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Linking landslide deformation to triggering factors via isotonic constraints of displacement measurements YE Xiao, SHEN Linxuan, YU Yiqiang, ZHAN Wei, ZHU Honghu China Safety Science Journal    2026, 36 (3): 121-129.   DOI: 10.16265/j.cnki.issn1003-3033.2026.03.1209 Abstract （1019）   HTML （0）    PDF（pc） （7521KB）（0）       Knowledge map    Save To accurately identify landslide deformation characteristics and triggering factors from monitoring data containing excessive noise, this study proposed a noise-reduction method for displacement monitoring data based on isotonic regression. It further established correlation rules linking deformation in different subzones to multi-level hydrometeorological conditions, incorporating time-lag effects. Using the Zhakoushi landslide in Fengjie County, Chongqing as a case study, displacement monitoring data before and after isotonic regression processing were comparatively analyzed to preliminarily investigate deformation patterns at different locations. The time delays between displacement at each monitoring station and rainfall and elevation of reservoir water level were calculated, enabling the extraction of association rules between deformation in these subzones and hydrometeorological factors, thus clarifying long-term deformation characteristics and its triggering mechanism of the landslide. The results demonstrate that the isotonic regression algorithm effectively removes non-physical noise while preserving intrinsic deformation information, considerably enhancing data quality. The landslide movements exhibit significant spatial heterogeneity, with the front part experiencing the most extensive deformation controlled jointly by reservoir drawdown and rainfall, followed by the rear part influenced by topography-enhanced rainfall recharge. The synergistic effect of rapid drawdown of reservoir water (>0.5 m/d) and intense rainfall (>30 mm/d), which generate an outward-directed seepage force and reduce matrix suction, is the primary triggering mechanism for the landslide. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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China Safety Science Journal    2025, 35 (8): 272-272.   Abstract （769）   HTML （8）    PDF（pc） （2008KB）（36）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Multimodal large model-based approach for construction safety hazard recognition AN Siqi, CAI Anglin, MA Zicheng, ZHU Baoyan China Safety Science Journal    2025, 35 (9): 185-192.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1298 Abstract （573）   HTML （11）    PDF（pc） （7997KB）（42）       Knowledge map    Save In order to enhance the automatic recognition of safety hazards and improve safety management in construction scenarios, a multimodal large-model-based method for construction safety hazard recognition was proposed and its core component—the multimodal safety hazard recognition model, LLaVA(Large Language and Vision Assistant)-CS(Construction Site), was implemented. The system integrated images (construction site photos) with safety operating procedures (worker behavior descriptions), leveraging multimodal learning and deep learning technologies to perform real-time monitoring and analysis of construction sites. To support the system's effective operation, a multimodal dataset covering complex conditions such as varying lighting, occlusions, and multi-person scenarios was constructed, addressing the gaps in existing public datasets. Through prompt tuning of the LLaVA-1.5 model, the LLaVA-CS model effectively integrated visual and textual information, enhancing the accuracy and interpretability of safety hazard recognition. Experimental results show that this method achieves an accuracy of 0.722 2 in multiple real-world construction projects, generating detailed explanatory texts in real time to help managers quickly understand specific safety hazard contexts, thereby improving decision-making in safety management. This study innovatively applies multimodal large models to construction safety management systems, providing real-time, interpretable safety monitoring solutions and offering new technical support and optimization directions for construction safety management. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A review of technology development of large language model and knowledge graph in field of construction safety ZHAO Rongyong, PENG Xingzhu, WEI Bingyu, ZENG Guoyi, LIU Fengnian, YAN Peng China Safety Science Journal    2025, 35 (12): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.12.0044 Abstract （523）   HTML （0）    PDF（pc） （3912KB）（0）       Knowledge map    Save In order to clarify the potential research value and application prospects of LLMs and KG technologies in the field of construction safety, the existing problems in the knowledge-driven digital transformation of this domain were comprehensively analyzed, and the current state of technological development regarding knowledge graphs and large language models within it was reviewed. First, relevant literature was retrieved from the China National Knowledge Infrastructure (CNKI) and Web of Science(WoS) databases to define the scope of analysis. Then, the existing problems and challenges in the digital transformation of construction safety were analyzed, and the necessity of introducing KG and LLM