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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 （1186）   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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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 （762）   HTML （10）    PDF（pc） （3912KB）（118）       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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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 （714）   HTML （16）    PDF（pc） （9371KB）（100）       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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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 （644）   HTML （6）    PDF（pc） （5178KB）（62）       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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Statistical analysis of knowledge graph of dust explosion accidents in China ZHAO Kaigong China Safety Science Journal    2026, 36 (1): 35-41.   DOI: 10.16265/j.cnki.issn1003-3033.2026.01.0866 Abstract （622）   HTML （6）    PDF（pc） （6058KB）（44）       Knowledge map    Save This study aims to systematically explore the temporal and spatial patterns, causal mechanisms, and prevention and control strategies of dust explosion accidents in China. Knowledge graph technology combined with statistical analysis was used to analyze the relevant literature and accident cases of dust explosion accidents in China from 1990 to 2024. A knowledge graph was constructed using CiteSpace visualization software to analyze the spatiotemporal distribution characteristics and the accident causality chain of dust explosion accidents. A four-layer prevention and control system framework of "hazard source-facility-management-emergency" was constructed, and its effectiveness was verified by typical cases. It is found that the risk of dust explosion shows the characteristics of "type differentiation" and "geographical migration", with frequent occurrence of dust, high fatality of coal dust and high secondary injury of grain dust explosions. The accident hotspots are showing a trend of shifting from the eastern to the central and western regions. Inadequate dust cleaning and defective dust removal systems are central causes, while operational violations and use of non-explosion-proof equipment are main triggering conditions, and the causal structure varies significantly with dust types. The implementation of differential and precise prevention and control strategies is the key means to improve the prevention and control efficiency of dust explosion accidents. 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 （544）   HTML （8）    PDF（pc） （2424KB）（75）       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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Cognitive bias and decision optimization mechanism in energy engineering safety: case study of Fukushima nuclear power plant accident LIU Yuteng, LIU Yufei, WANG Jinggang, LUO Jinghui, ZHANG Changjian China Safety Science Journal    2025, 35 (10): 60-66.   DOI: 10.16265/j.cnki.issn1003-3033.2025.10.1684 Abstract （524）   HTML （6）    PDF（pc） （1852KB）（44）       Knowledge map    Save To study the impact of cognitive bias on energy safety engineering decision-making, the Fukushima nuclear power plant accident was taken as the research object. A full-cycle decision-making analysis chain, covering risk identification (earthquake and tsunami assessment), crisis disposal (cooling system failure treatment), and aftermath management (information disclosure decision-making), was built through retrospective analysis of the accident timeline and key decision points. Cognitive psychology theory was used to analyze decision-making bias phenomena in energy engineering safety management, and the specific mechanisms of these biases in emergency response and risk assessment were revealed. Results show that six typical cognitive biases are present in the emergency decision-making during this accident, including confirmation bias, anchoring effect, representative heuristics, framing effect, loss aversion, and overconfidence. This analysis demonstrates that cognitive bias identification can enhance energy engineering safety management, and improve the effectiveness of safety emergency responses. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Safety evaluation of lifting machinery based on game theory-improved cloud model LIU Jin'e, JIANG Ming, YUN Ke, XIE Xumeng, LI Yongquan, WANG Banqiao China Safety Science Journal    2025, 35 (11): 81-91.