[1] ALIYU A. Management of disasters and complex emergencies in Africa: the challenges and constraints[J]. Annals of African medicine, 2015, 14(3): 123-31.
[2] SMITH A B, MATTHEWS J L. Quantifying uncertainty and variable sensitivity within the US billion-dollar weather and climate disaster cost estimate[J]. Natural hazards, 2015, 77(3): 1829-1851.
[3] ZUCCARO G, GREGORION D D, LEONE M F. Theoretical model for cascading effects analyses[J]. International journal of disaster risk reduction, 2018, 30: 199-215.
[4] 张惠, 景思梦. 认识级联灾害: 解释框架与弹性构建[J]. 风险 灾害 危机 研究, 2019(2): 26-56. (ZHANG H, JING S M. Understanding cascading disasters: interpretative framework and resilience building[J]. Journal of risk, disaster & crisis research, 2019(2): 26-56.)
[5] TZIOUTZIOS D, KIM J N, CRUZ A M. Appetite for Natech risk information in Japan: understanding citizens’ communicative behavior towards risk information disclosure around Osaka Bay[J]. International Journal of disaster risk science, 2022, 13(3): 372-390.
[6] RICCI F, YANG M, RENIERS G, et al. Emergency response in cascading scenarios triggered by natural events[J]. Reliability engineering & system safety, 2024, 243: 109820.
[7] ZHU G Y, SUN R R, FAN J X, et al. Coupling effect and chain evolution of urban rail transit emergencies[J]. IEEE transactions on intelligent transportation systems, 2024, 25(1): 1044-1053.
[8] ESPOSITO M, PALMA L, BELLI A, et al. Recent advances in Internet of things solutions for early warning systems: a review[J]. Sensors, 2022, 22(6): 2124.
[9] WANG Y S, ZHENG G P, WANG X. Development and application of a goaf-safety monitoring system using multisensor information fusion[J]. Tunnelling and underground space technology, 2019, 94: 103112.
[10] ZHANG Y M, CHEN K, WENG Y, et al. An intelligent early warning system of analyzing Twitter data using machine learning on COVID-19 surveillance in the US[J]. Expert systems with applications, 2022, 198: 116882.
[11] ZHANG W H. Geological disaster monitoring and early warning system based on big data analysis[J]. Arabian journal of geosciences, 2020, 13(18): 946.
[12] CHATFIELD A T, SCHOLL H J, BRAJAWIDAGDA U. Tsunami early warnings via Twitter in government: Net-savvy citizens’ co-production of time-critical public information services[J]. Government information quarterly, 2013, 30(4): 377-386.
[13] PAL I, GHOSH T, GHOSH C. Institutional framework and administrative systems for effective disaster risk governance -Perspectives of 2013 Cyclone Phailin in India[J]. International journal of disaster risk reduction, 2017, 21: 350-359.
[14] MARI O, PER-ANDERS O, NIKLAS H, et al. Exploring collaborative crisis management: a model of essential capabilities[J]. Safety science, 2023, 162(6): 106092.
[15] SHI P J. On the Role of government in integrated disaster risk governance-based on practices in China[J]. International journal of disaster risk science, 2012, 3(3): 139-146.
[16] KANARA S, SHAW R. Disaster risk reduction regime in Japan: an analysis in the perspective of open data, open governance[J]. Sustainability, 2022, 14(1): 19.
[17] 徐晓锋, 岳东霞. 信息治理的使能器效应——应急管理中基于信息承载力的使能模型构建[J]. 情报杂志, 2012, 31(1): 64-70. (XU X F, YUE D X. Enabling effects in information governance: building an emergency management model based on information carrying capacity[J]. Journal of intelligence, 2012, 31(1): 64-70.)
[18] GIULIO M D, VECCHI G. Implementing digitalization in the public sector. Technologies, agency, and governance[J]. Public policy and administration, 2021, 38(2): 133-158.
[19] 周利敏. 面向人工智能时代的灾害治理——基于多案例的研究[J]. 中国行政管理, 2019(8): 66-74. (ZHOU L M. Disaster management for the age of Artificial Intelligence: based on multiple case studies[J]. Chinese public administration, 2019(8): 66-74.)
[20] MUNAWAR H S, MOJTAHEDI M, HAMMADA W, et al. Disruptive technologies as a solution for disaster risk management: A review[J]. Science of the total environment, 2022, 806(3): 151351.
[21] RAUL G, VICTOR R, HORACIO P, et al. On the use of information fusion techniques to improve information quality: taxonomy, opportunities and challenges[J]. Information fusion, 2022, 78(C): 102-137.
[22] 操玉杰, 李纲, 毛进, 等. 大数据环境下面向决策全流程的应急信息融合研究[J]. 图书情报知识, 2018, 185(5): 95-104. (CAO Y J, LI G, MAO J, et al. Emergency information fusion oriented to the whole process of decision making in big data environment[J]. Intelligence, information & sharing, 2018, 185(5): 95-104.)
[23] ZOU Y H. Leveraging digital infrastructure for pandemic governance: preparation, praxis, and paradox[J]. Public performance & management review, 2023, 46(10): 140-164.
[24] LI X D, DUNKIN F, DEZERT J. Multi-source information fusion: progress and future[J]. Chinese journal of aeronautics, 2024, 37(7): 24-58.
[25] CASTANEDO F. A review of data fusion techniques[J]. The scientific world journal, 2013, 2013(1): 1-19.
[26] 化柏林, 李广建. 大数据环境下多源信息融合的理论与应用探讨[J]. 图书情报工作, 2015, 59(16): 5-10. (HUA B L, LI G J. Discussion on theory and application of multi-source information fusion in big data environment[J]. Library and information service, 2015, 59(16): 5-10.)