was elaborated. Subsequently, the technological development of KG and LLM, along with the current status of their application research in construction safety, was briefly described. Preliminary achievements in the integrated application of KG and LLM within the construction safety domain were explored. Finally, the shortcomings of existing research were summarized, and future research directions are outlined. The results indicate that LLMs and KG technologies have demonstrated significant application potential in various scenarios within construction safety, including knowledge management, risk identification, and intelligent decision-making, highlighting considerable prospects for future implementation. However, current research still faces challenges such as a lack of real-time capabilities and insufficient integration. Future efforts should focus on establishing comprehensive and precise construction safety KG and exploring novel approaches for the integrated application of LLM and KG. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Exploration and practice of collaborative training for safety discipline talents between universities and institutions: from integration of science and education to integration of industry and education TONG Ruipeng, WANG Leyao, HAN Jixiang, ZHANG-JIANG Bonan, KANG Rongxue, AN Yu China Safety Science Journal    2025, 35 (7): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1357 Abstract （477）   HTML （6）    PDF（pc） （6248KB）（23）       Knowledge map    Save To cultivate talents with both theoretical innovation and practical abilities in safety science and engineering discipline of universities, this paper explored the educational practice of safety discipline from the integration of science and education to the integration of production and education. First, the integration concepts of science and education and integration of production and education were analyzed under the new Degree Law, establishing the connotation requirements and an educational framework for science-industry-education synergy. Utilizing macro, meso, and micro perspectives, this study constructed robust educational systems, management mechanisms and training programs. Examples from School of Emergency Management and Safety Engineering of China University of Mining and Technology-Beijing and National Academy of Safety Science and Engineering illustrated the effective cultivation of talent seeds, the creation of nurturing environments, and the achievement of substantial educational outcomes. Results indicate that this collaborative model significantly enhances the comprehensive development of safety professionals and improves the overall quality of education in the safety discipline. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Influence mechanism of psychological fatigue on unsafe behaviors of construction workers YAN Haoran, LI Ming, XU Xia, JIANG Xiangting China Safety Science Journal    2025, 35 (7): 15-21.   DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1461 Abstract （470）   HTML （4）    PDF（pc） （6117KB）（36）       Knowledge map    Save To reduce the negative impact of psychological fatigue on construction workers' safety, the relationship between psychological fatigue and UB and their underlying mechanisms were investigated. First, based on the characteristics of construction workers and literature review, psychological fatigue was divided into three dimensions: reduced motivation (RM), cognitive weakness (CW), and emotional exhaustion (EE). Secondly, based on protection motivation theory (PMT) and Conservation of Resources Theory (COR), HP was introduced as a mediating variable and SS was introduced as a moderating variable. Finally, Structural Equation Modeling and hierarchical regression analysis were used to explore the mechanism through which psychological fatigue affects construction workers' UB. The results show that psychological fatigue is found to have a significantly positive impact on UB through the three dimensions of RM, CW, and EE; HP is identified to partially mediate the relationship between psychological fatigue and UB. Both the direct effect of psychological fatigue on UB and the mediating role of HP between them are moderated by SS. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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China Safety Science Journal    2025, 35 (10): 247-247.   Abstract （439）   HTML （0）    PDF（pc） （2383KB）（1）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Efficacy evaluation of fire communication command system based on IPSO-BP YU Zhenjiang China Safety Science Journal    2025, 35 (9): 1-7.