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0420 Abstract （511）   HTML （2）    PDF（pc） （3135KB）（65）       Knowledge map    Save To address the issues of an incomplete indicator system and oversimplified weight determination in current lifting machinery safety evaluation, a safety evaluation indicator system for lifting machinery was constructed based on Man,Machine,Milieu,Management(4M) factors theory and 95 lifting machinery accident investigation reports from 2019 to 2023. The BWM was employed to determine subjective weights, while an CRITIC method was introduced to determine objective weights. By applying game theory combination weighting, the subjective and objective weights were integrated to form composite weights, thereby enabling the weighting and evaluation of the established indicator system. The results reveal that human factors are the primary cause of lifting machinery accidents. During safety inspections of operators, particular attention should be paid to their safety awareness and technical proficiency. In safety inspections of lifting machinery, the effectiveness of safety protection devices and the structural integrity of key components should be emphasized. The model outputs are highly consistent with key safety indicators in the on-site inspection records, confirming the effectiveness of the proposed model in the safety evaluation of lifting machinery. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Risk assessment of UAV operation considering risk of mid-air collision LI Nan, YAN Boyun, SUN Linshi, HAN Peng, ZHENG Zhigang, JIAO Qingyu China Safety Science Journal    2025, 35 (10): 91-97.   DOI: 10.16265/j.cnki.issn1003-3033.2025.10.0894 Abstract （501）   HTML （6）    PDF（pc） （1870KB）（42）       Knowledge map    Save To improve the efficiency of UAV air traffic management, ensure flight safety and promote the safe application of UAVs in complex airspace environments, the risk assessment of UAV operation was focused in this paper. Firstly, for UAVs with autonomous perception and decision-making capabilities in unstructured airspace environments, based on key parameters such as airborne communication, navigation and surveillance capabilities, maneuvering characteristics and system response time. A conflict probability model and a collision probability model considering avoidance maneuvering strategies were constructed to quantitatively evaluate the airspace collision risks. Then, considering that UAV collision accidents do not directly cause casualties, a ground risk assessment model was constructed that comprehensively considers UAV aerial collision events and crashes caused by system failures. Finally, taking 1×10-6 deaths/flight hours as the safety target level, the safety separation that needs to be maintained during airborne flights was determined. The results show that considering both the conflict probability and the probability of the conflict escalating into a collision simultaneously can solve the problem of underestimated risks during the free flight stage. The maximum allowable collision risk varies significantly among different operating scenarios. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Influence mechanism of career resilience on safety performance of civil aviation pilots WU Fan, LAI Mimi, LI Mingyang China Safety Science Journal    2026, 36 (3): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2026.03.0771 Abstract （498）   HTML （1）    PDF（pc） （4018KB）（1）       Knowledge map    Save To enhance the safety performance of civil aviation pilots, this study constructs a three-dimensional analytical framework for career resilience based on affect, behavior, and cognition(ABC). Integrating machine learning with fsQCA, it empirically analyzes 229 questionnaire responses from Chinese civil aviation pilots. Building upon the measurement of antecedent variable importance weights using the random forest algorithm, the fsQCA method is further applied to decipher the impact mechanisms of different condition configurations on safety performance.The results indicated that no single factor constitutes a necessary condition for either high or non-high safety performance; however, learning willingness and cooperation consciousness play key roles in driving civil aviation pilots to achieve high safety performance. Five configurational paths leading to high safety performance are identified and categorized into three patterns: “emotionally empowered-behaviorally oriented,” “resilient collaboration-behaviorally dominant,” and “efficiency driven-intrinsically motivated.” In contrast, two configurational paths leading to non-high safety performance are classified as “behavior-atrophy” and “affection-deficiency” types. Furthermore, substitution relationships exist among conditional variables in the five configurations for high safety performance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Literature review on application of case-based reasoning in construction project safety risk management XIA Nini, XU Gan China Safety Science Journal    2025, 35 (10): 24-35.   