[1] Ding Y, Dong Y Q, Shi Y D, et al. State-of-the-art on seismic isolation of long-span spatial structures[J]. Journal of Southeast University(Natural Science Edition), 2023, 53(5): 857-868. DOI:10.3969/j.issn.1001-0505.2023.05.013. (in Chinese)
[2] Lu Z, Yan D Y, Zhou M Y, et al. Vulnerability analysis of a complex super high-rise connected structure under the combined action of earthquake and wind[J]. Journal of Southeast University(English Edition), 2024, 40(1): 13-23. DOI: 10.3969/j.issn.1003-7985.2024.01.002.
[3] Yi C X, Shi P J. Entropy generation and natural disasters[J].Journal of Beijing Normal University(Natural Science), 1994, 30(2): 276-280.(in Chinese)
[4] Wang D. Network model of emergency events based on correlation[D]. Dalian: Dalian University of Technology, 2013.(in Chinese)
[5] Zhang Y L, Zhang J P, Ren A Z, et al. Multiple disaster coupled prediction modeling using multi-agent models[J]. Journal of Tsinghua University(Science and Technology), 2011, 51(2): 198-203. DOI:10.16511/j.cnki.qhdxxb.2011.02.008. (in Chinese)
[6] Li Y J, Wang X Q, Qiao X J. Modeling evolution of seismic secondary disasters with stochastic petri nets[J]. Operations Research and Management Science, 2014, 23(4): 264-273. DOI:10.3969/j.issn.1007-3221.2014.04.034. (in Chinese)
[7] Xie Z L. Evolution mechanism and cooperated emergency management mechanism for urban post-earthquake disasters[D]. Chengdu: Southwest Jiaotong University, 2011.(in Chinese)
[8] Ma Z J, Xie Z L. Evolution mechanism of earthquake-induced urban disasters based on Bayesian networks[J]. Journal of Catastrophology, 2012, 27(4): 1-5, 24. DOI:10.3969/j.issn.1000-811X.2012.04.001. (in Chinese)
[9] Wang J X, Gu X Y, Huang T R. Using Bayesian networks in analyzing powerful earthquake disaster chains[J].Natural Hazards, 2013, 68(2): 509-527. DOI: 10.1007/s11069-013-0631-0.
[10] Han L N, Zhang J Q, Zhang Y C, et al. Hazard assessment of earthquake disaster chains based on a Bayesian network model and ArcGIS[J].ISPRS International Journal of Geo-Information, 2019, 8(5): 210. DOI: 10.3390/ijgi8050210.
[11] Kabir G, Suda H, Cruz A M, et al. Earthquake-related Natech risk assessment using a Bayesian belief network model[J]. Structure and Infrastructure Engineering, 2019, 15(6): 725-739. DOI: 10.1080/15732479.2019.1569070.
[12] Liang Y. Multi-hazard risk assessment and emergency decision of urban underground infrastructure based on Bayesian network and knowledge graph[D]. Harbin: Harbin Institute of Technology, 2021.(in Chinese)
[13] Fang D H, Yu K, Wan D Y, et al. Scenario evolution analysis of earthquake secondary disasters based on Bayesian network[J].Journal of Wuhan University of Technology(Information & Management Engineering), 2021, 43(6): 493-499. DOI:10.3963/j.issn.2095-3852.2021.06.001. (in Chinese)
[14] Liu A H. Research on the dynamics evolution model of urban disaster chain and the risk assessment method of disaster chain[D]. Changsha: Central South University, 2013.(in Chinese)
[15] Liu L, Xu H, Li S M. Review on the scenario and scenario-response theory for unconventional emergency management[J]. Journal of UESTC(Social Sciences Edition), 2013, 15(6): 20-24. DOI:10.14071/j.1008-81052013.06.008. (in Chinese)
[16] Tang P, Xia Q, Wang Y Y. Addressing cascading effects of earthquakes in urban areas from network perspective to improve disaster mitigation[J]. International Journal of Disaster Risk Reduction, 2019, 35: 101065. DOI: 10.1016/j.ijdrr.2019.101065.
[17] Chen J, Zhang Y, Liu L. Vulnerability analysis of multimodal transport networks based on complex network theory[J]. Journal of Southeast University(English Edition), 2021, 37(2): 209-215. DOI: 10.3969/j.issn.1003-7985.2021.02.011.
[18] Yin Y, Wang S X. Dependency-based importance measures of components in mechatronic systems with complex network theory[J]. Journal of Southeast University(English Edition), 2022, 38(2): 137-144. DOI: 10.3969/j.issn.1003-7985.2022.02.005.
[19] Xiong W, Zhang D N, Ma X L, et al. Review of resilience assessment in urban floods on transportation road network infrastructures[J]. Journal of Southeast University(Natural Science Edition), 2024, 54(2): 329-345. DOI:10.3969/j.issn.1001-0505.2024.02.010. (in Chinese)
[20] Zhang L, Lu J, Lei D. Vulnerability analysis of bus-metro composite network based on complex network and spatial information embedding[J].Journal of Southeast University(Natural Science Edition), 2019, 49(4): 773-780. DOI:10.3969/j.issn.1001-0505.2019.04.022. (in Chinese)
[21] Liu X. Research on prediction and analysis of cascading disasters based on text mining[D]. Wuhan: China University of Geosciences, 2021.(in Chinese)
[22] Ren X L, Lu L Y. Review of ranking nodes in complex networks[J]. Chinese Science Bulletin, 2014, 59(13): 1175-1197. DOI:10.1360/972013-1280. (in Chinese)
[23] Cui P, Han Y S, Chen X Q. Distribution and risk analysis of dammed lakes reduced by Wenchuan earthquake[J]. Journal of Sichuan University(Engineering Science Edition), 2009, 41(3): 35-42. DOI:10.15961/j.jsuese.2009.03.024. (in Chinese)
[24] Li H N, Xiao S Y, Huo L S. Damage investigation and analysis of engineering structures in the Wenchuan earthquake[J]. Journal of Building Structures, 2008(4): 10-19. DOI:10.14006/j.jzjgxb.2008.04.002. (in Chinese)
[25] Zhou H W, Yang X G, Li H T, et al. Risk elimination techniques and management of earthquake lakes[J]. Journal of Sichuan University(Engineering Science Edition), 2009, 41(3): 96-101. DOI:10.15961/j.jsuese.2009.03.028. (in Chinese)