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1418 Abstract （406）   HTML （0）    PDF（pc） （6324KB）（13）       Knowledge map    Save This study provides quantitative support for analyzing current fire communication command systems and enabling their iterative upgrades. A four-level efficacy evaluation index system for brigade-level fire command communication systems was constructed, based on fire communication command system design specifications. This system assessed three key dimensions: operational support capability, data service capability, and communication assurance capability. An IPSO-BP-based system efficacy evaluation method was proposed, building upon BP neural network algorithm. Parameters were optimized using IPSO algorithm. Sample data were acquired through a combination of expert scoring and the Analytic Hierarchy Process (AHP). Principal Component Analysis (PCA) was applied for dimensionality reduction. Simulation comparisons were conducted using three distinct models: BP neural network, PSO-BP neural network, and IPSO-BP neural network. Results demonstrate that IPSO-BP neural network model achieves the fastest convergence speed. Its mean square error decreases by 75.71% compared to BP neural network model and by 45.96% compared to PSO-BP neural network model, representing the lowest error value among the three models. Furthermore, IPSO-BP model reasonably and accurately evaluates brigade-level fire communication command system efficacy, demonstrating considerable generalizability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Construction and application of intelligent question-answering model for accident investigation reports based on DeepSeek and RAG LI Hua, WU Lizhou, LI Xinhong, ZHANG Yue, FENG Yao, QIN Ziyun China Safety Science Journal    2026, 36 (1): 26-34.   DOI: 10.16265/j.cnki.issn1003-3033.2026.01.0840 Abstract （406）   HTML （0）    PDF（pc） （9371KB）（0）       Knowledge map    Save In order to address the constraints of limited corpus resources, restricted input capacity, and data privacy in applying LLMs to the field of safety engineering, a localized accident question-answering model integrating the DeepSeek with a RAG mechanism was constructed to enable intelligent parsing and knowledge services for complex texts, thereby supporting safety management decision-making. A semantic-feature corpus was built based on accident investigation reports and laws and regulations released by government emergency management systems, and technologies such as PaddleOCR, LayoutLMv3, and YOLOv8 were incorporated to accomplish document structure reconstruction and semantic modeling. The model encompassed four stages—document parsing, semantic alignment, knowledge-base construction, and hybrid retrieval—and was designed with capabilities for causal-chain extraction, regulation matching, and semantic mapping. The results indicated that, compared with the Deepseek-r1:32b model without the RAG mechanism, the enhanced model achieved improvements of 7.7% in automated scoring and 17.6% in human evaluation, and the response-speed and stability metrics presented higher numerical performance than those of the baseline model. The model performance was still influenced by the local parameter scale and the knowledge-updating mechanism, yet the experimental findings demonstrate that it is capable of fulfilling the intended functions in the present study. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Theoretical logic and four-dimensional pathways for emergency management discipline construction from perspective of value co-creation TAN Shuang, BI Lingfei China Safety Science Journal    2025, 35 (11): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.1293 Abstract （401）   HTML （0）    PDF（pc） （3999KB）（0）       Knowledge map    Save To explore innovative pathways for the development of emergency management discipline and address its current bottlenecks, this study systematized the theoretical logic of emergency management discipline construction based on value co-creation theory and designed a four-dimensional framework encompassing goal optimization, community building, full-process value co-creation, and technological empowerment. The results indicate that China's emergency management discipline construction currently faces challenges including fragmented value cognition, insufficient stakeholder coordination, unbalanced resource allocation, and superficial technological empowerment. An integrated theoretical framework incorporating value coupling, community construction, full-process co-creation, and technological empowerment can be constructed to guide disciplinary practice. Applying value co-creation theory can address deep-seated contradictions in discipline construction, thereby promoting its transformation from fragmentation toward systematization. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Model for reshaping excellent safety culture ZHANG Lin, ZHANG Hua China Safety Science Journal    2026, 36 (1): 1-6.   DOI: 10.16265/j.cnki.issn1003-3033.2026.01.0725 Abstract （392）   HTML （0）    PDF（pc） （2424KB）（0）       Knowledge map    Save A safety culture reshaping model was studied to enable enterprises to carry out safety culture reshaping in a more effective manner and enhance practical outcomes. Typical domestic and international safety culture models were systematically compared and analyzed to summarize their characteristics in terms of element design and logical structure. Based on actual needs of enterprise safety management scenarios, elements adaptation and frameworks integration were carried out, and an excellent safety culture reshaping model. This model incorporated six core elements—leadership, safety philosophy, risk control, communication, systems, and behavior, and deeply integrated within the "being-knowing-doing unity" logical framework. The results show that "excellence" is reflected in ambitious goals, extreme execution, and measurable mechanisms, while the core of "reshaping" lies in "retaining strengths and correcting weaknesses", which involves transforming unscientific safety concepts, revising imperfect systems, improving inefficient communication, and rectifying misleading leadership behaviors. The application of the excellent safety culture reshaping model enables all employees to first establish a solid foundation in values and safety beliefs, then reach a consensus in safety cognition, and finally standardize their safety behaviors, forming a shared behavioral pattern, thereby enhancing the effectiveness of safety culture reshaping. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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S3DA2 framework for emergency command system and key technologies of emergency digital twin battlefield CHEN Tao, ZHANG Hui, HUANG Lida, TIAN Ranran, YAN Xiaoli China Safety Science Journal    2025, 35 (10): 205-212.   DOI: 10.16265/j.cnki.issn1003-3033.2025.10.1646 Abstract （391）   HTML （1）    PDF（pc） （5178KB）（6）       Knowledge map    Save To remedy the fragmented command tiers, a weak data-to-decision link and poor dynamic adaptability, which have long limited the effectiveness of China's emergency-response system, an integrated framework based on digital-twin technology was investigated. A generic four-tier, five-step model—comprising an emergency-command center, on-site command post, rescue teams and individual rescuers, together with the steps Sense, Simulate, Strategize, Decide and Act—was established and extended to the S3DA2 framework. A cost-minimization formula for optimal decision making was derived. Building on this framework, an emergency digital-twin battlefield technology system was established, encompassing multi-source data fusion, twin modelling, fluid-solid-coupled/artificial intelligence hybrid simulation and multi-objective decision optimization. A fluid-solid coupling, multi-agent rescue simulator was developed and validated with the 2024 Tuanzhou Dyke breach on Dongting Lake, enabling a real-time closed loop between the physical scene and its virtual replica. Results show that breach-width predictions deviate by less than 10%, total sealing time is reduced from 82 h to 52 h, and the estimated rock-fill demand of 5.9 × 104 m3 matches field measurements. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Operational risks of large manned eVTOL for tourism in mountainous scenic areas LI Jiayin, TAN Deqiang, QIAN Yiyi China Safety Science Journal    2025, 35 (S1): 210-216.   DOI: 10.16265/j.cnki.issn1003-3033.2025.S1.0032 Abstract （355）   HTML （2）    PDF（pc） （2297KB）（32）       Knowledge map    Save To enhance the operational safety of large manned eVTOL aircraft in low-altitude tourism scenarios in mountainous scenic areas, this study used Gupo Mountain in Hezhou, Guangxi Zhuang Autonomous Region as the operational context and the EHang EH216-S unmanned aerial vehicle as an example. Based on risk management theory and the specific conditions of this aircraft, the study identified and analyzed its operational risks. First, through literature review and analogical reasoning, the operational risks of the eVTOL aircraft were identified from four aspects: human factors, equipment factors, environmental factors, and management factors. Then, the fuzzy comprehensive evaluation method and analytic hierarchy process were integrated into the BN model to conduct risk assessment. Finally, the posterior probabilities of accident causation were calculated using the BN model. The results indicate that, in the event of a control failure, navigation failure is the primary cause, with an occurrence probability of 79.41%. A fault in the command and control link is the main reason for navigation failure, with a probability of 97.02%. The application of multiple-channel encryption technology and complex high-speed frequency hopping techniques, along with a data link interference prediction model and anti-jamming communication strategies, can reduce the operational risks associated with eVTOL. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Logical relationships among risk, danger, and source of danger ZHU Shiyang China Safety Science Journal    2025, 35 (S1): 29-31.   DOI: 10.16265/j.cnki.issn1003-3033.2025.S1.0005 Abstract （343）   HTML （1）    PDF（pc） （1543KB）（37）       Knowledge map    Save To enhance the awareness of practitioners, strengthen safety risk control, and effectively reduce the risk of accidents, it is necessary to systematically sort out the theoretical achievements related to risk classification and control and hidden danger investigation and management, deeply explore the practical problems caused by conceptual deviations, and clarify the logical relationship among risks, danger, and source of danger. The results show that an accident is the ultimate product of uncontrolled danger; every accident must have potential danger. Danger stems from the inherent harmfulness of the danger source and is a subjective evaluation of it. Risk is a subjective unity of value and danger; to obtain value, one must bear the risk. The degree of risk is determined by the degree of danger, and the greater inherent harmfulness of the danger source means a higher risk. Reference | Related Articles | Metrics | Comments（0）