DOI: 10.16265/j.cnki.issn1003-3033.2025.10.0588 Abstract （492）   HTML （2）    PDF（pc） （3604KB）（113）       Knowledge map    Save CBR can effectively address the issue of unclear elements in safety risk management. However, existing research lacks systematic reviews of its application status and development trends. To systematically summarize the current state of research on the application of CBR in construction safety risk management and to identify future research directions, this paper comprehensively reviewed 45 Chinese and 50 English papers, employing bibliometric analysis and content analysis. The results show that the number of publications shows a fluctuating upward trend and tends to stabilize, spanning multiple disciplines such as environmental science and computer science. Key scholars demonstrate both commonalities and differences in collaboration themes, with China ranking first in publication volume. The research themes have evolved from knowledge construction and methodological exploration toward integration and intelligent convergence. CBR has been widely applied in safety risk identification, analysis and assessment, response, and knowledge management, yet limitations remain regarding control targets, application scenarios, knowledge management, data integration, and workflow optimization. Future research should focus on expanding control targets, developing whole-process management scenarios, establishing collaborative knowledge management mechanisms, integrating multi-source heterogeneous data, and improving workflows to advance the development of intelligent safety risk management in construction projects. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Unsafe behavior recognition of miners in coal mine belt area based on multimodal feature fusion HAO Qinxia, ZHEN Haolong China Safety Science Journal    2025, 35 (11): 32-41.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0357 Abstract （487）   HTML （3）    PDF（pc） （7675KB）（48）       Knowledge map    Save To enhance the accuracy and robustness of miner behavior recognition in underground belt conveyor areas and reduce the occurrence of unsafe behaviors, a multimodal feature fusion-based recognition method was proposed. The method integrated RGB and skeletal modalities, where an improved Efficient Attention(EA)-SlowFast networkwas employed to extract RGB features, and an improved Mobile-Enhanced(ME)-YOLO was utilized for miner detection. The detected miners were subsequently processed by Lite-HRNet for pose estimation to extract skeletal keypoints, which were further encoded using an improved Depthwise Convolution and Channel Prior Attention Spatio-Temporal Graph Convolutional Network (DC-STGCN) to obtain skeletal features. Finally, late fusion of RGB and skeletal features was performed for unsafe behavior recognition. In the experimental design, both public datasets (Human Motion Database 51(HMDB51),University of Central Florida 101 Action Recognition Dataset(UCF101)) and a self-constructed underground coal mine unsafe behavior dataset were adopted for validation. The results demonstrate that, compared with single-modal baseline models, EA-SlowFast and DC-STGCN achieve recognition accuracies of 71.6% and 68.3% on HMDB51, and 88.3% and 85.4% on UCF101, respectively. The multimodal fusion model outperforms the unimproved fusion baseline, achieving 75.4% and 93.5% on HMDB51 and UCF101, respectively. On the self-constructed dataset, ME--YOLO attains a Mean Average Precision(mAP)@0.5 of 91.8% with an inference speed of 38 f/s, satisfying real-time requirements. The fusion model further achieves an accuracy of 90.6%, confirming the effectiveness of the proposed approach in complex underground belt conveyor environments. 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 （478）   HTML （5）    PDF（pc） （3999KB）（34）       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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China Safety Science Journal    2025, 35 (10): 247-247.   Abstract （476）   HTML （1）    PDF（pc） （2383KB）（11）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Research on primary responsibilities in prevention and handling of mine safety accidents Yu Jun, Cai Minghong China Safety Science Journal    2026, 36 (4): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2026.04.1258 Abstract （460）   HTML （0）    PDF（pc） （1860KB）（0）       Knowledge map    Save In order to promote the implementation of the responsibilities of participating entities in the prevention and handling of mine safety accidents, improve the efficiency of safety governance and reduce the risk of mine safety accidents, the assumption of an enterprises' illegal liability was analyzed. The authority and responsibility system of regulatory authorities was sort out. The guarantee mechanisms for the professionalism and objectivity of work safety social service institutions were explored. Drawing on the provisions and practical experience of foreign jurisdictions regarding the primary responsibilities for work safety, and putting forward legal suggestions for improving the prevention and handling of mine safety accidents in China. The findings show that the addition of punitive damages and differentiated penalties for repeated illegal acts are important factors for enterprises to consider the costs and liabilities of illegal acts, which can raise enterprises' awareness of the importance of wore safety and firmly establish their sense of responsibility for work safety. Allocating the responsibilities of regulatory authorities by stages and constructing a regulatory model that attaches equal importance to inspections and unannounced investigations can straighten out the predicament of unclear division of powers and responsibilities of regulatory authorities and improve regulatory efficiency. Refining the access threshold for work safety social service institutions, establishing an information disclosure platform, and clarifying the provisions on accountability and the practice withdrawal system can ensure the professionalism, transparency and objectivity of the services provided by work safety social service institutions. Reference | Related Articles | Metrics | Comments（0）

