社会经济调查司. 中国城市统计年鉴-2021[M]. 北京: 中国统计出版社, 2022. [24] RASHID N U, TIM C K. Topological studies on public transport network in different network spaces and their significance[C]. AIP Conference Proceedings. AIP Publishing, 2024, 2895(1):020018. [25] PU H, LI Y, MA C. Topology analysis of Lanzhou public transport network based on double-layer complex network theory[J]. Physica A: Statistical Mechanics and Its Applications, 2022, 592: 126694. [26] 钱春蕾, 叶菁, 陆潮. 基于改进城市引力模型的武汉城市圈引力格局划分研究[J]. 地理科学进展, 2015 (2): 237-245. QIAN C L, YE J, LU C. Gravity zoning in Wuhan metropolitan area based on an improved urban gravity model[J]. Progress in Geography, 2015, 34(2): 237-245. [27] 李涛. 多层次视角下高铁网络脆弱性评估方法研究[D]. 大连:大连理工大学,2022. LI T. Vulnerability Vulnerabilityassessment method for high-speed rail network from a multi-level perspective[D]. Dalian: Dalian University of Technology, 2022. [28] 汪小帆, 李翔. 网络科学导论[M]. 北京:高等教育出版社, 2012.