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A SEM-based study of influence of miners'Big Five personality traits and emotions on unsafe behaviors TIAN Shuicheng, NIE Yurong, CHEN Lei, ZHANG Xiaoya China Safety Science Journal    2025, 35 (8): 22-32.   DOI: 10.16265/j.cnki.issn1003-3033.2025.08.0723 Abstract （342）   HTML （0）    PDF（pc） （2086KB）（12）       Knowledge map    Save In order to further prevent coal mine safety accidents triggered by miners'personality traits and psychological factors, this study adopts the Big Five personality model to assess personality traits. From the perspective of emotions, this study explores the predictive role of the Big Five personality and emotions in miners'unsafe behaviors, while also examining the moderating effect of emotions on the relationship between the Big Five personality traits and unsafe behaviors. First, SPSS 26.0 and AMOS 26.0 were used to analyze the reliability and validity of the questionnaire. Then, a SEM was established to verify the hypotheses. On this basis, the hierarchical regression analysis method was employed to test the moderating effect of emotions. The results show that: the three personality traits of extraversion, neuroticism, and openness, and negative emotions positively influence unsafe behaviors. The two personality traits of agreeableness and conscientiousness, and positive emotions negatively affect unsafe behaviors. Positive emotions play a moderating role in the relationship between the openness personality trait and unsafe behaviors. Negative emotions have a moderating effect in the relationships between the four personality traits of neuroticism, openness, extraversion, and agreeableness and unsafe behaviors. Therefore, coal mining enterprises can identify potential safety hazards and develop strategies to intervene in employees'unsafe behaviors based on workers'personality traits and emotional states, thereby enhancing the on-site safety level. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Exploration and application of intelligent emergency plan MENG Fanhua China Safety Science Journal    2025, 35 (S1): 252-255.   DOI: 10.16265/j.cnki.issn1003-3033.2025.S1.0038 Abstract （340）   HTML （1）    PDF（pc） （1513KB）（28）       Knowledge map    Save In order to solve the problems of slow response speed and lack of scientific decision-making existing in the traditional emergency plan, emerging information technologies such as big data, artificial intelligence, Internet of Things, and cloud computing were used, and an intelligent emergency plan was constructed. The specific application strategies in different fields, such as natural disasters, public health events, and safety production accidents, were comprehensively analyzed. The results show that the construction of an intelligent emergency plan can monitor the relevant information of emergencies in real time, accurately evaluate the development trend of events through data analysis and model prediction technology, and automatically generate optimized emergency response strategies by using real-time information collection and automatic analysis, which has stronger dynamic adaptability and scientificity. The intelligent emergency plan realizes the intelligent allocation and collaborative command of emergency resources, overcomes the static nature and limitations of the traditional emergency plan, and constructs an emergency management scheme with the ability of intelligent perception, analysis, decision-making, and execution. Reference | Related Articles | Metrics | Comments（0）

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Study on human body injury mechanism based on principle of biological energy system GUO Hanjun, MA Qiuju, KANG Rongxue China Safety Science Journal    2025, 35 (6): 1-9.   DOI: 10.16265/j.cnki.issn1003-3033.2025.06.0121 Abstract （340）   HTML （3）    PDF（pc） （1785KB）（33）       Knowledge map    Save In order to enhance safety in production, a human injury mechanism of operation was studied based on the principles of human BES. A safety model for human factors in operations was integrated from biological energy and the functional capabilities of biological tissues. The energies interacting with the human body were categorized into four types: the ingested energy, the activity energy, the substance energy in production and the energy from surrounding. The way they influenced the operation safety was analyzed. Based on injury consequence state, the characterization function of human injury degree was constructed, and mechanism of human injury under the action of substance energy was revealed. It shows that the abnormality of substances and energies in production operation produces overaction in the human body and leads to the blockage or imbalance of biological energy activities, which results in biological tissue damage and loss of function. This is the root cause of human injury. The substances and energies which interact with the human body come from external surroundings and internal (e.g. the body's biological energy). All the root causes of occupational health injury and production safety injury can be traced to energy interactions. That helps us to form a unified mechanism of human injury theoretically. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Analysis of influencing factors and management countermeasures of courier's unsafe behavior based on SOR theory TIAN Fangyuan, CHEN Zujie, LI Hongxia China Safety Science Journal    2025, 35 (9): 87-95.