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Independent knowledge system of China's emergency science:construction logic and practical paths Tong Ruipeng, Wang Qian, Li Xinyang, Deng Yingqi, Hao Binxin China Safety Science Journal    2026, 36 (6): 1-8.   DOI: 10.16265/j.cnki.issn1003-3033.2026.06.0164 Abstract （457）   HTML （0）    PDF（pc） （3105KB）（0）       Knowledge map    Save To achieve the modernization of the emergency management system and capacity, this paper systematically expounded the disciplinary, academic and discourse system of emergency science. Centering on the theoretical, methodological and practical knowledge of emergency science, it explored the construction logic and practical paths of the independent knowledge system of emergency science in China. The findings show that construction logic of the independent knowledge system of China's emergency science takes the disciplinary system as foundation, the academic system as core, and discourse system as link. Among them, the core concepts of disciplinary system are divided into three categories: disciplinary ontology, management system and emergency behavior. Its research paths cover three paradigms: political-social, organizational-institutional and engineering-technical paradigm. The academic system of emergency science includes the evolutionary logic, theoretical framework and application of cutting-edge methods of independent knowledge production in emergency science. Its evolutionary stages are divided into the experience-drawing stage, practice-reflecting stage, theory-reshaping stage and system-constructing stage. Its theoretical framework comprises three dimensions: scenario deduction, system modeling and concept refinement, and its research methods cover the integrated application of multiple methods and intelligent information technologies. The discourse system of emergency science features the narrative characteristics of problem orientation, systematic thinking and practice guidance. China's emergency science has made important discourse contributions to the governance philosophy, cooperative mechanisms and knowledge production of global emergency governance. In terms of future prospects, resilient governance and intelligent emergency response jointly constitute the practical paths of the independent knowledge system of emergency science. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research on operational mechanism of safety science paradigms: a conceptual analysis based on safety-I, safety-II, and safety-III TONG Ruipeng, WANG Yiyan, WU Qi, MAO Ying, XU Surui, AN Yu China Safety Science Journal    2026, 36 (1): 7-16.   DOI: 10.16265/j.cnki.issn1003-3033.2026.01.0564 Abstract （436）   HTML （5）    PDF（pc） （4410KB）（67）       Knowledge map    Save In order to elucidate the essential differences among safety-I, safety-II, and safety-III, to clarify the operational mechanisms of safety science paradigms, and to promote the sustained development of safety science as a scientific discipline, this study adopted literature review and comparative analysis methods. The theoretical distinctions among the three from epistemological and methodological dimensions were analyzed. Then the construction and transformation of the safety science paradigm from the perspective of philosophy of science were discussed, and their paradigm positions were clarified. The results indicate that: Safety-I represents traditional accident causation theories or models that emphasize causality. Safety-II is a resilience theory that studies safety issues from a positive perspective. Safety-III is a systemic accident model grounded in systems theory and cybernetics. The safety science paradigm comprises one entity with four aspects. These aspects include the paradigm-free stage, paradigm establishment stage, normal science research stage, paradigm crisis stage, and paradigm shift stage. Currently, the safety science paradigm is dominated by accident causation theory and remains in the normal science research stage. Although there are signs of a paradigm crisis, it has not yet entered the paradigm shift period. Safety-I and Safety-III are research contents within the accident causation theory paradigm. However, Safety-II reflects changes in both beliefs and research perspectives. It can be seen as a new research direction in safety science, but it has not yet become a new paradigm. The future development of the safety science paradigm has three possible forms. It requires continuous practice and exploration led by new technologies. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Eye-tracking-based analysis of walk-around inspection behavioral characteristics in general aviation pilots WANG Yanqing, ZHANG Chengyue, REN Jingrui, ZHANG Shuhan, LIU Di China Safety Science Journal    2025, 35 (11): 42-48.