[27] LAMBERT D A. A unification of sensor and higher-level fusion[C]//20069th international conference on information fusion. Florence: IEEE, 2006: 1-8.
[28] 王慧强, 赖积保, 朱亮, 等. 网络态势感知系统研究综述[J]. 计算机科学, 2006(10): 5-10. (WANG H Q, LAI J B, ZHU L, et al. Survey of network situation awareness system[J]. Computer science, 2006(10): 5-10.)
[29] HOLSOPPLE J, SUDIT M, NUSINOV M, et al. Enhancing situation awareness via automated situation assessment[J]. IEEE communications magazine, 2010, 48(3): 146-152.
[30] BLASCH E, STEINBERG A, DAS S, et al. Revisiting the JDL model for information exploitation[C]//Proceedings of the 16th international conference on information fusion. Istanbul: IEEE, 2013: 129-136.
[31] BLASCH E, KADAR I, SALERNO J. Issues and challenges in situation assessment (Level 2) fusion[J]. Journal of advances in information fusion, 2006, 1(2): 122-139.
[32] LI S C, LIU C, ZHOU Z Q, et al. Multi-sources information fusion analysis of water inrush disaster in tunnels based on improved theory of evidence[J]. Tunnelling and underground space technology, 2021, 113: 103948.
[33] OCHOA S F, SANTOS R. Human-centric wireless sensor networks to improve information availability during urban search and rescue activities[J]. Information fusion, 2015, 22(C): 71-84.
[34] ZHANG L M, PAN Y. Information fusion for automated post-disaster building damage evaluation using deep neural network[J]. Sustainable cities and society, 2022, 77: 103574.
[35] YAN Z Z, ZHAO H P, WANG F P, et al. Rapid assessment of building collapse based on sequential dynamic fusion of multisource disaster information from news media[J]. International Journal of disaster risk reduction, 2020, 51: 101910.
[36] ZHONG W Q, MEI X, NIU F, et al. Fusing social media, remote sensing, and fire dynamics to track wildland-urban interface fire[J]. Remote sensing, 2023: 15(15): 3824.
[37] BHATIA M, AHANGER T A, MANOCHA A. Artificial intelligence based real-time earthquake prediction[J]. Engineering applications of artificial intelligence, 2023, 120(3): 105886.
[38] 娄策群, 范朋显, 叶磊. 网络信息生态链风险防范方略[J]. 图书情报工作, 2015, 59(22): 19-26. (LOU C Q, FAN P X, YE L. Strategy on risk prevention of the network information ecological chain[J]. Library and information service, 2015, 59(22): 19-26.)
[39] KAMALRATHNE T, AMARATUNGA D, HAIGH R, et al. Need for effective detection and early warnings for epidemic and pandemic preparedness planning in the context of multi-hazards: Lessons from the COVID-19 pandemic[J]. International journal of disaster risk reduction, 2023, 92: 103724.
[40] AL-ZAABI S, Al-ZADJALI S. Qualitative analysis of early warning: a case study from Oman[J]. International journal of disaster risk reduction, 2022, 68: 102731.
[41] BECK C, MCCUE C. Predictive Policing: what can we learn from Wal-Mart and Amazon about fighting crime in a recession? [J]. Police chief, 2009, 76(11): 18-20, 22-24.
[42] YUKHNO A. Digital transformation: exploring big data governance in public administration[J]. Public organization review, 2024, 24(1): 335-349.
[43] CRABTREE S A, KAHN J G, JACKSON R, et al. Why are sustainable practices often elusive? The role of information flow in the management of networked human-environment interactions[J]. Global environmental change, 2023, 78: 102597.
[44] CHEN H W, YU R F, LIAW S L, et al. Information policy and management framework for environmental protection organization with ecosystem conception[J]. International journal of environmental science & technology, 2010, 7(2): 313-326.
[45] ENDSLEY M R. Toward a theory of situation awareness in dynamic systems[J]. Human factors journal, 1995, 37(1): 32-64.
[46] NGUYEN T, LIM C P, NGUYEN N D, et al. A review of situation awareness assessment approaches in aviation environments[J]. IEEE systems journal, 2019, 13(3): 3590-3603.
[47] BLASCH E P, LAMBERT D A, VALIN P, et al. High level information fusion (HLIF): Survey of models, issues, and grand challenges[J]. IEEE aerospace and electronic systems magazine, 2012, 27(9): 4-20.
[48] 李琴, 岳经纶. 信息技术应用如何影响社会福利权的实现 ?——基于贫困治理的实证研究[J]. 公共行政评论, 2021, 14(3): 79-97, 198. (LI Q, NGOK K L. How the application of information and communication technology affect social welfare rights? Evidence from poverty governance in China[J]. Journal of public administration, 2021, 14(3): 79-97, 198.)
[49] TEDESCO A M, LOPEZ-CUBILLOS S, CHAZDON R, et al. Beyond ecology: ecosystem restoration as a process for socialecological transformation[J]. Trends in ecology & evolution, 2023, 38(7): 643-653.
[50] MAIER J, GOERKE P, ZINN, F, et al. Large language models can outperform humans in social situational judgments[J]. Scientific reports, 2024, 68(18): 13-22.
[51] 李秋实, 刘欢, 张顺顺. 生成式人工智能变革下开放科学的发展机遇与推进策略[J]. 图书情报工作, 2024, 68(18): 13-22. (LI Q S, LIU H, ZHANG S S. Development opportunities and promotion strategies for open science in the era of generative AI[J]. Library and information service, 2024, 68(18): 13-22.)