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.0997 Abstract （335）   HTML （1）    PDF（pc） （1953KB）（12）       Knowledge map    Save In order to reduce couriers' unsafe behaviors caused by job burnout and effectively avoid safety accidents, this study aimed to explore the influencing factors and management countermeasures of couriers' unsafe behaviors based on the Stimulus-Organism-Response (SOR) theoretical framework, employing mixed research methods. Firstly, it integrated data from on-site interviews and questionnaires, and analyzed the action paths of work burnout and safety attitude on couriers' unsafe behaviors from the four-dimensional factors of man, machine, environment, and management. Secondly, it constructed a conceptual model that includes the four-dimensional factors (man, machine, environment, and management), work burnout, safety attitude, and unsafe behaviors. Finally, it used Smart PLS 4.0 software to verify the structural equation model and put forward corresponding management improvement strategies for the state, express enterprises, and couriers based on the analysis results. The results show that work burnout and safety attitude have a significant positive impact on couriers' unsafe behaviors. Among them, the four-dimensional factors of man, machine, environment, and management indirectly affect unsafe behaviors through the mediating role of work burnout; the three-dimensional factors of machine, environment, and management indirectly affect unsafe behaviors through the mediating role of safety attitude (p<0.05). Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A pilot operation risk early warning method integrating XGBoost and Transformer WANG Wenchao, HE Jian, WANG Lei, ZHANG Hangbin China Safety Science Journal    2025, 35 (9): 121-128.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.0095 Abstract （329）   HTML （0）    PDF（pc） （12722KB）（12）       Knowledge map    Save To further enhance the risk management mechanism during flight operations, an early warning for pilot handling smoothness was developed by integrating flight big data. First, core parameters related to unstable approaches were filtered from QAR data. The XGBoost algorithm was then utilized for feature optimization to identify key risk early warning indicators. Subsequently, a dynamic risk identification architecture capable of effectively capturing spatio-temporal dependencies was constructed by incorporating the attention mechanism of Transformer networks.. Finally, the method's performance was validated using flight data from B737-800 aircraft operated by an airline in Shandong. The results indicate that this method can effectively predict in-flight risk events, particularly in providing high-accuracy risk warnings during critical phases before landing. Compared with traditional warning methods, the approach demonstrates significant advantages in identification accuracy, model generalization capability, and feature extraction efficiency. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Risk evaluation index system for ship collision with navigable bridges based on collision probability FENG Yutao, HE Yang, DENG Hao, YU Kui, HOU Yunfei China Safety Science Journal    2025, 35 (9): 60-69.   DOI: 10.16265/j.cnki.issn1003-3033.2025.09.1064 Abstract （328）   HTML （0）    PDF（pc） （8018KB）（9）       Knowledge map    Save In order to improve the accuracy and reliability of ship-bridge collision risk assessment for navigable bridges, the causes of 248 ship-bridge collision accidents at home and abroad were statistically analyzed and identified, thereby constructing the initial index system of ship-bridge collision risk factors, including 23 risk causes. Based on the fault tree analysis method, the initial fault tree of ship-bridge collision risk was constructed. Boolean algebra operation was used to obtain the fault tree cut sets. By merging and deduplicating the minimum cut sets, the number of causes in the initial fault tree was first simplified. According to the calculation and analysis of the accident probability caused by residual risk causes, combined with Pearson correlation analysis of risk factors, the number of fault tree risk causes was simplified in the second step, and then the main risk factors affecting ship-bridge collisions were identified. The results show that factors such as "navigational conditions and exceeding navigational clearance height", "poor working status", "weak communication ability and poor crew ability", "ship equipment aging and psychological habit" should be incorporated into risk causes including "unfamiliarity with navigational conditions", "lack of navigation technology", "mechanical equipment failure and fluky psychology". Abnormal psychology did not cause accidents during the 8-year period of accident probability analysis, and its proportion in accidents over 10 years was only 0.21%, so it should be eliminated. The correlation between ship density, management of navigational aids and other factors is weak, and the probability caused by the two factors is low, so they can be removed from the main risk factors of ship-bridge collision. Therefore, a ship-bridge collision risk evaluation index system for navigable bridges is constructed, which is based on 14 main risk factors such as meteorological and hydrological conditions, mechanical equipment failure, and weak professional navigation technology and weak emergency response capability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）