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0542 Abstract （434）   HTML （2）    PDF（pc） （2491KB）（49）       Knowledge map    Save In order to enhance the proficiency of general aviation pilots in walk-around inspections and ensure aviation safety, eye-tracking technology was employed to measure and analyze the completion rates and fixation behavior characteristics of pilots categorized by experience level. Based on the walk-around checklists and inspection procedures, Diamond DA-40D aircraft was divided into six Areas of Interest (AOI), including the engine, wings, fuselage, landing gear, and empennage. During the participants' walk-around inspections, the completion rates of the walk-around checks and the characteristics of fixation behavior for these six AOI were recorded by means of an eye tracker. The results show that the completion rates of inspections in five AOI, including the empennage, engine, right wing, left wing, and left landing gear, were significantly higher in the veteran group than in the novice group. With the increase in flight experience, the completion rates of general aviation pilots' walk-around inspections gradually improve. Significantly higher total fixation durations and total fixation counts were observed in the experienced group compared to the novice group across five AOI: the engine, right landing gear, right wing, left wing, and left landing gear. A significantly longer average fixation duration on the engine AOI was demonstrated by the novice group relative to the experienced group. Recommendations are provided for training to place greater emphasis on the empennage section, right wing, left wing, and left landing gear areas. Additionally, enhancement of novices' inspection capabilities regarding the engine and left landing gear areas is suggested. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Synergistic study on dual-network for risk propagation and emergency response in earthquake disasters under extreme environments ZHANG Ludan, WANG Deyun, ZHU Wenkai, SUN Ying, GUO Haixiang China Safety Science Journal    2025, 35 (11): 198-206.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0323 Abstract （425）   HTML （1）    PDF（pc） （9146KB）（36）       Knowledge map    Save To optimize the emergency management system for plateau disasters and to address the scientific demand for improving governance effectiveness under extreme plateau environments, this study developed a dual-network framework—"risk propagation-emergency response"—using the Ms6.8 Shigatse earthquake in Tibet as a case study. Based on complex network theory, it uncovered the cascading dynamics of seismic risks and multi-actor coordination governance patterns. The analysis demonstrates that the cascading disaster network exhibits a core-periphery structure, where critical nodes trigger multi-level chain reactions via infrastructure fragility and cultural sensitivity. Plateau-specific disaster chains are identified, such as "cold survival crisis → mass livestock deaths → pressure of harmless treatment", alongside culturally embedded risks like "language barriers" and "religious site damage", and their impacts further promote the cultural adaptive reconstruction of the traditional emergency management system. The coordination network shows a decentralized, short-path, high-density topology, indicating efficient collaboration despite persistent hierarchical redundancy. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Review on diseased tunnel health diagnosis and reinforcement technologies JIANG Yujing, PAN Zhutian, ZHANG Xuepeng, LI Ningbo China Safety Science Journal    2025, 35 (11): 139-148.   DOI: 10.16265/j.cnki.issn1003-3033.2025.11.0116 Abstract （419）   HTML （5）    PDF（pc） （4751KB）（47）       Knowledge map    Save In order to reduce tunnel lining diseases and extend the safe service life, a diagnostic framework for tunnel lining diseases was constructed, and maintenance and reinforcement methods for diseased tunnels were explored from the perspectives of diagnosis and reinforcement. The application status of technologies for diagnosing tunnel diseases and maintaining/reinforcing tunnels was reviewed. The advantages and disadvantages of various detection technologies were systematically identified, and disease diagnosis methods and reinforcement measures were summarized. The results show that non-destructive testing technologies have evolved from single/semi-automatic to integrated/intelligent systems. Acoustic wave, ground-penetrating radar, and laser scanning technologies have different efficiency and accuracy characteristics. Although automatic detection systems integrating photogrammetry and multi-sensor fusion have gradually been applied, they face challenges in the synchronous detection of multiple diseases. Traditional maintenance and reinforcement technologies are difficult to meet the requirements of low cost and high safety. Although new technologies such as Fiber Reinforced Polymer (FRP) are advantageous, they have issues such as high cost and insufficient environmental adaptability. Table and Figures | Reference | Related Articles | Metrics | Comments（0）